Upcoming events at the NYU Rudin Center


Please join the NYU Rudin Center on the evening of November 4th for our next edition of Short Talks, Big Ideas, showcasing innovative work and ideas at the frontier of transportation innovation. Free registration is now open: http://wagner.nyu.edu/events/rudin-11-04-2013

We’ll cover streets, bikes, transit, dollar vans, data, wi-fi, photography, and more. #BigIdeas13
Also, we’re co-hosting the November 19th event “Closing the Enforcement Gap to Save Lives on NYC Streets” with Transportation Alternatives. Register here:

https://secure3.convio.net/ta/site/SSurvey;jsessionid=99462DC93AA291251B5950A7105F2B2D.app365b?ACTION_REQUIRED=URI_ACTION_USER_REQUESTS&SURVEY_ID=6420&pw_id=2441&autologin=true

 

Hope to see you in November!

Tracking Your Car Travel Patterns?


Ever wonder which streets have the slowest car traffic? What your average driving speed is? Where you brake the most? New data may help us find that out. The Wall Street Journal recently reported that The New York City Department of Transportation recently received a grant from the Federal Highway Administration to launch a program that monitors 500 cars with transponders around the city. Data will be available through apps to both car users and the city DOT. Participants in the program will receive a discount on their car insurance, and the city will have more data about car travel. Our own Sarah Kaufman was quoted talking about the potential pros and cons of the program.

Pedicabs in New York City


 

Pedicabs are an increasingly popular mode of tourist travel in New York City. After a series of scams involving the use of the app “Square,” lawmakers have increased regulations on drivers and companies, who are licensed through the City’s Department of Consumer Affairs (DCA). The DCA instituted new regulations about pricing and signage, effective on July 12. Instead of arbitrarily negotiated fares and rates, standard rates are determined by timers. Pedicabs must have clear signage indicating the prices. This will have a large impact on the industry, which has 1,461 licensed drivers and 201 licensed companies (NYC Open Data, DCA).

The data allows us to see who is licensed and their zip code, which for this study is assumed to be their place of residence. There appears to be a large concentration of pedicab drivers from Southern Brooklyn, particularly Sheepshead Bay and Brighton Beach. There are also many drivers in Upper Manhattan, the South Bronx, and Western Queens.  The following table shows the neighborhoods with the most pedicab drivers:

ZIP Code Neighborhood Count
11235 Sheepshead Bay / Brighton Beach / Manhattan Beach 126
11230 Midwood 71
11229 Kensington 67
11214 Bensonhurst 57
11204 Bensonhurst 44
11377 Woodside 37
10456 Claremont 36
11219 Borough Park 35
10031 Hamilton Heights 34
11373 Elmhurst 31

 

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!

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!