I recently visited New York. I stayed in Kew Gardens Hills, a neighborhood located between Jamaica and Flushing, just close enough to the subway that it’s plausible to walk but just far enough that this walk is uncomfortable and I preferred to take a bus. The bus route, Main Street, is one of Queens’ busiest (see data here and here). I’ve been calling for investment in it for years, going back to a fantasy spite map I drew so long ago I don’t remember what year it was, and continuing more recently in my post on where New York should and shouldn’t build light rail. Last year, the route did get Select Bus Service, and I took it a few times. The result is not good.
Main Street maintains two bus corridors: the local Q20, and the Select Bus Service Q44. Almost every SBS route is an overlay of a local route and a rapid route; on the local route passengers must board from the front and pay within view of the driver, and on the rapid route passengers must validate a ticket at ticketing machines beforehand and can then board the bus from any stop, with the fare enforced via random checks for ticket receipts. This leads to the following problems, some preventable, some inherent to this setup:
- Passengers who can take either the local or the SBS route need to decide in advance whether to validate their tickets at the machines or not, based on whether the next bus is SBS. The resulting last-minute validation delays boarding. After the mayhem caused by the introduction of SBS to the M15, on First and Second Avenues, bus drivers on local routes began to accept the receipts spitted out by the SBS ticketing machines. However, this practice is either inconsistent or not widely-known among occasional bus riders, such as the people I was staying with, who own cars.
- The combination of local and limited buses on a medium-frequency route such as Main Street makes it impossible to maintain even headways. Even within each route (Q20 or Q44) I repeatedly saw bunching, but the different speeds of the Q20 and Q44 make bunching between a local and an express inevitable at some point on the route. Off-peak weekday frequency is 10 minutes on the Q20 and 8 on the Q44, which isn’t good enough to justify this split, especially given the bunching within each route; some stations will always be scheduled to have 8-minute service gaps, and in practice could see 15-minute gaps because of the bunching. See more on this problem of locals and rapids on infrequent routes on Human Transit.
- The expense of the ticketing machines ($75,000 per stop for a pair of modified MetroCard vending machines and a machine that takes coins) limits how widely they can be installed. Everywhere else where proof-of-payment is used, holders of valid transfers and season passes can just board the train or bus and show their pass to an inspector. This would be especially useful in New York, because the biggest crunch at SBS stops occurs when many passengers arrive at the stop at once, which in turn is the most common where passengers transfer from the subway. The slow process of validating a ticket leads to queues at busy times, and adding more machines is difficult because of their cost.
- Stop spacing is never what it should be. Most developed countries have converged on a standard of about 400-500 meters between successive bus stops. North America instead has converged on 200 meters, leading to slow buses that stop too often; see an old Human Transit post on the subject here. The stop spacing on the segment of the Q44 I was using was two stops in 1.7 km, leading to long walks between stops.
- On the schedule, the Q44 makes 15 stops in 9.2 km between its origin in Jamaica and Flushing, and takes 42 minutes in the midday off-peak. This is an average speed of 13.1 km/h. In contrast, Vancouver’s limited-stop buses, which average about a stop per kilometer on Broadway and 4th Avenue, average 20 km/h and 30 km/h respectively; the 4th Avenue buses do not have off-board fare collection, but there’s less traffic than on Broadway, and the stoplights give priority to through-traffic, both private and public, over crossing traffic.
The basic problem with New York’s approach to Select Bus Service is that all North American bus rapid transit ultimately descends from Jaime Lerner’s sales pitch of BRT as a cheap subway on tires, at grade. Lerner implemented BRT in Curitiba successfully, in the context of low wages: construction costs appear to only weakly depend on wealth (see e.g. my posts here, here, here, here, and here), but bus driver costs rise with average income, making replacing fifteen bus drivers with one subway driver a crucial money saver in rich cities and an unaffordable luxury in poor ones. North American BRT imitates Latin American BRT’s role as a cheap subway substitute, and ignores the superior usage of bus services in Europe, with which American transit planners do not dialog; there’s no systematic dialog with Latin American planners either, but Lerner has aggressively pitched his ideas to receptive audiences, whereas no comparable figure has pitched European-style reforms to the US.
In cities that think of BRT as a subway substitute, the BRT network will tend to be small, consisting of a few lines only serving the most important corridors, and bundle various features of improved transit together (off-board fare collection, larger vehicles, bus lanes, signal priority). After all, a line can’t be partly a subway and partly a bus. In Bogota, whose BRT system has eclipsed Curitiba and is the world’s largest, the BRT lines run different vehicles from the local lines: local buses have doors opening on the right to the curb, BRT buses have doors opening on the left to a street median bus station, some hybrids have buses with doors on both sides (see photos on Spanish Wikipedia). ITDP, which promotes Latin American-style BRT around the world, has a BRT scoring guideline that awards points to systems that brand their BRT lines separately from the rest of the bus network, as New York does with SBS.
In the European thinking, there’s already an improved quality urban transit service: the subway, or occasionally the tram. The bus is a bus. The biggest difference is that subway networks are smaller than bus networks. Paris and London, both with vast urban rail networks, have a number of subway lines measured in the teens, plus a handful of through-running commuter services; they have hundreds of bus routes. Instead of branding a few buses as special, they invest in the entire bus network, leading to systemwide proof-of-payment in many cities. Bus lanes and signal priority are installed based on demand on an individual segment basis. New York installs bus lanes without regard to local versus SBS status, but retains the special SBS brand, distinguished by off-board fare collection, and only installs it on a per-route basis rather than systemwide.
The other issue, unique to New York, is the ticket receipts. Everywhere else that I know of, bus stops do not have large ticket machines as New York does. Vancouver, which otherwise suffers from the same problem of having just a few special routes (called B-Lines), has no ticket machines at B-Line stops at all: people who have valid transfers or monthly passes can board at their leisure from any door, while people who don’t pay at the front as on local buses. SBS in contrast does not give passengers the option of paying at the front. In New York, people justify the current system by complaining that the MetroCard is outdated and will be replaced by a smart card any decade now; in reality, systems based on paper tickets (including Vancouver, but also the entire German-speaking world) manage to have proof-of-payment inspections without smartcards. Small devices that can read the MetroCard magnetic stripe are ubiquitous at subway stops, where people can swipe to see how much money they have left.
The right path for New York is to announce that every bus route will have off-board fare collection, regardless of stop spacing. It should also engage in stop consolidation to reduce the interstation to about 400-500 meters, but this is a separate issue from fare collection. Similarly, the question of bus lanes should be entirely divorced from fare collection. There should be no ticketing machines at bus stops of the kind currently used. At most, stops should have validators, similar to the MetroCard readers at subway turnstiles but without the fare barrier. Validators are not expensive: smartcard readers in Singapore are consumer items, available to people for recharging their cards at home via their credit cards for about $40, a far cry from the $75,000 cost in New York today. People with valid transfers or unlimited cards should be able to board without any action, and people without should be able to pay on the bus.
Finally, the split between local and rapid routes should be restricted to the busiest routes, with the highest frequency in the off-peak. Conceivably it should be avoided entirely, in favor of stop consolidation, in order to increase effective frequency and reduce bunching. The city’s single busiest route, the M15, has 7-minute SBS and 8-minute local service in the midday off-peak, and given how slow the local is, it’s enough to tip the scales in favor of walking the entire way if I just miss the bus.
It is a truth universally acknowledged that cities spend far more per rider on airport connectors than on other kinds of public transit. On this blog, see many posts from previous years on the subject. My assumption, and that of such other transit advocates as Charles Komanoff, was always that it came from an elite versus people distinction: members of the global elite fly far more than anyone else, and when they visit other cities, they’re unlikely to take public transit, preferring taxis for most intermediate-length trips and walking for trips around the small downtown area around their hotels.
In this post, I would like to propose an alternative theory. Commuters who use public transit typically use their regular route on the order of 500 times a year. If they also take public transit for non-work trips around the city, the number goes even higher, perhaps 700. In contrast, people who fly only fly a handful of times per year. Frequent business travelers may fly a few tens of times per year, still an order of magnitude less than the number of trips a typical commuter takes on transit.
What this means is that 2 billion annual trips on the New York-area rail network may not involve that many more unique users than 100 million annual trips between the region’s three airports. Someone who flies a few times per year and is probably middle class but not rich might still think that transportation to the airport is too inconvenient, and demand better. In the US, nearly half the population flies in any given year, about 20% fly at least three roundtrips, and 10% fly at least five. Usually, discussions of elite versus regular people do not define the elite as the top half; even the top 10% is rare, in these times of rhetoric about the top 1% and 0.1%. When Larry Summers called for infrastructure investment into airport transit, he said it would improve social equity because what he considered the elite had private jets.
But what’s actually happening is not necessarily about the top 0.1% or 1% or even 5% directing government spending their way. It may be so; certainly politicians travel far more than the average person, and so do very rich donors. But broad segments of the middle class fly regularly. The average income of regular fliers is presumably considerably higher than that of people who do not fly, but not to the same extent as the picture drawn by political populists.
None of this makes airport transit a great idea. Of course some projects are good, but the basic picture is still one in which per rider spending on airport connectors is persistently higher than on other projects, by a large factor. In New York, the JFK AirTrain cost about $2 billion in today’s money and carries 6.4 million riders a year, which would correspond to 21,000 weekday riders if it had the same annual-to-weekday passenger ratio as regular transit, 300 (it has a much higher ratio, since air travel does not dip on weekends the way commuter travel does). This is around $100,000 per rider, which contrasts with $20,000 for Second Avenue Subway Phase 1 if ridership projections hold. Earlier this year, the de Blasio administration proposed a developed-oriented waterfront light rail, projected to cost $1.7 billion and get 16 million riders a year, which corresponds to about $32,000 per daily rider; a subsequent estimate pegs it at $2.5 billion, or $47,000 per rider, still half as high as how much the AirTrain cost.
However, what I propose is that the high cost of airport connectors is not because the elite spends money on itself. Rather, it’s because many ordinary middle-class people fly a few times a year and wish for better airport transit, without thinking very hard about the costs and benefits. An airport connector appeals to a very wide section of the population, and may be very cheap if we divide the cost not by the number of daily users but by the number of unique annual users. Hence, it’s easier for politicians to support it, in a way they wouldn’t support an excessively costly subway line connecting a few residential neighborhoods to the city.
It’s a political failure, but not one that can be resolved by more democratic means. The conventional analysis that the root cause is excessive attention to elite concerns implies that if spending were decided in more democratic ways, it would be directed toward other causes. But if the hypothesis I’m putting forth is right, then democracy would not really resolve this, since the number of people who would benefit from an airport connector, if only shallowly, is large. A rigorous regime of cost-benefit analyses, including publicized estimates of cost per rider and the opportunity cost, would be required.
Last summer, I brought up a metric of railroad labor efficiency: annual revenue hours per train driver. Higher numbers mean that train drivers spend a larger proportion of their work schedule driving a revenue train rather than deadheading, driving a non-revenue train, or waiting for their next assignment. As an example, I am told on social media that the LIRR schedules generous crew turnaround times, because the trains aren’t reliably punctual, and by union rules, train drivers get overtime if because their train is late they miss the next shift. Of note, all countries in this post have roughly the same average working hours (and the US has by a small margin the highest), except for France, which means that significant differences in revenue hours per driver are about efficiency rather than overall working hours.
I want to clarify that even when union work rules reduce productivity, low productivity does not equal laziness. Low-frequency lines require longer turnaround times, unless they’re extremely punctual. Peakier lines require more use of split shifts, which require giving workers more time to commute in and out.
The database is smaller than in my posts about construction costs, because it is much harder to find information about how many train operators a subway system or commuter railroad employs than to find information about construction costs. It is often also nontrivial to find information about revenue hours, but those can be estimated from schedules given enough grunt work.
In Helsinki, there is a single subway trunk splitting into two branches, each running one train every 10 minutes all day, every day: see schedules here and here. This works out to 65,000 train-hours a year. There are 75 train drivers according to a 2010 factsheet. 65,000/75 = 867 hours per driver. This is the highest number on this list, and of note, this is on a system without any supplemental peak service, allowing relatively painless scheduling.
In Toronto, there were 80,846,000 revenue car-km on the subway in 2014
(an additional line, the Scarborough Rapid Transit, is driverless). Nearly all subway trains in Toronto have six cars; the Sheppard Line runs four-car trains, but is about 10% of the total route-length and runs lower frequency than the other lines. So this is around 13.5 million revenue train-km. According to both Toronto’s schedule of first and last trains per station and this chart of travel times, average train speed is around 32 km/h between the two main lines, and a bit higher on Sheppard, giving about 420,000 annual service hours. In 2009, there were 393,000 hours. Toronto runs two-person train operation, with an operator (driver) and a guard (conductor); this article from 2014 claims 612 operators and guards, this article from 2009 claims 500 operators alone. 420,000/500 = 840, and, using statistics from 2009, we get 393,000/500 = 786; if the article from 2014 misrepresents things and there are 612 drivers in total, then 420,000/612 = 686. If I had to pick a headline figure, I’d use 786 hours per driver, using the 2009 numbers. Update: the Scarborough RT is not driverless, even though the system could be run driverless; from the same data sources as for the subway, it had 23,000 operating hours in 2014, which adds a few percent to the operating hours per driver statistic.
In London, unlike in North America, the statistics are reported in train-km and not car-km. There are 76.2 million train-km a year, and average train speed is 33 km/h, according to a TfL factsheet; see also PDF-p. 7 of the 2013-4 annual report. In 2012, the last year for which there is actual rather than predicted data, there were 3,193 train drivers, and according to the annual report there were 76 million train-km. 76,000,000/33 = 2,300,000 revenue-hours; 2,300,000/3,193 = 721 hours per driver.
In Tokyo, there used to be publicly available information about the number of employees in each category, at least on Toei, the smaller and less efficient of the city’s two subway systems. As of about 2011, Toei had 700 hours per driver: from Hyperdia‘s schedules, I computed about 390,000 revenue train-hours per year, and as I recall there were 560 drivers, excluding conductors (half of Toei’s lines have conductors, half don’t).
In New York, we can get revenue car-hour statistics from the National Transit Database, which is current as of 2013; the subway is on PDF-p. 13, Metro-North is on PDF-p. 15, and the LIRR is on PDF-p. 18. We can also get payroll numbers from SeeThroughNY. The subway gets 19,000,000 revenue hours per year; most trains have ten cars, but a substantial minority have eight, and a smaller minority have eleven, so figure 2,000,000 train-hours. There were 3,221 train operators on revenue vehicles in 2013, and another 373 at yards. This is 556 hours per driver if the comparable international figure is all drivers, or 621 if it is just revenue vehicle drivers. The LIRR gets 2,100,000 annual revenue car-hours, and usually runs trains of 8 to 12 cars; figure around 210,000. There were 467 engineers on the LIRR in 2013; this is 450 hours per driver. Metro-North gets 1,950,000 annual revenue car-hours, and usually runs 8-car trains; figure about 240,000. It had 413 locomotive engineers in 2013; this is 591 hours per driver.
In Paris, the RER A has 523 train drivers (“conducteurs”). The linked article attacks the short working hours, on average just 2:50 per workday. The timetable is complex, but after adding the travel time for each train, I arrived at a figure of 230,000 train-hours a year. 230,000/523 = 440 hours per driver. There’s a fudge factor, in that the article is from 2009 whereas the timetable is current, but the RER A is at capacity, so it’s unlikely there have been large changes. Note also that in France, workers get six weeks of paid vacation a year, and a full-time workweek is 35 hours rather than 40; adjusting for national working hours makes this equivalent to 534 hours in the US, about the same as the New York subway.
Stockholm is currently expanding its transit system, with about 19 kilometers of subway extension, and another 6 kilometers of a commuter rail tunnel taking regional traffic off the at-capacity mainline. The subway extension, excluding rolling stock acquisition, costs about $2.1 billion, and the commuter rail extension $1.8 billion.
The US is currently building five subways: Second Avenue Subway Phase 1 (2.8 km, $4.6 billion), East Side Access (2.2 km, $10 billion), the first phase of the Wilshire subway (6.3 km, $2.8 billion), the Regional Connector (3.1 km, $1.4 billion), U-Link (5 km, $1.8 billion). Two more projects are partially underground: the Crenshaw/LAX Line, a total of 13.7 km of which 4.7 are underground, at a total cost of $2.1 billion, and the Warm Springs BART extension, a total of 8.6 km of which 1.6 are underground, at a total cost of $900 million. (Update 2/1: the Central Subway is $1.6 billion for 2.8 km. Thanks to Joel for pointing out that I forgot about it.)
The first observation is that Sweden has just
700 meters 3.5 km of subway under construction less than the US under construction, despite a vast gap in not only population but also current transit usage. Stockholm may have twice the per capita rail ridership of New York, but it’s still a small city, the size of Indianapolis, Baltimore, Portland, or Charlotte; 450 million annual rail trips is impressive for a city of its size, but the US combined has more than 3 billion. This relates to differences in costs: the amount of money Sweden is putting into heavy rail infrastructure is $3.9 billion, vs. $23.6 billion $25.2 billion among the seven eight US projects, which approaches the ratio of national subway and commuter rail ridership levels.
The second observation is that the US spending is not really proportional to current rail ridership. Two thirds of the spending is in New York, as is two thirds of US rail ridership, but nearly everything else is in Los Angeles, which takes in a majority of current subway construction route-length. Los Angeles is a progressive city and wants better public transit, but the same is true in many of the six major US transit cities – New York, Washington, San Francisco, Chicago, Boston, and Philadelphia. And yet, of those six, only New York and San Francisco are building urban subways (BART’s one mile of tunnel is in a suburb, under a park).
The difference is that Los Angeles builds subways at $400-450 million per km in the city core (less in future phases of the Wilshire subway), whereas in most of the US, lines are either more expensive or more peripheral. Boston, the Bay Area, and Washington are expanding their rapid transit networks, but largely above-ground or in a trench, and only outside the core. Boston’s Green Line Extension is in a trench, but has had major budget overruns and is currently on the high side for a full subway ($3 billion for 6.9 km), and the MBTA is even putting canceling the project on the table due to the cost. Washington’s Silver Line Phase 2 is 18.5 km and $2.7 billion, in a highway median through the Northern Virginia suburbs. BART’s Warm Springs extension is about $100 million per km, which is not outrageously high, but the next extension of the line south, to Berryessa, is $2.3 billion for 16 km, all above ground.
Let us now stay on the North American West Coast, but go north, to Vancouver. Vancouver’s construction costs are reasonable: the cost projections for the Broadway subway (C$2.7 billion ex-vehicles, PDF-p. 95) are acceptable relative to route-length (12.4 km, PDF-p. 62) and very good relative to projected ridership (320,000 per weekday, PDF-p. 168). Judging by the costs of the Evergreen and Canada Lines, and the ridership evolution of the Canada Line, these projections seem realistic. And yet, in a May 2015 referendum about funding half the line as well as many other transit projects, 62% of the region’s voters, including a bare majority in Vancouver proper, voted no.
The referendum’s result was not a shock. In the few months before the vote, the polls predicted a large, growing no vote. Already in February, the Tyee was already comparing Vancouver negatively with Stockholm, and noting that TransLink’s regional governance structure was unusual, saying the referendum was designed to fail. This is not 100% accurate: in 2014, polls were giving the yes side a majority. The deterioration began around the end of 2014 or beginning of 2015: from 52-39 in December to 46-42 in January, to 27-61 in March. The top reason cited by no voters was that they didn’t trust TransLink to spend the money well.
This cannot be divorced from Vancouver’s Compass Card debacle: plans to replace paper tickets and SkyTrain’s proof-of-payment system with a regionwide smartcard, called Compass, and faregates on SkyTrain, were delayed and run over budget. The faregates aren’t even saving money, since TransLink has to pay an operating fee to vendor Cubic that’s higher than the estimated savings from reduced fare evasion. The height of the scandal was in 2014, but it exploded in early 2015, when TransLink replaced its manager amidst growing criticism. The referendum would probably have been a success a year earlier; it was scheduled in what turned out to be a bad period for TransLink.
The importance of the Vancouver example is that construction costs are not everything. Transit agencies need to get a lot of things right, and in some cases, the effects are quite random. (Los Angeles, too, had a difficult rollout of a Cubic-run faregate system.) The three key principles here are, then:
1. Absolute costs matter. They may not directly affect people’s perceptions of whether construction is too expensive. But when legislators have to find money for a new public transit project, they have some intuitive idea of its benefits, give or take a factor of perhaps 2. Gateway is being funded, even though with the latest cost overrun (to $23.9 billion) the benefit-cost ratio in my estimation is about 1/3, but this involved extensive lobbying by Amtrak, lying both to Congress and to itself that it is a necessary component of high-speed rail. Ordinary subways do not have the luxury of benefiting from agency imperialism the way the Gateway project did; if they’re too expensive, they’re at risk of cancellation.
2. Averaged across cities and a number of years of construction, cities and countries with lower construction costs will build more public transit. We see this in the US vs. Sweden. Of course, there are periods of more construction, such as now, and periods of less, such as around 2000, but this affects both countries right now.
3. Variations from the average are often about other issues of competence – in Vancouver’s case, the failure of the faregates and the delayed Compass rollout. Political causes are less important: Vancouver’s business community opposed the transit referendum and organized against it, but it’s telling that it did so and succeeded, whereas business communities in cities with more popular transit authorities support additional construction.
In a post from 2011, Yonah Freemark argued that California HSR’s projected cost’s upper end was just 0.18% of the projected GDP of California over a 20-year construction period. The implication: the cost of high-speed rail (and public transit in general) is small relative to the ability of the economy to pay. This must be paired with the sobering observation that the benefits of public transit are similarly small, or at most of the same order of magnitude.
New York’s survived decades without Second Avenue Subway. It’s a good project to have, provided the costs are commensurate with the benefits, but without cost containment, phase 2 is probably too expensive, and phases 3 and 4 almost certainly. What’s more, the people funding such projects – the politicians, the voters, even the community organizations – consider them nice-to-haves. The US has no formal mechanism of estimating benefit-cost ratios, and a lot of local political dysfunction, and this can distort the funding, to the point that Gateway is being funded even though at this cost it shouldn’t. But, first, even a factor of 3 distortion is unusual, and second, on average, these distortions cancel out. Democrats and Republicans shouldn’t plan on controlling either Congress or the White House more than about half the time, in the long run, and transit activists shouldn’t plan on political dysfunction persistently working in their favor.
The only route forward is to improve the benefit-cost ratio. On the benefit side, this means aggressive upzoning around subway stations, probably the biggest lacuna in Los Angeles’s transit construction program. But in New York, and even in the next five transit cities in the US, this is not the main problem: population density on many corridors is sufficient by the standards of such European transit cities as Stockholm, Berlin, London, and Munich, none of which is extraordinarily dense like Paris.
No: the main problem in most big US cities is costs, and almost only costs. Operating costs, to some extent, but mainly capital construction costs. Congress and the affected states apparently have enough political will to build a 5-km tunnel for $20 billion going on $24 billion; if this system could be built for $15 billion, they’d jump at the opportunity to take credit. The US already has the will to spend reasonable amounts of money on public transit. The difference is that its
$24 billion $25 billion of spending on subways buys 26 km 28.5 km of subway and 16 km of a mix of light rail and el, where it could be buying 120 km 125 km of subway. Work out where you’d build the extra 94 km 96.5 km and ask yourself if ignoring costs is such a good idea for transit activists.
In Seattle, there is an ongoing controversy over a plan to redesign the bus network along the principles proposed by Jarrett Walker: fewer one-seat rides to the CBD, more frequent lines designed around transfers to Link, the city’s light rail system. For some background about the plans, see Capitol Hill Seattle, Seattle Transit Blog, and the transit agency on a restructure specific to an upcoming Link extension to the university (U-Link), and Seattle Transit Blog on general restructure, called RapidRide+. The U-Link restructure was controversial in the affected neighborhood, with many opposing changes to their particular bus route.
Since the core of the plan, as with many restructure plans in North America, is to get people to transfer between frequent core routes more and take infrequent one-seat rides less, this has led to discussion about the concept of transfers in general, and specifically the transfer penalty. I bring this up because of a new post by Jason Shindler on Seattle Transit Blog, which misunderstands this concept. I would like to both correct the mistake and propose why transfers lead to so much controversy.
The transfer penalty is an empirical observation that passengers prefer trips with fewer transfers, even when the travel time is the same. Usually, the transfer penalty is expressed in terms of time: how much longer the one-seat ride has to be for passengers to be indifferent between the longer one-seat trip and the shorter trip with transfers. For some literature review on the subject, see Reinhard Clever’s thesis and a study by the Institute for Transportation Studies for the California Department of Transportation.
Briefly, when passengers take a transit trip with a transfer, making the transfer takes some time, which consists of walking between platforms or stops, and waiting for the connecting service. Passengers weight this time more heavily than they do in-vehicle travel time. According to New York’s MTA’s ridership model, passengers weight transfer time 1.75 times as much as they do in-vehicle time. In other words, per the MTA, passengers are on average indifferent between a one-seat ride that takes 37 minutes, and a two-seat ride that takes 34 minutes of which 4 are spent transferring. Observe that by the MTA’s model, timed cross-platform transfers are zero-penalty. Other models disagree – for example, the MBTA finds an 11-minute penalty on top of a 2.25 factor for transfer time.
The transfer penalty can be reduced with better scheduling. Timed transfers reduce the waiting penalty, first because there is less waiting on average, and second because the (short) waiting time is predictable. When transfers cannot be timed, I believe countdown clocks reduce the waiting penalty. Walking between platforms or bus stops can be made more pleasant, and bus stops can be moved closer to train station entrances.
However, regardless of what the transit agency does, the transfer penalty is an average. Even for the same origin and destination, different people may perceive transfers differently. Any of the following situations can result in a higher transfer penalty:
- Heavy luggage. This also leads to bias against staircases, and often against transit in general and for cars and taxis. The waiting penalty does not grow, but there may be a significant penalty even for cross-platform transfers.
- Travel in large groups, especially with children. As an example, in comments here and on Itinerant Urbanist, Shlomo notes that ultra-Orthodox Jews, who travel with their large families, prefer one-seat bus rides over much faster and more frequent train rides. Families of 3-5 are also much likelier to drive in a family car than to take an intercity train or bus.
- Disability, including old age. This has similar effect to heavy luggage.
- Lack of familiarity with the system. This is common for tourists but also for people who are used to taking a particular bus route who are facing significant route restructuring. This can also create a large bias in favor of trams or trolleybuses, since their routes are marked with overhead wires and (for trams) rails, whereas bus routes are not so obvious.
- Reading, or getting other work done in transit. For longer intercity trips, sleeping is in this category, too. This tends to bias passengers against mid-trip transfers especially, more so than against start-of-trip and end-of-trip transfers.
- Seat availability. Passengers who get on a bus or train when it still has seats available may prefer to keep their seat even if it means a longer trip, and this shows up as a transfer penalty. This does not usually affect start-of-trip transfers (buses and trains probably still have seats), but affects mid- and end-of-trip transfers.
In contrast, people who are not in any of the above situations often have very low transfer penalties. In New York, among regular users of the subway who do not expect to get a seat, zero-penalty transferring appears to be the norm, especially when it’s cross-platform between local and express trains on the same line.
Usually, people in groups 3 and 4 are the major political forces against bus service restructuring plans. They’re also less willing to walk longer distances to better service, which makes them oppose other reforms, including straightening bus routes and increasing the average interstations in order to make bus routes run faster. This is also true of people in groups 1 and 2, but usually those are not inherent to the passenger: most disabled people are always disabled, but most passengers with luggage usually travel without luggage. The one exception is airport travel, where luggage is the norm, and there we indeed see more advocacy for one-seat rides to the CBD.
The key observation here is that even a route change that is a net benefit to most people on a particular origin-destination pair is sometimes a net liability to some riders on that pair. While it’s a commonplace that reforms have winners and losers, for the most part people think of it in terms of different travel patterns. Replacing a CBD-focused system with a grid leads to some losers among CBD-bound riders and winners among riders who travel crosstown; boosting off-peak frequency creates winners among off-peak travelers; straightening one kink in a bus route leads to losers among people served by that kink and winners among people riding through. The different transfer penalties are a different matter: even on the same origin-destination pair, among people traveling at the same time, there are winners and losers.
Solutions to this issue are bound to be political. The transit agency can estimate the net benefit of a restructure, and sell it on those grounds, but it’s not completely a win-win; thus some political process of conflict resolution is required.
In this particular case, the community process is reasonable. The main flaw of the community process is that the people who come to meetings are not representative of the body of riders and potential riders, and are especially likely to be NIMBYs. For example, on Vancouver’s West Side, the community meetings for the Broadway subway were dominated by NIMBYs who didn’t want outsiders (especially students) to have an easier commute to UBC, and not by people who could use the subway, often traveling through the West Side without living or working in it.
But the conflict when it comes to transfers is between groups of people who live in the same area. Moreover, there is no clear bias in either direction. Older people, who are usually more averse to change, are especially likely to show up to meetings; but so are transit activists, who are more informed about the system and thus more willing to transfer. People with intense familiarity with their home bus line are balanced out by people with familiarity with the system writ large. There is also no opposition of a widely shared but small benefit to most against a narrow loss to the few: instead, such reforms produce a large array of changes, ranging from major gains to major losses. Finally, frequent bus grids do not generate much transit-oriented development, unlike rail, which produces NIMBY contingents who are against transit investment on the grounds that it would lead to upzoning and new development (as in the above example from Vancouver).
The result is that here, political control can lead to positive outcomes, as the transit agency is required to consider the effect of change on many subsets of riders. Frequent grids really do generate losers, who deserve to be heard. In this case, it appears that they are outnumbered by winners, but the winners have as much of a political voice as the losers; there is no large gap between good transit and what the community thinks good transit is.
In New York, the MTA has consistent guidelines for how frequently to run each subway route, based on crowding levels. The standards are based on crowding levels at the point of maximum crowding on each numbered or lettered route. Each line is designed to have the same maximum crowding, with different systemwide levels for peak and off-peak crowding. While this approach is fair, and on the surface reasonable, it is a poor fit for New York’s highly branched system, and in my view contributes to some of the common failings of the subway.
Today, the off-peak guidelines call for matching frequency to demand, so that at the most crowded, the average train on each route has 25% more passengers than seats. Before the 2010 service cuts, the guidelines had the average train occupied to exact seating capacity. At the peak, the peak crowding guidelines are denser: 110 passengers on cars on the numbered lines, 145 on shorter (60’/18 m) cars on the lettered lines, 175 on longer (75’/23 m) cars on the lettered lines. There’s a minimum frequency of a train every 10 minutes during the day, and a maximum frequency at the peak depending on track capacity. When the MTA says certain lines, such as the 4/5/6, are operating above capacity, what it means is that at maximum track capacity, trains are still more crowded than the guideline.
In reality, guideline loads are frequently exceeded. Before the 2010 service cuts, many off-peak trains still had standees, often many standees. Today, some off-peak trains are considerably fuller than 25% above seated capacity. In this post, I’d like to give an explanation, and tie this into a common hazard of riding the subway in New York: trains sitting in the tunnels, as the conductor plays the announcement, “we are delayed because of train traffic ahead of us.”
The key takeaway from the system is that frequency at each time of day is calculated separately for each numbered or lettered route. Even when routes spend extensive distance interlined, as the 2/3 and 4/5 do, their frequencies are calculated separately. As of December 2014, we have the following headways, in minutes:
|Line||AM peak||Noon off-peak||PM peak|
Consider now the shared segments between the various lines. The 4 comes every 4.5 minutes in the morning peak, and the 5 every 5 minutes. There is no way to maintain even spacing on both lines with these headways: they share tracks for an extensive portion of their trip. Instead, the dispatchers move trains around to make sure that headways are as even as possible on both the shared trunk segments and the branches, but something has to give. In 45 minutes, there are ten 4s and nine 5s. Usually, on trunk lines with two branches, trains alternate, but here, it’s not possible to have a perfect alternation in which each 4 is followed by a 5 and each 5 is followed by a 4. There is bound to be a succession of two 4s: the second 4 is going to be less crowded than the guideline, and the following 5 is going to be more crowded.
It gets worse when we consider the extensive reverse-branching, especially on the lettered lines. For example, on its northbound journey, the Q initially does not share tracks with any line; then it shares tracks with the B, into Downtown Brooklyn; then it crosses into Manhattan sharing tracks with the N; then it again shares tracks with no other route, running express in Manhattan while the N runs local; then it shares tracks with the N and R into Queens; and then finally it shares tracks with the N in Queens. It is difficult to impossible to plan a schedule that ensures smooth operations like this, even off-peak, especially when the frequency is so variable.
Concretely, consider what happens when the Q enters Manhattan behind an N. Adequate separation between trains is usually 2 minutes – occasionally less, but the schedule is not robust to even slight changes then. To be able to go to Queens ahead of the N, the Q has to gain 4 minutes running express in Manhattan while the N runs local. Unfortunately, the Q’s express jaunt only skips 4 stations in Manhattan, and usually the off-peak stop penalty is only about 45 seconds, so the Q only gains 3 minutes on the N. Thus, the N has to be delayed at Herald Square for a minute, possibly delaying an R behind it, or the Q has to be delayed 3 minutes to stay behind the N.
In practice, it’s possible to schedule around this problem when schedules are robust. Off-peak, the N, Q, and R all come every 10 minutes, which makes it possible to schedule the northbound Q to always enter Manhattan ahead of the N rather than right behind it. Off-peak, the services they share tracks with – the B, D, and M – all come every 10 minutes as well. The extensive reverse branching still makes the schedule less robust than it can be, but it is at least possible to schedule non-conflicting moves. (That said, the M shares tracks with the much more frequent F.) At the peak, things are much harder: while the N, Q, and R have very similar headways, the D is considerably more frequent, and the B and M considerably less frequent.
I believe that this system is one of the factors contributing to uneven frequency in New York, with all of the problems it entails: crowding levels in excess of guidelines, trains held in the tunnel, unpredictable wait times at stations. Although the principle underlying the crowding guidelines is sound, and I would recommend it in cities without much subway branching, in New York it fails to maintain predictable crowding levels, and introduces unnecessary problems elsewhere.
Instead of planning schedules around consistent maximum crowding, the MTA should consider planning schedules around predictable alternation of services on shared trunk lines. This means that, as far as practical, all lettered lines except the J/Z and the L should have the same frequency, and in addition the 2/3/4/5 should also have the same frequency. The 7 and L, which do not share their track or route with anything else, would maintain the present system. The J/Z, which have limited track sharing with other lines (only the M), could do so as well. The 1 and 6 do not share tracks with other lines, but run local alongside the express 2/3 and 4/5. Potentially, they could run at exactly twice the frequency of the 2/3/4/5, with scheduled timed local/express transfers; however, while this may work for the 6, it would give the 1 too much service, as there is much more demand for express than local service on the line.
To deal with demand mismatches, for example between the E/F and the other lettered lines, there are several approaches, each with its own positives and negatives:
– When the mismatch in demand is not large, the frequencies could be made the same, without too much trouble. The N/Q/R could all run the same frequency. More controversially, so could the 2/3/4/5: there would be more peak crowding on the East Side than on the West Side, but, to be honest, at the peak the 4 and 5 are beyond capacity anyway, so they already are more crowded.
– Some services could run at exactly twice the frequency of other services. This leads to uneven headways on the trunks, but maintains even headways on branches. For example, the A’s peak frequency is very close to exactly twice that of the C, so as they share tracks through Lower Manhattan and Downtown Brooklyn, they could alternate A-C-A-empty slot.
– Services that share tracks extensively could have drastic changes in frequency to each route, preserving trunk frequency. This should be investigated for the E/F on Queens Boulevard: current off-peak frequency is 8 trains per hour each, so cutting the E to 6 and beefing the F to 12 is a possibility.
– Service patterns could be changed, starting from the assumption that every lettered service runs every 10 minutes off-peak and (say) 6-7 minutes at the peak. If some corridors are underserved with just two services with such frequency, then those corridors could be beefed with a third route: for example, the Queens Boulevard express tracks could be supplanted with a service that runs the F route in Jamaica but then enters Manhattan via 53rd Street, like the E, and then continues either via 8th Avenue like the E or 6th Avenue like the M. Already, some peak E trains originate at Jamaica-179th like the F, rather than the usual terminus of Jamaica Center, which is limited to a capacity of 12 trains per hour.
– The service patterns could be drastically redrawn to remove reverse branching. I worked this out with Threestationsquare in comments on this post, leading to a more elegant local/express pattern but eliminating or complicating several important transfers. In particular, the Broadway Line’s N/Q/R trains could be made independent of the Sixth Avenue trains in both Queens and Brooklyn, allowing their frequencies to be tailored to demand without holding trains in tunnels to make frequencies even.
For the lettered lines, I have some affinity for the fourth solution, which at least in principle is based on a service plan from start to finish, rather than on first drawing a map and then figuring out frequency. But it has two glaring drawbacks: it involves more branching than is practiced today, since busy lines would get three services rather than two, making the schedule less robust to delays; and it is so intertwined with crowding levels that every major service change is likely to lead to complete overhaul of the subway map, as entire routes are added and removed based on demand. The second drawback has a silver lining; the first one does not.
I emphasize that this is more a problem of reverse branching than of conventional branching. The peak crowding on all lines in New York, with the exception of the non-branched 7 and 1, occurs in the Manhattan core. Thus, if routes with different colors never shared tracks, it would not be hard to designate a frequency for each trunk route at each time of day, without leading to large mismatches between service and demand. In contrast, reverse branching imposes schedule dependencies between many routes, to the point that all lettered routes except the L have to have the same frequency, up to integer multiples, to avoid conflicts between trains.
The highly branched service pattern in New York leads to a situation in which there is no perfect solution to train scheduling. But the MTA’s current approach is the wrong one, certainly on the details but probably also in its core. It comes from a good place, but it does not work for the system New York has, and the planners should at least consider alternatives, and discuss them publicly. If the right way turns out to add or remove routes in a way that makes it easier to schedule trains, then this should involve extensive public discussion of proposed service maps and plans, with costs and benefits to each community openly acknowledged. It is not good transit to maintain the current scheduling system just because it’s how things have always worked.
Cap’n Transit is writing about how, given that the political system in the New York area is hostile to public transportation expansion, private taxi companies are filling the gap,
and this is fine (update: see the Cap’n’s comment below). This is not the first time I see people in the US claim that private shared-ride services are a substitute for public transportation; on Vox, Timothy Lee wrote that a ride-share service offered by Lyft is “the beginning of the end” for public transit. The tones are different – the Cap’n is hopeful that these services would get people out of cars, Timothy Lee is denigrating public transit and its supporters – but the message is the same: ride share is a substitute. I would like to explain why not only is this not happening, but also any hope of Uber, Lyft, and similar companies making the jump to conventional public transit is unlikely.
First, let us consider costs briefly. The biggest marginal cost of bus service is the driver, leading various futurists to fantasize about driverless taxis vastly reducing costs and competing with large buses. The only problem is, it costs too much to operate a car even without taking the driver’s wage into account. In the US, households spend 19% of their income on transportation; nearly all of this is private cars rather than plane travel or public transit. This works out to around $1.5 trillion a year, or about 30 cents per vehicle-km. Taxis have to pay this, and more, due to the cost of either the driver’s wage or the technology involved in automation. This is within the range of US urban public transportation‘s cost per passenger-km; the New York subway is 21 cents, and to be accessible to the masses it is subsidized. Of course, given automation, the subway would cost substantially less to operate.
This means that the only way taxi services can be affordable is if people share rides; Uber and Lyft are indeed moving in that direction. The problem is that sharing a car with a stranger ends the entire advantage of being in a car rather than on a train or bus. Slugging is not a popular mode of transportation; Wikipedia mentions a few thousand daily users in various US cities, whose subway systems get multiple hundreds of thousands of users. To offer even somewhat reasonable fares on their shared ride services, UberPool offers $5 promotional fares, and a maximum of two unrelated riders per car; sometimes, when the Uber system can’t find a second rider, there is just one rider, paying an express bus fare for private taxi service. It is not possible to make a profit in this manner.
Now, what the private sector can do, beyond taxis, is to scale up and offer vans and buses. It happens every day in the urban parts of New York beyond subway range: these are the dollar vans of various immigrant neighborhoods in Brooklyn and Queens, and the private services running in Hudson County. It’s possible that Uber and Lyft will eventually go that route. So far, tech startups involved in transportation have tried to reinvent the wheel, for example Leap’s failed attempt to provide premium buses within San Francisco, but it’s possible that a well-capitalized private company will instead try to offer more conventional bus service.
The problem is that the private sector has never in recent history scaled beyond that. This was not always the case: the London Underground, the New York els, and the Chicago L were built by private companies, often in competition with each other; in Japan, there are many private railroads, which built commuter lines by themselves in the prewar era. However, in recent years, rapid transit outside Japan has always been built publicly; when private companies exist, they either operate trains by contract, as in Singapore, or were initially public and only privatized after they were already running trains, as in Hong Kong. Japan belongs in the same category as Hong Kong, with one complication: the private railroads still build commuter lines in the suburbs, but, at least in Tokyo, they rely on the publicly-built subway for passenger distribution within the city core, as (due to prewar government regulations) the private lines do not enter Central Tokyo. Let us examine why it’s the case that the private sector no longer builds subway systems.
In the biggest cities of the world in 1900, the urban geography was simple: people worked in city center, or in their own neighborhood. This monocentric arrangement made it easy to build streetcars and rapid transit privately, since all a company needed was to build a line from the center to some suburb or outer-urban neighborhood. Network effects were weak, and transfers were not so important. The Manhattan els radiated north from South Ferry because there wasn’t much demand for east-west transportation; the Brooklyn els, the Chicago Ls, and the London Underground lines similarly radiated from the center in all directions.
Developing-world cities are in a similar situation. As they build their CBDs, they create situations in which people work in their home neighborhoods or in the CBD. For example, Nairobi’s matatu network is CBD-centric, with not much crosstown service, because the jobs that require commuting are concentrated in the CBD. Of course, there are many local jobs within neighborhoods, but usually people work in their own neighborhoods rather than commuting crosstown. However, construction costs in the third world are typically higher than they were in 1900 in what is now the developed world. When New York built the Dual Contracts – already at public expense – the cost was $366 million, which is (contrary the link to the cost figure) $8.6 billion today. This is around $50 million per km, about 42% underground. This cost is not unheard of today, but it is low; in China, $160 million per km is more typical of underground construction. See examples here, here, and here. Moreover, in the poorest countries considering transit expansion today, incomes are a fraction of the level of the US of 1913 ($6,500 in today’s dollars): Kenya’s GDP per capita is $3,000, Ethiopia’s is $1,500. Thus, rapid transit is less affordable. India, at $6,000, is more comparable to the US a hundred years ago, but it has high construction costs, and an urban geography that’s diverging from the monocentric layout I’m describing here.
In the developed world, construction costs, while higher than a hundred years ago, are more affordable, because the GDP per capita is not $6,000 but $30,000-$60,000. However, the cities are no longer monocentric; even relatively monocentric Stockholm has major secondary centers in the universities and in Kista, with high peak demand for subway service. In a polycentric city, a single line is no longer enough; the transit lines must work together as a network. The entire philosophy of Jarrett Walker‘s network restructures (i.e. the frequent grid) is based on this fact, taking bus networks that have not changed much from back when the cities were monocentric and updating them to reflect modern-day everywhere-to-everywhere travel reality.
With network effects so great, private startups can’t really step in and supplant the public sector. The barriers to entry are large, which is why the only companies doing so have a long history of corporate existence, either as private Japanese railroads or as recently-privatized companies, and are not startups. Of course, online social networks have large network effects as well, but they operate in a young industry, whereas transportation is a mature, conservative industry, without much opportunity to offer new service that does not yet exist. Advances come from engineering and network design and are slow and cumulative, unlike the situation in the tech sector.
Of course, the government could structure its regulations in a way that lets the private sector tap into public-sector network effects. For example, it could compel operators to cross-honor one another’s transfer tickets. But this is the exact opposite of how tech startups work, which is without such regulations. You can’t send a Facebook message to a Twitter account. It’s also not how European private ventures that run on public tracks and compete with public operators work: the Italian private high-speed rail service, NTV, does not cross-honor tickets from the public operator, Trenitalia, and vice versa. Once the government mandates free transfers between companies, and joint planning for network optimization, and schedules that are more cooperative than competitive, we’re back in the world of public planning, and the private companies just run service by contract, as they already do in such cities as Singapore and Stockholm.
Improving public transit, then, requires improving the public side of transit. Taxis are a niche; so are buses that can be run privately, to the CBD or to the public subway network. The core of transit ridership, in the cities where public transit usage is high, consists of a mesh of buses and rapid transit that cannot be grown spontaneously by the private sector. If the government can’t provide this, the city will be auto-oriented. Good transit advocates have to then work to make sure the government is more competent and can build this network, rather than hope successful private ventures will save them; there is no alternative.
The main street of Hudson County from Jersey City north is Bergenline Avenue. It passes through the densest cities in the US (denser than New York, which is weighed down by outer-urban areas), and hosts frequent jitney service. Last decade, New Jersey began to document jitney service in North Jersey, producing a report in 2011 that identified major corridors; Bergenline is the busiest, with a jitney almost every minute, and almost as frequent additional jitney and New Jersey Transit service on the northern part of the route running into Manhattan via the Lincoln Tunnel. This was discussed extensively on Cap’n Transit’s blog three years ago, and I thought (and still think) Bergenline should eventually get a subway line. I bring this up because of a critical tie-in to Bergenline’s transit service: new mainline Hudson tunnels. If the new tunnels are built to host regional rather than intercity trains, then they should also make a stop at Bergenline to allow for easier transfers from the buses to Manhattan.
Unfortunately, there are no estimates of ridership on the Bergenline buses. The 2011 report did rough counts of passengers per hour passing through a single point, but that is not directly comparable to the usual metrics of ridership per day or per year. Moreover, the report assumed there are 16 passengers per jitney, where, at least in Cap’n Transit’s experience, the jitneys on Bergenline are considerably larger, in the 20-30 passenger range. Either way, they’re smaller than full-size buses, which means we can’t just compare the frequency on Bergenline with that on busy New York bus corridors. However, a bus in that size range almost every minute, both peak and off-peak, is bound to have comparable ridership to the busiest buses in New York: the single busiest, the M15, runs articulated buses every 3 minutes at the peak and every 4 off-peak.
There are several corridors heading into Manhattan. According to the summary on the report’s PDF-page 51, Bergenline has jitneys heading into Port Authority every 2-4 minutes at the peak, and New Jersey Transit buses (routes 156 and 159) every 5 minutes. Paralleling Bergenline, JFK Boulevard East has a jitney every 4-5 minutes (with larger vehicles than on Bergenline), and a New Jersey Transit bus almost every minute at the peak (route 128). There is also very frequent New Jersey Transit bus service, more than once per minute between routes 156, 159, and 166, running nonstop to Port Authority at the peak; unlike the jitneys, New Jersey Transit bus service is extremely peaky, with the combined routes 156 and 159 dropping to a bus every 15 minutes, and the Boulevard East routes (165, 166, 168) dropping to a bus every 9 minutes.
From the New Jersey Transit schedules, peak-hour buses spend 18-19 minutes getting into Port Authority from Bergenline, and 14 minutes getting into Port Authority from Boulevard East. In contrast, a train station located under Bergenline would have service to Penn Station taking about 3 minutes. Trains go through the existing older tunnel at about 100 km/h, and the new tunnel could support at least the same speed, while a through-running service plan would simplify the Penn Station interlockings enough that trains could enter and leave the station at speed. Even allowing for transfer time and for additional wait times, which are very short at the peak anyway, this represents an improvement of more than 10 minutes.
It goes without saying that the service should be frequent and affordable. The fare should be the same as on the subway, with free transfers. There’s some precedent in that PATH charges similar fares to the subway, but free transfers, a basic amenity in regions with integrated transportation planning, would be new to New York. At the peak, all trains would stop at Bergenline, since there’s not enough capacity to mix stopping and nonstop trains on the same tracks given expected traffic. But even off-peak, all trains should continue stopping at Bergenline – as well as at Secaucus – in order to maintain adequate frequency. Given how dense and close to Manhattan the area is, 10 minutes is the maximum acceptable headway, which corresponds to the combined off-peak frequency of all New Jersey Transit trains into Penn Station today.
While the busiest trunk line does not even enter Manhattan, the presence of fast, frequent regional rail with competitive fares is likely to change travel patterns. This is not the same as transit-oriented development: I am not assuming a single new building on top of the Palisades. Instead, some people who live and work in northern Hudson County would shift over time to working in New York, thanks to improved transportation links. In parallel, people working in New York would move to cheaper housing in Hudson County. In the other direction, companies that want to attract reverse commuters might locate to the area around the new station. The overall effect would integrate northern Hudson County into the core better, turning it into more of a bedroom community, like Brooklyn and Queens, while simultaneously concentrating its employment around the station. The upshot is that this station would already come equipped with a huge installed base of feeder buses, which run the route already without a connection to Manhattan. A longer-range plan to build a subway under Bergenline, from Fort Lee to Journal Square, would further integrate the entire west bank of the lower Hudson into the city core.
This tilts the best traffic plan for new tunnels away from Amtrak’s Gateway plan and back toward New Jersey Transit’s various flavors of ARC. First, it’s easier to build the station while the tunnel is excavated than to build the station in the preexisting tunnel. At the same time, whichever tunnel has the station should be the one without intercity trains: all peak trains would have to stop at the station for capacity reasons (there’s no room for bypass tracks), and this would slow down intercity trains unacceptably. Put together, this means Amtrak should stay in the old tunnels and all traffic in the new tunnels should be regional.
Second and more importantly, a high-grade new tunnel pair from New Jersey to Penn Station should also continue onward to Grand Central, with trains running through to Metro-North territory. The importance of through-running and good service to multiple urban nodes is greatest for local service and smallest for long-distance service. In Paris, the RER involves through-service for shorter-range commuter trains; the Transiliens, which terminate at the traditional terminal stations, serve farther-away suburbs. And in Tokyo, the local lines of the JR East network run through whereas the express lines either don’t or have only started doing so recently. The reason is similar to a pattern I mentioned before about airports: at long range, people only travel to the city for functions that their region lacks, and those are usually centered on the CBD, whereas at short range, people travel in all directions. The upshot of this discussion is that a Bergenline stop is likely to add many local travelers to the system, and they should get the service that’s more useful for their needs.
Of course, a good service plan will involve through-running in both the old and new tunnels. However, through-running is more valuable in the new tunnel, going to Grand Central, than in the old tunnel, going to Long Island and the Northeast Corridor. As a judgment call, I believe that through-running to Grand Central, Harlem, and the South Bronx connects to more neighborhoods than through-running to Sunnyside, Flushing, and Jamaica. It also has better subway connections, to the 4/5/6 if to nothing else, and local riders are accustomed to two-seat rides and subway connections. Finally, under a fuller regional rail plan, including service to Lower Manhattan, Grand Central has connections to Lower Manhattan and Downtown Brooklyn whereas Penn Station and Sunnyside don’t.
In contrast, Amtrak’s plan gets it exactly backward in proposing to use the Gateway tunnel for its own trains and some additional regional trains. The only advantage of this plan is that it would be possible for regional trains to maintain higher speed through the wider-diameter new tunnel (intercity trains could raise speeds more easily, since high-speed trains are pressurized to limit ear popping when they enter tunnels). But by hogging slots in the Penn Station-Grand Central tunnel, Amtrak would force many local and regional rail riders onto trains that do not serve their destination directly and do not have an easy transfer to it.
The only drawback of this plan is cost. The station would be located deep beneath the Palisades, complicating its construction. While the access shafts are not difficult – vertical bores for elevators are simply to build – the station itself would require blasting a cavern, or using a large-diameter bore. The cavern option is not cheap. I am not going to try coming up with a cost estimate, but I will note that the station caverns of Second Avenue Subway Phase 1, which are built cut-and-cover rather than blasted from inside, are around a billion dollars each. A large-diameter bore is more attractive, but is more expensive than twin small-diameter bores if there are no stations, and may well have difficulties emerging at the Manhattan end.
Without reliable estimates for either the incremental cost or the incremental ridership, I can’t say whether this is a cost-effective proposal. I suspect that it is, given the high ridership of the Bergenline buses and the high density of the region. Part of what makes an S-Bahn or RER system successful is its service to urban neighborhoods and not just suburbs and CBDs, and Bergenline could be a good addition to the system that the region should be building.
Last week, Bill de Blasio released a plan for New York’s future called OneNYC, whose section on subway expansion called for a subway under Utica Avenue in Brooklyn (PDF-pp. 45-46). The call was just a sentence, without mention of routing or cost or ridership projections, and no plan for funding. However, it remains a positive development; last year, I put the line at the top of a list of underrated subways in North America. Presumably the route would be a branch off the Eastern Parkway Line, carrying the 4, while the 3 continues to go to the current New Lots terminus.
The cost is up in the air, which means that people forming opinions about the idea don’t have the most important and variable number with which to make decisions. In this post, I am going to work out the range of cost figures that would make this a worthwhile project. This has two components: coming up with a quick-and-dirty ridership estimate, and arguing for a maximum acceptable cost per rider.
Before doing anything else, let us look at how much such a subway extension should cost, independently of ridership. Between Eastern Parkway and Kings Plaza, Utica is 6.8 km. The non-English-speaking first-world range is about $300 million to $3 billion, but around $1.4 billion, or $200 million/km, is average. Utica is a wide, relatively straight street, without difficult development alongside it. In fact, I’ve been convinced in comments that the line could be elevated nearly the entire way, south of Empire Boulevard, which would reduce costs even further. Normal cost should then be around $100 million per km (or $700 million), and even in New York, the JFK AirTrain came in at a $200 million/km. I doubt that an elevated solution could politically happen, but one should be investigated; nonetheless, a $1.4 billion subway would be of great benefit.
Now, let us look at ridership. Recall that Utica’s bus route, the B46, was New York’s third busiest in 2014, with 46,000 weekday riders. But two routes, Nostrand’s B44 and Flatbush’s B41, run parallel and provide similar service, and have 67,000 riders between them. Those numbers are all trending down, as residents gradually abandon slow bus service. A subway can realistically halt this decline and generate much more ridership, via higher speed: B46 limited buses average 13 km/h south of Eastern Parkway, but a new subway line could average around 35 km/h. Second Avenue Subway’s ridership projection is 500,000 per weekday, even though all north-south bus lines on Manhattan’s East Side combined, even ones on Fifth and Madison Avenues, total 156,000 daily riders.
Vancouver is considering replacing its busiest bus, the 99-B, with a subway. The 99-B itself has 54,000 weekday riders, the local buses on Broadway (the 9 and 14) have 43,000, and the 4th Avenue relief buses (the 4, 44, and 84) add another 27,000. Those are much faster buses than in New York: the 99-B averages 20 km/h, while the 44 and 84, running on less crowded 4th Avenue, average nearly 30 km/h west of Burrard. SkyTrain is faster than the New York subway since it makes fewer stops, so the overall effect would be similar, a doubling of travel speed, to about 40 km/h. The ridership projection is 250,000 per weekday in 2021, at opening, before rezoning (see PDF-p. 75 here). This represents a doubling of ridership over current bus ridership, even when the buses provide service SkyTrain won’t, including a one-seat ride from the Westside to Downtown and service along 4th Avenue.
In New York, as in Vancouver, the subway would provide service twice as fast as current buses. The distance between Nostrand and Utica Avenues is much greater than that between 4th Avenue and Broadway in Vancouver, so the analogy isn’t perfect (this is why I also support continuing Nostrand down to Sheepshead Bay). Conversely, the speed advantage of subways over buses is greater than in Vancouver. Moreover, Nostrand already has a subway, so actual demand in southeastern Brooklyn is more than what the B41, B44, and B46 represent. A doubling of ridership over bus ridership, to about 220,000, is reasonable.
For a quick sanity check, let us look at Nostrand Avenue Line ridership again. South of Franklin Avenue, the stations have a combined weekday ridership of 64,000 per weekday, as of 2014. But this is really closer to 128,000 daily riders, counting both boardings and alightings; presumably, few people ride internally to the Nostrand corridor. The Nostrand Avenue Line is 4.3 km long; scaled to length, we get 200,000 weekday riders on Utica.
Put together, a normal-cost Utica Line, with 200,000 weekday riders, would cost $7,000 per rider. This is quite low even by non-US standards, and is very low by US standards (Second Avenue Subway Phase 1 is about $23,000 according to projections, and is lower than most US rail lines).
As far as I’ve seen, from glancing at lines in large cities such as London, Paris, and Tokyo, the normal cost range for subways is $10,000-20,000 per rider. Paris is quite cheap, since its ridership per kilometer is so high while its cost per kilometer is not very high, keeping Metro extensions in the four figures (but Grand Paris Express, built in more suburban geography, is projected at $34 billion for 2 million daily passengers). Elsewhere in Europe, lines north of $20,000 are not outliers. If we set $25,000/rider as a reasonable limit – a limit which would eliminate all US rail lines other than Second Avenue Subway Phase 1, Houston’s light rail extensions, and Los Angeles’s Regional Connector – then Utica is worth $5 billion. A more generous limit, perhaps $40,000 per rider to allow for Second Avenue Subway Phase 2, would boost Utica to $8 billion, more than $1 billion per km. Even in the US, subways are rarely that expensive: the Bay Area’s lines are only about $500 million per km.
The importance of the above calculation is that it is quite possible that Utica will turn out to have a lower projected cost per rider than the next phase of Second Avenue Subway, a project for which there is nearly universal consensus in New York. The original cost projection for Second Avenue Subway’s second phase was $3.3 billion, but will have run over since (the projection for the first phase was $3.7 billion, but actual cost is nearly $5 billion); the ridership projection is 100,000 for each phase beyond the first, which is projected at 200,000. In such a situation, the line would be a great success for New York, purely on the strength of existing demand. I put Utica at the top of my list of underrated transit projects for a reason: the line’s worth is several times its cost assuming world-average per-km cost, and remains higher than the cost even at elevated American prices. The de Blasio administration is doing well to propose such a line, and it is nearly certain that costs will be such that good transit activists should support it.
Last post, I brought up the fact that the Cairo Metro is by a large margin the world’s busiest per unit of length, to explain why the government should prioritize investing in more subway lines. In comments, some people asked, or brought up information, about other systems’ comparable figures. Here is a table of some systems, including all the major ones. System length is given in kilometers, ridership is given in millions per year, and ridership per km is given in millions per km-year. I’ve tried to use as current data as possible, and to use official sources (or occasionally media sources) – in other words, the citations Wikipedia uses, and not Wikipedia itself.
Note that this not a complete table. I didn’t find annual data for many cities, such as Milan, Athens, and Vienna. For others I didn’t find data of any kind – Wikipedia sourced me to dead links. I also didn’t find any complete data – ridership and length – for any major commuter rail system, despite my desire to include the RER, S-Bahns, and Tokyo, Seoul, and London commuter rail networks. The North American data is lacking, which I blame on APTA’s use of unlinked trips as its main metric; in contrast, all ex-Soviet subways appear, since they’re in one consolidated source, which is why the smaller ones cluster at the bottom of the table, where they’d share room with many American and Western European systems I didn’t find information about. All subway systems down to half a billion annual riders are included.
|São Paulo Metro||74.8||895.6||11.97|
|Tokyo Metro + Toei||310.3||3255.7||10.49|
|Hong Kong MTR||174.7||1600 (122.7 Feb.)||9.16|
|Seoul subway lines 1-9||331.5||2619.5||7.9|
|Mexico City Metro||226.5||1684.9||7.44|
|Kolkata Metro||25.1||186.9 (140.2 Jan.-Sep.)||7.44|
|Osaka Municipal Subway||129.9||927.8 (2.542/day)||7.14|
|St. Petersburg Metro||113.5||758.6||6.68|
|Singapore MRT||148.9||921.6 (2.525/day)||6.19|
|Taipei Metro||129.2||684.8 (1.876/day)||5.3|
|Shanghai Metro||548||2712 (7.43/day)||4.95|
|Nagoya Municipal Subway||93.3||449 (1.23/day)||4.81|
|New York City Subway||373||1708||4.58|
|Barcelona Metro||102.6||373.5 (93.4 Jan.-Mar.)||3.64|
|Nizhny Novgorod Metro||18.8||40||2.13|
|Bilbao Metro||43.3||91.3 (22.8 Jan.-Mar.)||2.11|
|Madrid Metro||294||591.7 (147.9 Jan.-Mar.)||2.01|