A behavioural comparison of route choice on metro networks: Time,transfers, crowding,topology and socio-demographics |
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Affiliation: | 1. Department of Transport Engineering and Logistics, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, Santiago, Chile;2. Robert F. Wagner Graduate School of Public Service, Rudin Center for Transportation Policy and Management, New York University, 295 Lafayette Street, New York, NY 10012, USA;3. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;1. Delft University of Technology, Department of Transport and Planning, P.O. Box 5048, 2600 GA Delft, The Netherlands;2. ProRail, Moreelsepark 3, 3511 EP Utrecht, The Netherlands;3. Significance, Koninginnegracht 23, 2514 AB The Hague, The Netherlands;2. Pontificia Universidad Católica de Chile, Chile;3. Universidad de Chile, Chile |
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Abstract: | Understanding travellers’ behaviour is key element in transportation planning. This article presents a route choice model for metro networks that considers different time components as well as variables related to the transferring experience, train crowding, network topology and socio-demographic characteristics. The route choice model is applied to the London Underground and Santiago Metro networks, to make a comparison of the decision making process of the users on both cities. As all the variables are statistically significant, it is possible to affirm that public transport users take into account a wide variety of elements when choosing routes. While in London the travellers prefer to spend time walking, in Santiago is preferable to spend time waiting. Santiago Metro users are more willing to travel in crowded trains than London Underground users. Both user groups have a similar dispreference to transfers after controlling for the time spent on transfer, but different attitudes to ascending and descending transfers. Topological factors presented on a distorted Metro map are more important than actual topology to passengers’ route choice decisions. |
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Keywords: | Decision making Route choice Metro networks Network topology |
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