Calastri, C, Borghesi, S and Fagiolo, G (2019) How do people choose their commuting mode? An evolutionary approach to travel choices. Economia Politica, 36 (3). pp. 887-912. ISSN 1120-2890
Abstract
A considerable amount of studies in the transport literature is aimed at understanding the behavioural processes underlying travel choices, like mode and destination choices. In the present work, we propose the use of evolutionary game theory as a framework to study commuter mode choice. Evolutionary game models work under the assumptions that agents are boundedly rational and imitate others’ behaviour. We examine the possible dynamics that can emerge in a homogeneous urban population where commuters can choose between two modes, private car or public transport. We obtain a different number of equilibria depending on the values of the parameters of the model. We carry out comparative-static exercises and examine possible policy measures that can be implemented in order to modify the agents’ payoff, and consequently the equilibria of the system, leading society towards more sustainable transportation patterns.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Springer International Publishing AG, part of Springer Nature. This is an author produced version of a paper published in Economia Politica. The final publication is available at Springer via https://doi.org/10.1007/s40888-018-0099-1. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Commuter choices; Transportation; Travel behaviour; Evolutionary dynamics; Evolutionary game theory; Bounded rationality; Environmental policy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Mar 2018 12:02 |
Last Modified: | 26 Sep 2019 09:51 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1007/s40888-018-0099-1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128408 |