Details:

Creators:
Barbeau, Sean J. ; Cetin, Cagri
Barbeau, Sean J. ; Cetin, Cagri Less -
Corporate Creators:
University of South Florida. Center for Urban Transportation Research
Corporate Contributors:
National Institute for Transportation and Communities (NITC)
Subject/TRT Terms:
[+]
Bicycle Facilities Cities Crowdsourcing Data Collection Mobile Applications Travel Behavior
Publication/ Report Number:
NITCN-RR-857
Resource Type:
Tech Report
Geographical Coverage:
United States ; San Francisco (California) ; Atlanta (Georgia) ; Portland (Oregon)
United States ; San Francisco (California) ; Atlanta (Georgia) ; Portland (Oregon) Less -
Edition:
Final report
Corporate Publisher:
National Institute for Transportation and Communities (NITC)
Abstract:
Cities such as San Francisco, Atlanta, and Portland are using novel methods of data collection to learn more about the use of their bicycle

infrastructure. These data can help transportation planners better design or upgrade bicycle facilities. San Francisco created an open-source

project, Cycle Tracks, a mobile app used to collect bike path data from bicyclists’ smartphones. These data then were used in the SF-CHAMP

travel demand model to forecast how attractive Bike Facility A would be compared to Bike Facility B to understand the potential mode shifts

that could occur with implementation of bike infrastructure, and to better understand the impact of new SF bike infrastructure on bicyclist travel

behavior. A similar project, Cycle Atlanta, was implemented in Atlanta, GA, and was based on the Cycle Tracks open-source code, as was

ORcycle for Portland, OR. These methods of gathering data from the public via mobile apps are referred to as “crowd-sourcing.”

Whereas open-source crowd-sourcing mobile apps can provide a wealth of information to transportation planners, there is at least one major

obstacle to deploying these projects in new cities: software engineers for iOS and Android must modify and re-deploy these apps for each city.

As a result, deploying these apps in new cities can be very costly, which limits adoption and removes opportunities for innovation based on data

collected from such apps.

This project takes the first steps towards helping to overcome the barriers to wide-scale adoption of bike data crowd-sourcing mobile apps by

creating a proof-of-concept “multi-region” architecture, allowing cities to share the same set of mobile apps on the Android and iOS apps stores

while setting up their own server specific to their geographic area. This solution can reduce the cost of deployment by leveraging the mobile

apps that already exist, rather than each city needing to modify and launch its own version of the apps. Future work should focus on developing

a brand identity of these multi-region apps, including a possible partnership with existing organizations that have deployed existing apps (e.g.,

Georgia Tech for Cycle Atlanta, San Francisco County Transportation Authority for Cycle Tracks) to further test and release the multi-region

improvements as updates to their existing applications. Use of the standardized Open311 format to report issues can also be examined, along

with leveraging other open-source transportation applications such as OneBusAway to give users additional incentive and value to continue to

contribute trip data.


Format:
PDF
Collection(s):
US Transportation Collection University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:fe4ceb6c6a5a2703013b00f662fad0c53408b73ac5743f13fce6b288ccc23904
Download URL:
https://rosap.ntl.bts.gov/view/dot/32298/dot_32298_DS1.pdf
File Type:

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