摘要
出租车在城市居民出行中发挥着重要作用,其轨迹数据蕴含着人类行为的时空分布模式。基于出租车GPS数据,以上海市为例,提取170余万OD数据,分析上海市出租车出行的空间特征。以街道为节点、街道间出租车出行联系为边构建城市内部街道尺度下居民出行流动网络,结合社会网络中的中心性分析方法,计算节点的中心度及网络中心势,再选取工作日和周末居民出行较为活跃的时间段,从街道尺度分析上海市内部出租车出行流动特征及居民出行特征,为合理规划布局、揭示城市内部区域联系提供参考。
Taxi plays an important role in the travel of urban residents,and its trajectory data contains the spatiotemporal distribution pattern of human behavior.Taking Shanghai as an example,more than 1.7 million OD data are extracted to analyze the taxi travel space characteristics in Shanghai.The residents’travel flow network in the urban interior at the street scale is constructed by taking the street as the node and the taxi travel connection between streets as the side.Combining the centricity of social network analysis,we calculate the center of the node and network center potential.Then,we analyze the characteristics of taxi travel flow and residents’travel characteristics in Shanghai from the perspective of street scale by selecting the period of active travel on weekdays and weekends.Our research is prospected to provide a reference for rational planning and layout and revealing regional relations within the city.
作者
龚丽丽
蔡忠亮
李伯钊
牛彦芬
苏世亮
GONG Lili;CAI Zhongliang;LI Bozhao;NIU Yanfen;SU Shiliang(School of Resources and Environmental Sciences,Wuhan University,Wuhan 430079,China;Beijing Zhangxingtong Information Technology Co.,Ltd.,Beijing 100085,China)
出处
《测绘地理信息》
CSCD
2022年第S01期69-73,共5页
Journal of Geomatics
基金
国家重点研发计划(2017YFB0503500)
关键词
GPS数据
社会网络分析
出行特征
街道尺度
GPS data
social network analysis
travel characteristics
street scale
