01697545

Component

This paper presents a comparison of methods for capturing spatial correlation between location alternatives. Three different methods are compared and analyzed based on their statistical performances. To test their performances, the choice of school location for high school students is examined. This analysis shows that the Spatially Weighted Error Correlation (SWEC) Model outperforms the alternative approaches (spatial autocorrelation and GEV models) with respect to its ability to capture the intricacies of spatial choices. The reasons for this are twofold. First, the model can capture patterns of spatial autocorrelation between alternatives. Secondly, the model captures spatial heteroscedasticity in decision making based on the relative distance of an alternative from the location of the choice maker. This is a substantial improvement over the existing models commonly used models within the literature.

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: A Comparative Study of Methods for Capturing Spatial Correlations in Location Choice through an Empirical Application on School Location Modelling.

19-05270

English

4p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References

Alternatives analysis; Choice models; Empirical methods; High schools; Location; Logits

Discrete choice models; Spatial correlation

Toronto (Canada)

Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2019 Paper #19-05270

TRIS, TRB, ATRI

Dec 7 2018 9:31AM