Cellular Agent–Based Approach Incorporating Spatial Discrete Choice Methods: Simulation of Future Land Use Impacts of High-Speed Rail on Aveiro, Portugal
A cellular agent–based model was designed to simulate the potential land use impacts of the future high-speed rail (HSR) service on the city of Aveiro, Portugal, and its neighboring municipalities. The model incorporated a spatial discrete choice method as a submodel, which estimated land use evolution behavior based on the growth of socioeconomic variables and the increase of road and railway accessibility. For validation purposes, the model was first run to test the historical land use change in the study area from 1991 to 2011. Based on the validated model, an analysis of three scenarios with different hypothetical HSR station locations was implemented to estimate the future land use impacts of HSR between 2011 and 2031. The simulation revealed that the introduction of HSR service could offer great opportunities for land use development in the area and that the station location within the city of Aveiro showed relatively better attractiveness to the development of new urban fabric and commercial and industrial land covers.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295185
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Authors:
- Shen, Yu
- Martínez, Luis Miguel
- de Abreu e Silva, João
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Maps; References; Tables;
- Pagination: pp 105–115
- Monograph Title: Travel Demand Forecasting 2014, Volume 2
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2430
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Accessibility; Choice models; High speed rail; Land use models; Simulation; Socioeconomic factors
- Geographic Terms: Portugal
- Subject Areas: Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01514805
- Record Type: Publication
- ISBN: 9780309295185
- Report/Paper Numbers: 14-2057
- Files: TRIS, TRB, ATRI
- Created Date: Feb 21 2014 3:16PM