Xu, AS, Liu, BT, Huang, CH et al. (1 more author) (2018) Urban spatial patterns in a monocentric city with car-owning and no-car-owning residents. In: Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation. HKSTS 2016 - Smart Transportation, 10-12 Dec 2016, Hong Kong. , pp. 346-353. ISBN 9789881581457
Abstract
The existing monocentric city models mostly assume that residents are completely rational when making residential location and mode choice, and their direct utilities only depend on the consumption of two normal goods, a housing service and a composite non-housing good. This paper develops a new model by explicitly integrating the preference for solo-driving into car owners' direct utility functions. It is found that, an upward sloping rent-distance relationship exists nearby the Central Business District (CBD) when all residents are car owners, which is significantly different from the conclusion reported in literature. Considering the impact of car owners' preference for solo-driving, we differentiate two possible urban spatial patterns in a monocentric city with car-owning and no-car-owning residents. Numerical results show that an increase of car ownership does not always lead to an expansion in the city size.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Hong Kong Society for Transportation Studies Limited. All rights reserved. This is an author produced version of a paper presented at the HKSTS 2016 - Smart Transportation. |
Keywords: | monocentric city model; urban spatial equilibrium; household residential choice; mode choice; car ownership |
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: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jan 2019 15:53 |
Last Modified: | 21 Jan 2019 12:52 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140587 |