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First published online January 1, 2014

User Behavior in Multiroute Bus Corridors: Analysis by a Web-Based Survey

Abstract

Multiroute corridors are a common feature of bus networks. In these corridors, passengers select a route from a set of parallel routes that serve the desired destinations. Understanding how passengers make these decisions can help measure passenger experience and inform network and service planning. A web-based survey was used to collect information on users of a multiroute corridor in London that includes both local and limited-stop bus service. The survey was used both as a tool to understand behavior and as a demonstration case for the viability of web-based surveys, a relatively new methodology for data collection on public transport user behavior. The representativeness and the accuracy of the survey responses were analyzed. The results revealed that online surveys could collect detailed information from a large, fairly representative sample of bus passengers. The responses to questions in the survey were used to categorize passenger behavior by route choice strategy. Passengers could either wait for a bus of a specific route or take the first bus to arrive that serves their destination. The survey data showed that passengers’ route choice strategies were influenced by several factors, including trip length, trip purpose, passenger income, use of countdown next-bus information, passenger attitudes toward crowding, and levels of risk aversion.

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References

1. Kurauchi F., Schmöcker J.-D., Fonzone A., Hemdan S. M. H., Shimamoto H., and Bell M. G. H. Estimating Weights of Times and Transfers for Hyperpath Travelers. In Transportation Research Record: Journal of the Transportation Research Board, No. 2284, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 89–99.
2. Chriqui C., and Robillard P. Common Bus Lines. Transportation Science, Vol. 9, No. 2, 1975, pp. 115–121.
3. Han A. F., and Wilson N. H. The Allocation of Buses in Heavily Utilized Networks with Overlapping Routes. Transportation Research Part B: Methodological, Vol. 16, No. 3, 1982, pp. 221–232.
4. Stopher R., and Shen L. In-Depth Comparison of Global Positioning System and Diary Records. In Transportation Research Record: Journal of the Transportation Research Board, No. 2246, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 32–37.
5. Stopher P., FitzGerald C., and Xu M. Assessing the Accuracy of the Sydney Household Travel Survey with GPS. Transportation, Vol. 34, No. 6, 2006, pp. 723–741.
6. Cobanoglu C., Warde B., and Moreo P.J. A Comparison of Mail, Fax, and Web-based Survey Methods. International Journal of Market Research, Vol. 43, No. 4, 2001, pp. 441–452.
7. Eboli L., and Mazzulla G. A New Customer Satisfaction Index for Evaluating Transit Service Quality. Journal of Public Transportation, Vol. 12, No. 3, 2009, pp. 21–37.
8. Gordon J. B., Koutsopoulos H. N., Wilson N. H. M., and Attanucci J. P. Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2343, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 17–24.
9. Boyer S., and Stron M. Best Practices for Improving Survey Participation. Oracle Corporation, 2012.
10. Viggiano C. A. Bus User Behavior in Multi-Route Corridors. MS thesis, Massachusetts Institute of Technology, Cambridge, 2013.

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Article first published online: January 1, 2014
Issue published: January 2014

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© 2014 National Academy of Sciences.
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Authors

Affiliations

Cecilia Viggiano
Room 1-235;Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139.
Haris N. Koutsopoulos
Room 1-353;Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139.
KTH Royal Institute of Technology, Teknikringen 72, 100 44 Stockholm, Sweden.
John Attanucci
Room 1-274, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139.

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