The San Francisco County Transportation Authority (TA), the city's congestion management agency responsible for modeling transportation and development patterns, has released its new bicycle route data application, Cycle Tracks, for iPhones and GPS-enabled iTunes players at the iTunes store. Like similar applications that give information such as speed and distance traveled, users of the TA app can map their bicycle ride, but the data they collect will be aggregated anonymously in the TA's server so that it can be applied to their SF-CHAMP modeling and travel forecasting tool.
"This app will help the cycling community help itself," TA Executive Director José Luis Moscovich said in a statement. "The data they log will contribute to better planning of bicycle facilities, and they'll also have a record of their personal cycling history. I'm sure it will be very popular."
Billy Charleton, Deputy Director for Technology Services at the TA, explained that SF-CHAMP doesn't currently have concise and reliable trip data for cyclists, but that they rely on static counts at various intersections conducted once or twice a year. Without understanding the entire length of a trip, nor the trip purpose, the agency is unable to analyze what cyclists prefer in terms of street characteristics, including
average auto speed, presence of on-street parking, medians, slope,
number of lanes and existence of bicycle facilities.
"What we have are counts at individual intersections, peak hour in the mid-day. We have lots of hunches on these things, but we don't really have any information on the paths and routes through the city that cyclists prefer," said Charleton. "The bicycle plan was done with basic counts... educated guesses and opinions on what cyclists prefer."
Charleton said the data collected will put San Francisco in the forefront of modeling in the U.S. "One of our hopes is that this helps put some data behind new infrastructure going forward," said Charleton. "If we see in the data lots of people bicycling on streets without
facilities it will help us identify what streets cyclists are using and
we can look at the characteristics of those streets to understand why
people are biking there instead of somewhere else."
Users of the application can enter as much or as little demographic information as they prefer, though the TA would obviously prefer as much detail as they can get. After the user finishes a ride and saves the data, the information is stored anonymously on the TA's servers and compiled with the extensive data they have on car and transit trips. In theory, the program can also be used to enhance pedestrian modeling.
"San Francisco hasn't done a much better job than any other city or
county in America for measuring bicycle movement and patterns," said San Francisco Bicycle Coalition (SFBC) Program Director Andy Thornley. "Until
now, what we've had for data collection is one or two times a
year standing at 32 intersections and counting cyclists. It's going to
be a huge jump forward."
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