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  • 标题:Modelling hedonic residential rents for land use and transport simulation while considering spatial effects
  • 本地全文:下载
  • 作者:Michael Löchl ; Kay W. Axhausen
  • 期刊名称:Journal of Transport and Land Use
  • 印刷版ISSN:1938-7849
  • 出版年度:2010
  • 卷号:3
  • 期号:2
  • DOI:10.5198/jtlu.v3i2.117
  • 语种:English
  • 出版社:University of Minnesota * Department of Civil, Environmental, and Geo-Engineering
  • 摘要:The application of UrbanSim requires land or real estate price data for the study area. These can be difficult to obtain, particularly when tax assessor data and data from commercial sources are unavailable. The article discusses an alternative method of data acquisition and applies hedonic modeling techniques in order to generate the required data. Many studies have highlighted that ordinary least square (OLS) regression approaches lack the ability to consider spatial dependency and spatial heterogeneity, consequently leading to biased and inefficient estimations. Therefore, a comprehensive data set is used for modeling residential asking rents by applying and comparing OLS, spatial autoregressive, and geographically weighted regression (GWR) techniques. The latter technique performed best with regard to model fit, but the issue of correlated coefficients favored a spatial simultaneous autoregressive model. Overall, the article reveals that when housing markets are a particular concern in UrbanSim applications, significant efforts are needed for the price data generation and modeling. The study concludes with further development potentials for UrbanSim.
  • 关键词:Hedonic technique; UrbanSim; asking rents; spatial effects; Switzerland
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