Social and Behavioral Sciences Commons^™

Social-Transportation Analytic Toolbox (Stat) For Transit Networks, Xiaoyue Cathy Liu, Qian Zuo, Shenruoyang Na, Ran Wei, Aaron Golub, Liming Wang, Jake Davis

TREC Final Reports

This project builds an open-source, socio-transportation analytic (STAT) toolbox for public transit system planning in an effort to integrate social media and general transit feed specification (GTFS) data for transit agencies in evaluating and enhancing the performance of public transit systems. This toolbox is novel and essential to transit agencies in two aspects. First, it enables the integration, analysis and visualization of two major, new open transportation data, social media and GTFS data, to support transit decision-making. Second, it allows transit agencies to evaluate service network efficiency and access equity of transit systems in a cohesive manner, and identify areas …

Leveraging Twitter And Machine Learning For Real-Time Transit Network Evaluation, Xiaoyue Cathy Liu, Qian Zuo, Shenruoyang Na, Ran Wei, Aaron Golub, Liming Wang, Jake Davis

TREC Project Briefs

With today’s profusion of open data sources and real-time feeds, transit agencies have an unparalleled opportunity to leverage large amounts of data to improve transit service. Thanks to NITC researchers, there is now an open-source tool for that.

The new Social-Transportation Analytic Toolbox (STAT) for Transit Networks, developed by researchers at the University of Utah and Portland State University, 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. It can also act as a decision support …