Open Transportation Data in NY


As part of the Open Transportation Data Meetup, we’ve created a Google Doc to centralize all available transportation data for the NY region in one place. The document is publicly editable and ready to be populated and discussed (wishlist items accepted as well). Check it out here: https://docs.google.com/spreadsheet/ccc?key=0AoNd04_Ge-SpdGFwSWtpa0F1ZGVzS19oZGxNektSVnc&usp=sharing

Your contributions and suggestions are welcome!

Smart Transportation and Sustainability


Rudin Research Associate Sarah Kaufman spoke at yesterday’s Transportation Equity Conference in Albany to discuss the role of smart transportation in environmental sustainability. The topic is more complex than it seems: as driving becomes easier with tools like autonomous cars, traffic sensing and self-aware parking spots, how can we continue to reduce car use, a major source of greenhouse gas emissions? In the United States, commutes are growing ever-longer, as the NYU Rudin Center showed with our Super-Commuter report last year: fast-growing numbers of Americans are traveling more than 90 minutes or 90 miles each way, usually by car.

We can use technology to make transit more enticing:

- Open data lets travelers see schedules before they reach a station

- Social media informs them of delays, so they can re-route

- Open source planning tools, like NYC DOT’s Fourth Avenue project, give travelers a say in future developments

- Advanced fare payment systems, like MBTA’s mobile payments, make it easy to board even when the right fare is unavailable

– Walkability measures, like those provided by Walkscore, allow us to choose our housing locations by the ability to run errands on foot or use transit for a commute, saving money and waistlines.

These are just some basic tools to make transit a more pleasurable and efficient experience (several, like augmented reality, are on the horizon, and will shift our mobility patterns even further). For environmental and economic needs, these foundational technologies must be in place to bring riders over to transit and mitigate automobile dependence.

Event Recap: NY Open Transportation Data Meetup


Last night, the NYU Rudin Center co-organized the kickoff meeting of the NY Open Transportation Data Meetup group, with Noel Hidalgo of Code for America and Cate Contino of Straphangers Campaign. The event was held at the great ThoughtWorks space. Presentations by Neil Freeman of NYC DOT and Mike Frumin of MTA showed the variety of data sets currently available.

The event also featured community announcements by NYU Wagner students promoting an upcoming design challenge surrounding Chinatown Bus regulations, Frank Hebbert of OpenPlans showcasing the IfWeKnew tool, and the Permanent Citizens Advisory Committee to the MTA previewing its upcoming report on data visualizations.

The group also discussed its wishlist for future data sets and projects, which will be posted on the group’s site shortly.

Hope to see you at the next event!

Tomorrow night: Kickoff meeting of Open Transportation Data Meetup


Tomorrow night, join the NYU Rudin Center, Code for America and the Straphangers Campaign to discover and discuss open transportation data in the New York City region. We’ll have presentations from MTA and NYC DOT, plus an open mike session.

The event is free and open to all. Sign up here: http://www.meetup.com/NYOpenTransport/events/102323472/

Manhattan Commuting Trends: An In-Depth Look


Carson Qing

Earlier this week, we discussed the unique patterns of employment “re-centralization” that the New York City metropolitan area experienced over the past decade. Now, we focus on the region’s core, Manhattan, and where its commuters are coming from. A detailed analysis, building on last year’s report describing trends in commuting among Manhattan’s workforce, reveals that most of the growth in Manhattan commuting has originated from waterfront neighborhoods in Jersey City, Hoboken, and Brooklyn, areas that experienced significant high-density residential development in recent years.

Using the Longitudinal Employer-Household Dynamics dataset from the U.S. Census Bureau, I identified specific towns and neighborhoods (defined as ZIP codes) that have the greatest increase in commuters to Manhattan. The interactive map below shows areas of residence with growth and declines in Manhattan commuters from 2002 to 2010 in absolute numbers. Zip codes shaded as blue represent a decrease or no difference in commuters to Manhattan. Darker shades of red indicate greater increases in commuters to Manhattan from that zip code. Click around to see the figures at a neighborhood level.

These numbers indicate substantial increases in Manhattan work trips originating from Northern Brooklyn, Western Queens, Jersey City and Hoboken, the South Bronx and Staten Island. The five neighborhoods with the greatest increase in Manhattan commuters were Williamsburg (+5,405), the Paulus Hook section of Jersey City (+4,262), Downtown Brooklyn (+3,598), Williamsburg/Bedford-Stuyvesant (+3,373), and Greenpoint (+3,139), all consisting of neighborhoods situated along either the Hudson or East River waterfronts. Areas that saw declines in commuters to Manhattan were largely in the northern and eastern suburbs, consisting of neighborhoods in eastern Queens and Westchester, Rockland, and Nassau counties.

High-density residential developments along the waterfronts in New Jersey, Brooklyn and Queens, paired with the expected increase in Manhattan-bound commutes from those neighborhoods, indicate that there are significant opportunities for expansion in ferry services in New York City. The East River Ferry that connects the neighborhoods of Downtown Brooklyn/DUMBO, Williamsburg, Greenpoint and Long Island City with the Midtown East and Lower Manhattan business districts has been far more successful than originally anticipated during the first year of its 3-year pilot service, carrying more than 1.6 million passengers (300,000 more than expected). A long-term extension and expansion of ferry services on the East River should be strongly considered as a strategy to relieve rush hour crowding on subway lines such as the L and 7 lines and provide a more convenient travel alternative.

The growth in Manhattan commuting to from the west in suburban New Jersey is not limited to communities with “one-seat” rides into Manhattan where no transfers are required to get in. Communities in Bergen and Passaic Counties along the Main-Bergen and the Pascack Valley rail lines, where Manhattan-bound rail trips require transfers at either Secaucus Junction or Hoboken to enter Manhattan, have also seen significant increases in commuters to Manhattan: these include towns such as Fair Lawn (+39% increase), Paramus (+30%), and Lodi (+47%). Workers traveling to Manhattan from those areas are much more dependent on the regional express bus system operated by NJ Transit and private companies to commute into Manhattan, and will continue to be dependent due to the cancellation of the Access to the Region’s Core (ARC) rail infrastructure project in 2010. Making the region’s system of commuter buses run more efficiently, whether by creating additional capacity at the Port Authority Bus Terminal or providing an express bus lane in the Lincoln Tunnel during evening rush hour, should help accommodate this growth in commuters from suburban New Jersey and sustain the region’s economic productivity and competitiveness in the 21st century.

 

News at the Rudin Center


The NYU Rudin Center staff has been busy:

Rudin Center Director Mitchell Moss discussed the making of Hipsturbia and organic dry cleaners as indicators of gentrification in The New York Times.

Research Associate Sarah Kaufman will present the Rudin Center’s report on Superstorm Sandy at the Transportation Equity Conference in Albany on March 4th.

Research Assistant Carson Qing‘s study of Williamsburg’s late night rush hour has been featured in the Brooklyn Paper and The L Magazine. His newest post on location of employment in major U.S. is now on the blog.

We’re proud to bring on Anthony Townsend as Senior Research Fellow. Here’s a look at the work he’ll be doing at the Rudin Center:

Anthony Townsend is organizing several upcoming workshops that will further the Rudin Center’s investigations into emerging areas of transportation policy, planning and management – resilient regional transportation infrastructure for the Northeast Corridor, future tools and techniques for studying bicycle ownership and use in New York City, the role of big data and pedestrians, and future mobility systems in digitally-connected cities. Through his affiliation with the Silicon Valley-based Institute for the Future, Anthony is conducting a year-long forecast on the future of makers and small-scale manufacturing in cities around the world. His first book, SMART CITIES: Big Data, Civic Hackers and the Quest for a New Utopia will be published in October 2013 by W.W. Norton & Co.

 

Finally, some of our research staff attended the State of the City address at Barclays Center. Here’s a photo:

 

Be sure to follow us on Twitter and Facebook for regular updates.

The State of Employment Decentralization in Major American Cities


Carson Qing

Since the mid-20th century, employers have followed its employees to the suburbs, and have adapted the workplace to fit their employees’ commuting needs, leading to the rise of the “corporate park” and the “edge city.” Some scholars have observed that in the 2000s, a dramatic shift has occurred as cities were again attracting the jobs that left in earlier decades, as employers respond to changing preferences among younger workers who desire a more urban lifestyle. Others contend that such a conclusion is premature, and that employment decentralization, also known as “job sprawl,” still occurs, as there is still high demand for suburban living. Using data on private sector employment from the Census Bureau’s Local Employment Dynamics, I tried to determine if the pattern of employment distribution across metropolitan areas had truly shifted in the past decade, and based on my findings, it seems that job distribution and movement vary by region, although generally, the trends remain slightly in favor of continued employment decentralization in major U.S. metro regions.

Metro regions with an increase in the share of its workforce employed clustered within 5 miles of the Central Business District were:

  1. San Francisco: +1.5%
  2. New York: +1.3%
  3. Detroit: +0.8%
  4. Chicago +0.2%
  5. Philadelphia +0.1%

The above cities are all older designs, where most development occurred early in the 20th century, in the pre-automobile era. Metro regions with the greatest increase in the share of its workforce employed within 20 – 50 miles of the CBD (or, “job sprawl” tendencies), were:

  1. Atlanta: +4.5%
  2. Dallas: +2.9%
  3. Houston: +2.6%

These cities are generally sprawling, Sun Belt areas that have experienced much of its growth during the late 20th century. After accounting for job trends based on distances from each region’s CBD, I observed the following patterns of employment growth (see methodology below for more detail):

Jobs in New York and San Francisco are increasingly concentrated in their urban core. In these cities, employment is no longer de-centralizing, but is re-centralizing. Both cities have a dense and diverse urban core that offer distinctive amenities and advantages for workers and employers, which could be a major driver of these recent trends.

A group of cities had an increasing share of jobs in both its urban core and its exurban fringes, but a smaller share in the “core-periphery” area: the peripheral areas of the primary city, and inner-ring suburbs that border the city. These cities exhibit a “U-shaped” relationship between the increase in the share of jobs in a given zone and the distance from the center city. One-third of the metro areas sampled exhibited this spatial pattern of job growth, including Chicago, Philadelphia, Atlanta, Detroit, and St. Louis.

In Houston and Dallas, employment decentralization has been sustained. Areas further from the city are capturing a greater share of the region’s jobs. This trend resembles the traditional pattern of late-20th century employment decentralization.

In general, employment decentralization has been sustained in the largest metro regions in the United States since 2002, but mostly at the expense of the “in-between” zones situated within 5 to 10 miles of the CBD, rather than the CBD itself. These generalized job growth trends show that the past decade was a period of deepening spatial divisions within U.S. cities. Overall, diverging demographic preferences and market forces are leading to an unconventional pattern of employment distribution, one that places the high-density urban core and the low-density suburban fringes at a distinct advantage over the medium-density urban periphery and inner-ring suburbs, locations that typically do not offer the agglomeration advantages of the central city, nor the accessibility advantages of the exurban fringes.

 

Methodology:

This analysis divided the 15 largest metro regions (defined as all census tracts within 50 miles of the primary city’s CBD) into 4 zones of analysis, based on distance from the city center. After calculating job growth for each of the zones and for each metro region, the data was smoothed to reflect a “best-fit” trendline. A composite average of the job growth data was also obtained and fitted to a trendline (highlighted by the red curve above). The composite average trend indicates that regional trends generally favor sustained employment decentralization, but there are distinctive variations across metro regions and the spatial patterns are more complex than anticipated.

The fitted trendlines of New York and San Francisco are negatively sloped (highlighted in yellow), which indicates that recent job growth and distance from the city center appear to be inversely related and have a highly linear pattern.

The fitted trendlines of Houston and Dallas are positively sloped (highlighted in blue), indicating that areas further from the city are capturing a greater share of the region’s jobs.

Rush Hour in Williamsburg…at 1 AM


By Carson Qing

Last September, one of our research assistants at the NYU Rudin Center, Nolan Levenson, took an interesting picture at the Bedford Avenue subway station in Williamsburg, Brooklyn (right). The subway platform was filled to capacity with straphangers, but what makes the photo interesting is that the image was captured in the wee hours of a Sunday morning, at 1:30 AM. There has been much discussion, and subsequent action, over the issue of providing more L-train service on the weekends to better serve this ridership growth, but the image of a subway platform filled to near capacity at 1:30 AM on a Sunday morning, when Manhattan-bound trains run on 20 minute headways, raises some interesting questions about travel characteristics along this particular subway line.
Since 2005, ridership on the L train has soared, with every station in Brooklyn posting double digit growth rates in ridership on weekdays (with the exception of Broadway Junction). On weekends, ridership by station has grown at even faster rates: tripling or even quadrupling the ridership growth on an average weekday for a given station. The Morgan Avenue station in Bushwick had the greatest ridership growth on both weekdays (+59%) and weekends (+174%) of all L-train stops in Brooklyn from 2005 to 2010. The Bedford Avenue station in Williamsburg had the greatest absolute increase in average weekday ridership (+5,867) and average Saturday ridership (+9,236) from 2005 to 2010. The two maps below compare ridership growth on an average weekday (left) and on average weekend (right) for all L-train stations in Brooklyn, from 2005 to 2010.

 

To examine these weekend ridership trends in more detail, I used the MTA’s turnstile data and took a sample of a turnstile at the Bedford Avenue station over one week in August 2012 to identify trends in peak hours of subway ridership, and what could be driving these patterns in weekend ridership. I classified both entries and exits into the Bedford Avenue station and identified “peak hours” in subway ridership, which were hourly intervals that were in the top 25% of all intervals in the sample data in total entries or exits into the station. The results are summarized in the chart below (note: data is only for a single turnstile, and is only meant to illustrate ridership trends):

What’s remarkable about this case study for Bedford Avenue is that not only are there ridership peaks for long durations on Saturday (8 am to 4 am Sunday) and Sunday (8 am to 8 pm), but entry/exit figures are actually comparable to morning and evening rush hours during the work week: thus, growth in weekend ridership at Bedford Avenue has increased so much that it may very well have resulted in an “extended rush hour” for almost the entire weekend.

Even more remarkable is that the peak entry hours on Saturday night actually extend into the wee hours of Sunday morning for the sampled data, suggesting that the crowded subway platform at 1:30 AM might in fact be quite a common occurrence. Given recent, dramatic changes in demographics and land use patterns in Williamsburg, these unusual peak hour trip patterns should be expected. Not only has there been a well-documented influx in 25-to-34 year olds in Williamsburg (25% of the population, compared to 17% in 2006, according to census data), but there has also been a significant growth in restaurants and bars that are open late on weekends and draw young New Yorkers from across the city to the neighborhood (117% increase in full service restaurants and 59% increase in bars since 2005, according to census business data). The peak entry hours from 12 am to 4 am on a Sunday morning should be expected given the context of how Williamsburg has changed dramatically in just a few short years, as many of the restaurant and bar patrons are likely contributing to this peak period of subway ridership during these late night hours.

These trends reveal that due to the growth in weekend ridership on the L-train, conventional assumptions of travel demand for this particular subway line may no longer be appropriate, and may require some adjustments in service offerings during weekend evenings, late nights, and other times of day. According to subway schedules, the MTA currently runs roughly 43 Manhattan-bound trains on the L during a weekday morning rush hour (8 am-12 pm) and 48 Manhattan-bound trains during Saturday afternoon (4 pm-8 pm), falling to roughly 32 on Saturday night (8 pm -12 am) and 13 during weekend late-night hours (12am-4 am Sunday). With only 13 trains during one of the busiest travel periods of the entire week, crowded platforms at Bedford Avenue and nearby stations during late Saturday nights/early Sunday mornings will likely be commonplace going forward.

The growth in weekend ridership on the L-train in Brooklyn and peak travel demand during unconventional hours show how as cities and neighborhoods evolve, traditional assumptions of “rush hour” travel will inevitably change. Transportation providers should be flexible and adaptable to recognize these anomalies, rather than assume that travel characteristics are uniform system-wide, and respond by offering level of services that are appropriate given these unique patterns in peak travel demand.

Have you taken the L from Bedford Avenue during late night hours on the weekend? Are weekend, late night hours in Williamsburg comparable to weekday morning “rush hours?” Please share your experiences in the comments below.

Social Media in Disasters: TRB presentation


We’ve posted Sarah Kaufman’s presentation on “Social Media in Disaster Preparation, Response and Recovery” from the Transportation Research Board Annual Meeting on Slideshare. View below:

We’ll have a report on the same topic coming out in the next couple of months; please let us know if you have experiences to share on this subject.
Photo: Leah Flax