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Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior (2011)
| Content Provider | CiteSeerX |
|---|---|
| Author | Pendyala, Ram M. Sener, Ipek N. Bhat, Ra R. |
| Abstract | This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a generalized spatially correlated logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multidimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the |
| File Format | |
| Journal | Journal of Transport Geography |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Destination Location Residential Location Gscl Model Alternative Correlation Mechanism Multidimensional Vector Choice Alternative Traditional Discrete Choice Model Estimation Result Discrete Choice Model Pre-imposing Restrictive Correlation Assumption Location Choice Alternative Residential Location Choice Behavior Unobserved Factor Workplace Location Many Location Choice Context Involve Choice Set Discrete Choice Modeling Application |
| Content Type | Text |
| Resource Type | Article |