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

EAPSI：不同家庭结构住房便利设施偏好的空间异质性：北京住宅区位组合的离散选择模型

• 批准号: 1515435
• 负责人: Kevin Krivacsy
• 金额: $ 0.51万
• 依托单位: Krivacsy Kevin R
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1515435&HistoricalAwards=false
• 关键词: EAPSI; Spatial; Heterogeneity; Preferences; Housing

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.

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重视程度。 它还试图了解中国城市特有的汽车所有权政策限制如何影响家庭的捆绑决策，沿着将其应用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变化。 2011年初，北京通过摇号分配车牌的方式限制汽车购买。 这一限制导致每个家庭的选择能力受到限制。 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，提出了一个集成的离散选择模型框架，将居住位置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的居住位置选择行为。 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非常宝贵的。利用北京市城市化地区的微观数据，对捆绑式住宅区位选择的离散选择模型进行了估计。这是大都会区。 本计画透过整合住户调查及其他相关资料，发展一个模式架构，以：1）实作一个离散选择模式，用于住户调查。社区和结构设施的价值，这如何在家庭组成中发生变化，以及家庭决策的捆绑性质，（2）研究制约因素的作用（北京汽车拥有量）对这些捆绑式住宅区位决策的影响，沿着汽车拥有量的潜在政策变化对区位选择过程的影响;实现这一点是一个离散选择建模框架，允许选择方案之间的空间相关性。该NSF EAPSI奖支持美国研究生的研究，并与中国科技部合作资助。