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Social-Transportation Analytic Toolbox (STAT) for Transit Networks
Principal Investigator:
Xiaoyue Cathy Liu, University of Utah
Co-Investigators:
- Ran Wei, University of California, Riverside
- Aaron Golub, Portland State University
- Liming Wang, Portland State University
Summary:
The new Social-Transportation Analytic Toolbox (STAT) for Transit Networks, developed by NITC researchers in a multi-university collaboration, is a dynamic platform that combines Twitter, general transit feed specification (GTFS), and census transportation planning products (CTPP)—in this case, job density data—to help agencies evaluate overall system performance and identify connectivity gaps. I...
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Project Details
| Project Type: | Research |
|---|---|
| Project Status: | Completed |
| End Date: | June 15, 2019 |
| UTC Funding: | $175,000 |
Downloadable Products
- Leveraging Twitter and Machine Learning for Real-Time Transit Network Evaluation (PROJECT_BRIEF)
- Social-Transportation Analytic Toolbox (STAT) for Transit Networks (FINAL_REPORT)
Other Products
- Social-Transportation Analytic Toolbox (STAT) (WEBSITE)
- Chen Z, Liu XC, Wei R. Agent-based approach to analyzing the effects of dynamic ridesharing in a multimodal network. Computers, Environment and Urban Systems. 2019 Mar 1;74:126-35. (PUBLICATION)
- Dai Z, Liu XC, Chen Z, Guo R, Ma X. A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach. Transportation Research Part B: Methodological. 2019 Jul 1;125:29-51. (PUBLICATION)
- Social-Transportation Analytic Toolbox (STAT) for Transit Networks (PRESENTATION)
- Haghighi, N. N., Liu, X. C., Wei, R., Li, W. W., & Shao, H. (2018). Using Twitter data for transit performance assessment: a framework for evaluating transit riders' opinions about quality of service. Public Transport, 10(2), 363-377. (PUBLICATION)