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The Role of Land Use in Travel Mode Choice: Evidence from Boston and Hong Kong
Abstract
This article presents a study that analyzed the influence of land use on travel mode choice using survey data from Metropolitan Boston and Hong Kong. In Boston, the focus of inquiry was on whether land use would still matter for mode choice (and if so, to what extent) when mode attributes and traveler socioeconomic characteristics were taken into account. In Hong Kong, where the role of land use in mode choice is obvious due to the densely built environment, the focus was on whether land use completely explained the transit-dominated travel pattern. The empirical modeling confirmed that the role of land use in influencing travel was independent from travel time and monetary costs. Elasticity estimates show that the composite effect of land use on driving could be comparable in magnitude to that of driving cost. Yet being place specific, land use strategies are limited by the spatial extent to which they can be implemented. Land use strategies influence travel more effectively when complemented by pricing policies.
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Cited by
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Guo, Y., & He, S. Y. (2020) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2020.102335 · Cited by 322
Key Enhancements to the WFRC/MAG Four-Step Travel Demand Model
University of Utah, Ewing, R., Sabouri, S., University of Utah, Park, K., University of Utah, Lyons, T., University of Utah, Tian, G., & University of Utah (2019) · doi:10.15760/trec.246 · Cited by 3
Metadata
- Authors
- Zhang, M.
- Venue
- Journal of the American Planning Association
- Publisher
- Informa UK Limited
- Published
- 2004-09-30
- Volume
- 70
- Issue
- 3
- Pages
- 344-360
- ISSN
- 0194-4363 (ISSN-L)
- 1939-0130
- OpenAlex
- W2136119085
- Cited by
- 364
- References
- 0
- FWCI
- 20.74
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
