This paper presents an innovative and new discrete choice model formulation: the spatially
weighted error correlation (SWEC) logit model for spatial location choices. This model
captures the correlation between spatially distinct alternatives based on the relative distance
between them. The SWEC model is proven to capture the trend that alternatives that are
close together are more correlated than those that are far apart. The SWEC model is applied
for the estimation of models of transit station choice for park and ride and kiss and ride …

This paper presents a novel discrete choice model formulation: the spatially weighted error
correlation (SWEC) logit model for spatial location choices. This model captures both the
correlation between spatially distinct alternatives based on the relative distance between
them and the heteroskedasticity of the errors of the alternative as a function of their relative
distance to the decision maker. The SWEC model is applied for the estimation of models of
transit station choice for P-and-R as well as kiss and ride (dropped off at transit station) …