Improving the Quality and Cost effectiveness of Multimodal Travel Behavior Data Collection
Principal Investigator:
Sean J. Barbeau Ph.D
Summary:
The objectives of this project are to improve multimodal infrastructure planning and transit service quality by increasing the cost-effectiveness and quality of data from all modes of transportation, including transit, bike, walk, transportation network companies (TNCs), for example Uber and Lyft)), carshare, and bikeshare. This objective is accomplished via the development of a plugin for the OneBusAway mobile app to collect travel data including origin/destination, transfers, trip travel path, and travel time data.
The tool can immediately leverage the huge existing user base of OneBusAway (OBA) instead of trying to create a new user base specifically for a dedicated travel behavior data collection app. Key objectives are as follows:
- Reduce data collection cost per completed trip based the cost of existing data collection efforts used by transit agencies, metropolitan planning organizations (MPOs), and Florida Department of Transportation (FDOT); and
- Collect travel behavior data from 500 OBA users that opt-in to detailed tracking using OBA- TRACIT.
| Grant | DTRT13-G-UTC56 |
| USF # | 79063-19 |
| Funding Amount | $147,000 |
| Project Start Date | 1/1/18 |
| Expected Date of Completion | 12/31/18 |
| Sponsor Organization | Center for Urban Transportation Research- National Center for Transit Research |
| Sponsor Organization | Office of the Assistant Secretary for Research and Technology- University Transportation Centers Program -Department of Transportation |
| Project Manager | Robert L. Bertini Ph.D |
| Principal Investigator | Sean J. Barbeau Ph.D |
