文章编号： 1672-5328（2020）06-0028-09

吴娇蓉1，林子旸2
(1. 同济大学道路与交通工程教育部重点实验室，同济大学城市交通研究院，上海201804；2. 厦门交通研究中 心，福建厦门361000)

摘要： 居住区夜间停车困难已成为很多城市的巨大困扰。由于不同类型居住区停车供给对需求的刺 激水平不一，增加停车供给带来的效果差异较大。而目前停车配建标准给出的分类指标和方法难以 支持停车供需诱增关系定量研究。基于上海市中心城区790 个居住区夜间停车普查和居民出行意愿 调查数据，研究短期内影响居住区停车供需诱增的关键建成环境指标，包括建成年份和户均面积。 开展基于居住区建成环境指标的停车需求增长概率分析，得出关键控制指标对停车需求诱增的敏感 性。采用车均停车缺口、公共交通可达性、房价、停车位供需诱增率、停车位增容可能性五个指 标，建立购车意愿模型，分析指标的显著性。针对不同建成年份的居住区，提出面向精细化停车位 供给策略的居住区分类方法和差别化停车管理策略。

关键词： 居住区分类；夜间停车；供需诱增关系；建成环境指标；上海市

中图分类号： U491

文献标识码：A

Supply-Demand Inducing Relationship of Night Parking in Classified Residential Areas

Wu Jiaorong1, Lin Ziyang2
(1.Key Laboratory of Road and Transportation Engineering of Ministry of Education, Urban Mobility Institution, Tongji University, Shanghai 201804, China; 2.Xiamen Transportation Research Center, Xiamen Fujian 361000, China)

Abstract： Night parking problems in urban residential areas has become a great problem in many cities. Due to different stimulation levels of parking demand for different types of residential areas, the effects of increasing parking supply are quite different. However, the existing classification indicators and methods of parking construction standards are difficult to support the quantitative research on the relationship between parking supply and demand. Based on the parking survey data and residents' travel intention of 790 residential districts in central Shanghai at night, this paper discusses the critical build- up environmental indicators, including completion year and average household area, which affect the parking supply and demand in residential areas in the short term. Based on the probability analysis of parking demand growth based on the built-up environment indicators of residential areas, the paper analyzes the sensitivity of key control indicators to parking demand inducement. Using five indicators, namely parking space shortage, public transit accessibility, housing price, induced increase rate of parking space supply and demand, and possibility of parking space expansion, the paper develops a car purchase intention model to analyze the significance of the indicators. According to the residential area built in different years, the paper proposes classification method and differentiated parking management strategies.

Keywords： residential area classification; night parking; supply-demand inducing relationship; built-up environment indicators; Shanghai