GTFS for Estimating Transit Ridership and Supporting Multimodal Performance Measures

Fisher, Frances; Nash, Logan; Baker, Gary; Teicher, Paul; Zitzow-Childs, Stephen; Oberg, Alex; Vinella-Brusher, Emma; Burkman, Eric

i

GTFS for Estimating Transit Ridership and Supporting Multimodal Performance Measures

2017-12-15
By Fisher, Frances ; Nash, Logan ; Baker, Gary

File Language:

English

[PDF - 17.19 MB]

Details

Creators:

Fisher, Frances ; Nash, Logan ; Baker, Gary ; Teicher, Paul ; Zitzow-Childs, Stephen ; Oberg, Alex ; Vinella-Brusher, Emma ; Burkman, Eric
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. Office of the Under Secretary for Policy
Subject/TRT Terms:
Publication/ Report Number:

DOT-VNTSC-OSTR-17-03
Resource Type:

Tech Report
Geographical Coverage:

Minneapolis (Minnesota);United States
Edition:

Final report; 2016-2017; 15-12-2017
Corporate Publisher:

John A. Volpe National Transportation Systems Center (U.S.)
Abstract:

This project demonstrates a potential avenue to use new data sources to support State and local agencies in measuring the use and effectiveness of their public transportation systems. General Transit Feed Specification (GTFS) data provided by transit agencies only contain schedule data and are primarily intended for use in rider planning apps like Google Maps or the Transit App. But DOT’s recent creation of the National Transit Map to aggregate these feeds at a national scale provides opportunities to integrate GTFS data with AADT and demographic predictors of ridership. This project explores how this existing national transit dataset can be used to help State and local agencies estimate segment-level ridership and generate performance data useful for multimodal planning. The tools developed in this project are able to compare vehicle traffic to estimated or measured transit ridership along the same road. All of the multimodal measures developed in this project can be calculated using measured ridership data for agencies that have it, or modeled ridership for agencies that do not.
Format:

PDF
Funding:

OS43A1/QC228
Download URL:

https://rosap.ntl.bts.gov/view/dot/34279/dot_34279_DS1.pdf
File Type:

[PDF - 17.19 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha-512:121f4e0c010309b10c241ca536c6566850f226d224975d19e4c2b24a6ab41e117a8c8fa6b4d95559ce5ba2eb0eaf37f9d7034e0be12b1f0fc8d5983ef4619859

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.