中文摘要：

为刻画居住选址备选方案之间的空间相关性,选取通勤成本、住房成本、小区特征、家庭社会经济属性等效用变量,构建了基于广义极值理论的配对巢式Logit模型。利用2005年北京市居民出行调查数据,对模型参数进行估计和检验,并对模型进行弹性分析,研究了效用变量改变所引起的备选方案选择概率的改变。结果表明：配对巢式Logit模型具有比传统多项Logit模型更优的统计学特征,并且能刻画空间相关性随备选方案之间距离增加而衰减的特性;较之以往研究中仅假定相邻空间存在相关性,该模型更接近现实。

英文摘要：

To describe the spatial correlation among residential location alternatives, a paired nested Logit model was formulated based on the generalized extreme value theory, with factorsincluding commute cost, housing cost, land use mix, and socio-economic characteristics of household defined as exogenous variables. Using traffic survey data of Beijing in 2005, the modelparameters were estimated and tested, and elastic analysis was conducted to analyze the change of alternatives probability due to the variation of factors. The results show that the model is moreplausible statistically than multinomial Logit model. Moreover, the spatial correlation between two alternatives decreases as their distance increases, which is more realistic than modelspresented in previous researches.