基于签到数据的城市轨交站区个体行为时空聚集研究——以天津市为例  

Spatiotemporal Aggregation of Individual Behaviors in Urban Rail Transit Station Zone Based on Sign-in Data——A Case Study of Tianjin

作　　者：宫同伟 周梅婷[2] GONG Tong-wei;ZHOU Mei-ting(School of Architecture,Tianjin Chengjian University,Tianjin 300384,China;School of Art and Designs,Tianjin Normal University,Tianjin 300387,China)

机构地区：[1]天津城建大学建筑学院,天津300384 [2]天津师范大学美术与设计学院,天津300387

出　　处：《西南大学学报（自然科学版）》2020年第7期194-200,共7页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金项目(51608348).

摘　　要：以新浪微博签到数据为数据基础,采用核密度分析法和分类统计法,揭示天津市轨交站区个体行为的时空变化特征,归纳轨交站区个体行为的空间聚集模式.研究显示:①轨交站区个体行为在时间变化上表现为休闲导向的日均特征、持续增长的日间特征、女性主导的性别特征和时空分异的地源特征.②轨交站区个体行为在空间分布上表现为中心聚集的发展模式,依据聚集中心的差异可以分为轨交站点聚集模式和非轨交站点聚集模式两大类,其中非轨交站点聚集模式可以进一步细分为单中心聚集模式、单中心游走模式和多中心均衡模式三类.Based on the sign-in data of Sina Weibo,the spatiotemporal aggregation of individual behaviors in Tianjin Urban Rail Transit Station zone is discussed with the methods of kernel density analysis and classified statistics.The results show that in temporal variation,the individual behaviors of the rail transit station zone are characterized by a leisure-oriented daily average,a steady day-time growth,a female dominance in gender and a spatial and temporal differentiation in origin.In spatial distribution,individual behaviors of rail transit station zones are of the development mode of concentration in the center.According to the difference in gathering centers,it can be divided into two types:the mode of rail transit station concentration and the mode of non-rail transit station concentration.The non-rail transit station concentration model can be further subdivided into the single-center concentration mode,the single-center shifting mode and the multi-center equilibrium mode.

关 键 词：时空聚集 轨交站区 个体行为 签到数据 

分 类 号：U231[交通运输工程—道路与铁道工程]