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

本奖项旨在研究北京居民在住宅选址决策过程中邻里属性的价值取向。它还试图了解中国城市独有的车辆所有权政策约束如何影响家庭的捆绑决策，并将其实施到一个独特的建模框架中，以调查这些偏好在大都市地区的差异。2011年初，北京通过摇号的方式限制购车。这一限制导致每个家庭可用选择的能力受到限制。通过模拟反事实，可以测试允许车辆数量的变化如何改变城市景观和特定类型家庭对某些位置选择特征的需求。本项目利用家庭的联合决策能力，提出了一个北京市的综合离散选择建模框架，将住宅区位选择与其他共同决策（如工作地点、通勤距离和车辆所有权）联系在一起，以进一步了解家庭捆绑住宅区位选择行为。该研究将在中国科学院地理科学与资源研究所的张文中博士的指导下进行，他的专业知识和住户调查数据将对该项目非常宝贵。利用覆盖北京城市化地区的独特微观数据集，估计了捆绑式住宅区位选择的离散选择模型。美国首都圈。本项目通过结合家庭调查和其他相关数据源开发了一个建模框架，以实现对家庭调查的离散选择模型。2)调查约束条件（北京的车辆拥有量）对这些捆绑式住宅选址决策的作用，以及车辆拥有量潜在政策变化对选址选择过程的影响；3)实现这是一个离散选择建模框架，允许不同选择方案之间的空间相关性。该奖项由美国国家科学基金会EAPSI与中国科技部合作资助，支持一名美国研究生的研究。

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.