Modelling Joint Development of Light Rail Transit Stations and Land Use - The Case of Tel-Aviv
Light Rail Transit (LRT) has been gaining popularity as a means of decreasing private automobile dependency and thus reducing car pollutants, relieving congestion and enhancing community liveability. LRT is also perceived as an important generator of economic growth, mainly in old urban centers. Through the improvement of accessibility to CBDs (Central Business Districts) planners and decision makers expect to revitalize central cities' vis-a-vis the increasing competition from the growing suburban shopping malls. More specifically, the objective of this paper is to explore the complex relationship between transportation and land use by analyzing the optimal composition of land use around the proposed light rail stations. Density and diversity are the two most important characteristics of urban land use development. We examine changes in land use adjacent to the LRT stations in metropolitan Tel-Aviv, and their impact on the demand for total travel in particular. These changes include hypothetical scenarios of alternative land use compositions, densities and intensities of residential, employment, and commercial land uses. In order to measure the impact of these changes on travel, a demand model is calibrated. The traditional four-step transportation model is retrofitted with alternative land use density and diversity variables. Among these are: residential density, job-population balance etc. As such, the re¬structured model is more sensitive to the different hypothetical land use scenarios and is expected to predict ridership demand changes more accurately. The results have shown that some of the land use variables are extremely important for trip generation trends forecasts, especially trip attraction trends. Furthermore, the simulations of the various land use policies are able to display the spatial reaction of trip rates to land use function, density, degree of mix, and household characteristics. The results of this study could serve to better assess urban transportation ridership demands, especially since they serve as input for mode choice analyses. Moreover, by exploring this subject even further, planners and decision makers will be able to attain a clearer and more comprehensive picture of optimal land use patterns surrounding station areas, and in doing so, improving the quality of life of urban dwellers, commuters and visitors.
|Date of creation:||Aug 2005|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ersa.org
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ajay Kumar & David Levinson, 1995. "Chained Trips in Montgomery County, Maryland," Working Papers 199504, University of Minnesota: Nexus Research Group.
- Kenworthy, Jeffrey R. & Laube, Felix B., 1999. "Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 691-723.
- Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
- Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa05p401. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)
If references are entirely missing, you can add them using this form.