Riding to Wall Street: determinants of commute time using Citi Bike
Commuting to work by shared bicycle is an increasingly popular transportation option. The authors examine the trip data from Citi Bike, the shared bicycle program of New York City, restricting the analysis to morning rides into the Wall Street area, a destination for which workers are likely to be sensitive to their arrival time. Among the frequent commute origins, commuting later in the morning lengthens the time on the road, while demographic variables such as gender, age and subscription also significantly predict commute time. Congestion appears to increase for bicycle commuters directly before financial markets open. Weather-related factors have a small impact on biking commute time compared to other factors. When considering the model specifications as potential user models of commute time, the bicycle commuters outperformed the models for shorter commutes and for commutes occurring later in the morning, which is consistent with the ability and incentive to increase efforts to reduce their riding time under these conditions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
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Supplemental Notes:
- © 2019 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Ford, Weixing
- Lien, Jaimie W
- Mazalov, Vladimir V
- Zheng, Jie
- Publication Date: 2019-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 473-490
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Serial:
- International Journal of Logistics Research and Applications
- Volume: 22
- Issue Number: 5
- Publisher: Taylor & Francis
- ISSN: 1367-5567
- EISSN: 1469-848X
- Serial URL: http://www.tandfonline.com/toc/cjol20/current
Subject/Index Terms
- TRT Terms: Bicycling; Commuting; Traffic congestion; Travel time; Vehicle sharing
- Identifier Terms: Citi Bike
- Geographic Terms: New York (New York)
- Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;
Filing Info
- Accession Number: 01723461
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 22 2019 4:48PM