A Novel Approach for Transforming Bus Service Planning Using Integrated Electronic AFC & AVL Data at MTA in New York City
The installation of an Automated Vehicle Location (AVL) system alongside existing Automated Fare Collection (AFC) data on all New York City buses spurred development of a city-wide bus passenger boarding and alighting ridership model at MTA in New York City. These advances in ridership modeling allowed for analysis of trip passenger loads and 100% passenger origin-destination data at both route and neighborhood level on single-mode and intermodal trips. Analysis techniques that relied solely on professional judgement due to lack of available data are now being replaced by more sophisticated statistical techniques. This paper describes two case studies and the resulting service planning potential from having access to fully integrated, rich, big data sources. One describes the first neighborhood-wide analysis of performance, ridership, and running times based on 100% electronic data in Co-op City, Bronx. Detailed data allowed planners to pinpoint very specific, low-cost reroutes and stop changes to impact and better serve hundreds of riders daily. The second case study describes the identification of a long route in Manhattan with poor performance and determination of optimal route split location minimizing passenger impact by using modeled route-level origin-destination (O-D) data. Performance and running time data on the original and surrounding routes were used to determine an expectation for performance and running times on the new routes. In both examples, new data sources allowed for novel analysis throughout the entire planning process, beginning with problem investigation through forecasting ridership and cost impacts of proposed service adjustments.
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Supplemental Notes:
- This paper was sponsored by TRB committee AP000 Public Transportation Group. Alternate title: Novel Approach for Transforming Bus Service Planning Using Integrated Electronic Automated Fare Collection and Automated Vehicle Location Data at MTA in New York City.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Hanft, Jeffrey
- Iyer, Shrisan
- Levine, Brian
- Reddy, Alla
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References;
- Pagination: 17p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Automatic fare collection; Automatic vehicle location; Bus transit; Case studies; Data analysis; Origin and destination; Performance measurement; Ridership; Routes and routing; Running time; Transportation planning
- Geographic Terms: New York (New York)
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01589126
- Record Type: Publication
- Report/Paper Numbers: 16-0148
- Files: TRIS, TRB, ATRI
- Created Date: Feb 1 2016 9:27AM