Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data
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.
- Record URL:
- Summary URL:
-
Availability:
- Find a library where document is available. Order URL: http://trb.org/Main/Blurbs/Data_Systems_and_Travel_Survey_Methods_2009_162816.asp
-
Authors:
- Seaborn, Catherine
- Attanucci, John
- Wilson, Nigel H M
- Publication Date: 2009
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 55-62
- Monograph Title: Data Systems and Travel Survey Methods 2009
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2121
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Automatic fare collection; Bus transit; Data collection; Network analysis (Planning); Smart cards; Subways; Transfers; Transportation planning
- Uncontrolled Terms: Trip data
- Geographic Terms: London (England)
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01137482
- Record Type: Publication
- ISBN: 9780309126380
- Report/Paper Numbers: 09-3419
- Files: TRIS, TRB, ATRI
- Created Date: Jul 31 2009 8:47AM