Impact of Station Land Use on the Occupational and Residential Functions of Metro Stations
杨静 1邢淑美 1饶海洋 1王月杏2
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作者信息
1. 北京建筑大学土木与交通工程学院,北京 100044
2. 天津市智能轨道交通研究院有限公司,天津 301700
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摘要
为探究土地利用与地铁车站职住功能之间的影响关系,提出居住客流指数和就业客流指数作为站点聚类指标.先对地铁站点进行分类,刻画车站的职住功能类型,之后构建空间Logistic回归模型,分析空间效应影响下地铁车站周边土地利用对其职住功能的影响.结果表明:相较于就业型车站,居住型车站存在更为显著的空间依赖关系,居住型车站周边每增加1个同类型车站时,该类车站形成的概率增大4.1％;以综合型站点为对照组,居住集中型车站周边每增加一个科教文化或停车场类兴趣点(points of interest,POI),该类车站形成的概率减小2.7％和3.2％;就业集中型车站周边每增加一个生活服务或住宿类POI,其形成的概率减小2.1％、0.8％,有利于其向综合型车站转变.研究结果可为站域土地利用规划或优化策略提供参考.
Abstract
In order to explore the relationship between land use and the occupational and the job-housing function of subway stations,residential passenger flow index and employment passenger flow index were proposed as site clustering indicators.Firstly,the subway stations were classified to describe the type of job-housing function of the station.Then,the spatial logistic regression model was constructed to analyze the influence of land use around the subway station on its job-housing function under the influence of spatial effect.The results show that compared to employment-oriented stations,residential-oriented stations exhibit a more significant spatial dependence,for each additional station of the same type around residential-oriented stations,the probability of forming such stations increases by 4.1％.Taking comprehensive stations as a reference group,for residential concentration-oriented stations,for every additional educational or cultural or parking facility point of interest(POI)around them,the probability of forming such stations decreases by 2.7％and 3.2％.In contrast,for employment concentration-oriented stations,for every additional life service or accommodation-related POI around them,the probability of forming such stations decreases by 2.1％and 0.8％,facilitating their transformation into comprehensive stations.The research results can provide reference for station area land use planning or optimization strategies.
关键词
城市轨道交通/客流特征/土地利用/空间效应/空间Logistic回归模型
Key words
urban rail transit/passenger flow characteristics/land use/spatial effect/spatial Logistic regression model
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