INCORPORATING THE EFFECTS OF SPATIAL STRUCTURE IN DISCRETE CHOICE MODELS OF MIGRATION*
评估离散选择模型在分析区域系统迁移模式中的效用，引入空间结构变量作为预测因子，并以多伦多市内迁移为例证明该变量显著提升模型性能，尤其影响距离变量。
Discrete-choice theory and logit models are evaluated for their usefulness in analyzing migration patterns in a zonal system. The authors "argue that spatial effects and more specifically the relative location of zones are not taken into account in such analyses. We, therefore, introduce a measure of spatial structure and advocate its usage as a predictor of migration in such models. In an example of intrametropolitan migration in Toronto [Canada], we demonstrate that this variable is not only significant but also it improves the performance of all the other variables with the greatest impact on the distance between zones. In addition, inclusion of this variable improves the overall performance of the model in terms of residuals."