Using Smart Card Fare Payment Data To Analyze Multi-Modal Public Transport Journeys in London
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Wilson_Using Smart.pdf
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Author(s)
Seaborn, Catherine
Attanucci, John P.
Wilson, Nigel H. M.
Alternative Title
Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data
Date Issued
December 2009
Journal
Transportation Research Record
Publisher
Transportation Research Board of the National Academies
Citation
Seaborn, Catherine, John Attanucci, and Nigel H. M. Wilson. “Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data.” Transportation Research Record: Journal of the Transportation Research Board 2121.-1 (2009): 55–62.
Version
Author's final manuscript
Abstract
This paper contributes to the emerging literature on the application of smart card fare payment data to public transportation planning. The research objective is to identify and assess complete, multimodal journeys using Oyster smart card fare payment data in London. Three transfer combinations (bus-to-Underground, Underground-to-bus, and bus-to-bus) are considered to formulate recommendations for maximum elapsed time thresholds to identify transfers between journey stages for each passenger on the London network. Recommended elapsed time thresholds for identifying transfers are 20 min for Underground-to-bus, 35 min for bus-to-Underground, and 45 min for bus-to-bus, but a range of values that account for variability across the network are also assessed. Key findings about bus and Underground travel in London include an average of 2.3 daily public transportation journeys per passenger, 1.3 journey stages per public transportation journey, and 23% of Underground journeys involving a transfer to or from a bus. The application of complete journey data to bus network planning is used to illustrate the value of new information that would be available to network planners through the use of smart card fare payment data.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.3141/2121-06
