EAPSI: Spatial Heterogeneity in Preferences for Housing Amenities across Household Compositions: Discrete Choice Models for Residential Location Bundles in Beijing

该奖项调查了北京家庭在住宅选址决策过程中对邻里属性的评价方式。它还试图了解中国城市特有的汽车拥有权政策限制如何影响家庭的捆绑决定，并将其应用到一个独特的建模框架中，以调查这些偏好在整个大都市地区如何变化。2011年初，北京通过摇号发放车牌的方式限制了汽车的购买。这一限制导致每个家庭可供选择的能力受到限制。通过对反事实的模拟，可以测试允许的车辆数量的变化如何改变城市景观和对特定类型家庭的某些地点选择特征的需求。该项目利用家庭的联合决策能力，为北京提供了一个完整的离散选择模型框架，将住宅区位选择与工作地点、通勤距离和车辆保有量等其他共同决策联系在一起，以进一步理解家庭捆绑住宅区位选择行为。这项研究将在中国科学院地理科学与自然资源研究所张文忠博士的监督下进行，他的专业知识和家庭调查数据对该项目将是无价的。利用覆盖北京-S都市圈城市化地区的微观数据集，对捆绑居住区位选择的离散选择模型进行了估计。本项目通过整合家庭调查和其他相关数据来源来开发一个模型框架，以1)实现一个离散选择模型，用于家庭调查？S对社区和结构便利设施的评估，这种变化如何在家庭组成中发生变化，以及家庭决策的捆绑性质，2)调查约束(北京的汽车拥有量)对这些捆绑的住宅区位决策的作用，以及车辆拥有量的潜在政策变化对区位选择过程的影响，3)实施这是一个离散选择建模框架，允许选择方案之间的空间关联。该NSF EAPSI奖支持一名美国研究生的研究，并与中国科技部合作提供资金。

This award investigates the ways that households value neighborhood attributes in the residential location decision process in Beijing. It also seeks to understand the ways vehicle ownership policy constraints unique to Chinese cities impacts the bundled decisions of households, along with implementing this into a unique modeling framework to investigate how these preferences vary across the metropolitan area. In early 2011, Beijing restricted the purchase of automobiles by distributing license plates through a lottery. This restriction led to capacity constraints on the choices that were available to each household. Through simulation of counterfactuals, it is possible to test how changes in the number of vehicles allowed may alter the urban landscape and demand for certain location choice characteristics for particular types of households. This project utilizes the joint decision making ability of households to present an integrated discrete choice modeling framework for Beijing that ties together residential location choice with other jointly made decisions such as work location, commuting distance and vehicle ownership to further understanding regarding household bundled residential location choice behavior. The research will be conducted under the supervision of Dr. Wenzhong Zhang of the Chinese Academy of Sciences Institute of Geographic Sciences and Natural Resources Research, whose expertise and household survey data will be invaluable to the project. The discrete choice model of bundled residential location choice is estimated using a unique micro-level dataset covering the urbanized areas of Beijing?s metropolitan district. This project develops a modeling framework through the incorporation of a household survey and other relevant data sources to 1) implement a discrete choice model for an investigation into household?s valuation of neighborhood and structure amenities, how this changes across household compositions, and the bundled nature of household decisions, 2) investigate the role of constraints (vehicle ownership in Beijing) on these bundled residential location decisions along with the impact of potential policy changes in vehicle ownership on the location choice process and 3) implement this is a discrete choice modeling framework that allows for spatial correlation across choice alternatives. This NSF EAPSI award supports the research of a U.S. graduate student and is funded in collaboration with the Chinese Ministry of Science and Technology.