【摘要】 居民日常出行既反映城市人口转移与集聚的真实路径,也体现着城市不同空间的使用强度差异。基于深圳第五次居民出行调查数据,研究从出行规模、出行时间和出行目的三方面分析城市居民出行的时空分布规律;并利用SPSS的K-MEANS聚类方法将市域482个交通小区划分为高热、次热、低热三类区域;由此识别出全市三级出行中心,三条出行走廊和五个出行组团,并将深圳城市出行总结为"多心多廊组团式"空间结构;最后从中心城区与外围郊区出行空间模式、城市出行中心与建成环境中心体系比较、五大出行组团发展差异等方面总结了深圳城市出行空间结构的特征。更多还原

【Abstract】 The daily travel of residents not only forms the path of urban population transfer and agglomeration,but also reflects the variety in use intensity of different urban spaces. Based on the fifth Shenzhen residents travel survey data,firstly,this paper analysis the temporal and spatial distribution of residents’ travel behaviors from there dimensions of travel scale,travel time and travel purpose.The next step is to use K-MEANS clustering method supported by SPSS to divide the 482 city-traffic-zones into three types,as high heat area,sub heat area and low heat area,through which we can identify the urban travel centers of three levels,three travel corridors and five travel groups,and sum up Shenzhen as a multi-center,multi-corridor and clustered city on the basis of its travel spatial structure. Finally,the characters of this spatial structure are analyzed from three aspects: travel space models of urban central area and outer suburb,center systems comparison of urban travel and built environment,and development differences of the five travel groups.更多还原