GTFS-Ride: Unifying Standard for Fixed-Route Ridership Data

Author:

Carleton Phillip1,Hoover Sylvan1,Fields Ben1,Barnes Matthew2,Porter J. David1

Affiliation:

1. School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR

2. Oregon Department of Transportation, Rail & Public Transit Division, Salem, OR

Abstract

The rapid growth in the availability and utility of vast amounts of digital data is arguably one of the most significant technological developments in recent years. In public transit, many agencies utilize modern technologies to collect large amounts of data, whereas smaller agencies with fewer resources and less expertise still use more traditional, manual data collection methods. Regardless of their technological capabilities, transit agencies recognize that some amount of transit data is useful and required. To the best of our knowledge, no standard data description of detailed fixed-route ridership exists today in the United States, forcing transit agencies to develop their own system of collecting, storing, and analyzing ridership and related data. In response to this need, this research aimed at developing one of the first public transit ridership data standards for fixed-route services and to support and promote its adoption and use. The resulting standard, an extension to the General Transit Feed Specification (GTFS) data standard, is referred to as GTFS-ride. GTFS-ride is easy to understand, able to accommodate the complexities of larger transit agencies, and capable of establishing a strong connection to the state of a transit network as it existed when the ridership data was collected. The first complete draft of GTFS-ride was released on September 6, 2017. This paper explains the structure of the five files that compose GTFS-ride, introduces additional support elements developed to facilitate its promotion and adoption, and documents the lessons learned from pilot implementations of GTFS-ride at three Oregon public transit agencies.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Systematic Analysis of Public Transit Data Availability in Canada;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

2. Using General Transit Feed Specification-Ride to Identify Riders’ Use of Transfer Opportunities;Transportation Research Record: Journal of the Transportation Research Board;2022-02-01

3. Cross-checking Automated Passenger Counts for Ridership Analysis;J PUBLIC TRANSPORT;2021

4. The impacts of COVID-19 pandemic on public transit demand in the United States;PLOS ONE;2020-11-18

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