郊区化背景下居民出行行为与实时路况信息的耦合作用——以福州市为例

Coupling Effect Between Residents' Travel Behavior and Real-time Traffic Status in the Context of Suburbanization——A Case Study of Fuzhou City

该文通过记录城市居民出行行为特征的出行日志,结合高德和交通广播采集的实时路况信息数据,在分别考察居民出行行为特征和交通车流分布特征的基础上,利用GIS空间分析方法匹配分析两者在时间和空间上的耦合关系。结果表明:居民出行日志与实时路况信息上反映的拥堵情况具有高度的耦合性和一致性,在时间上表现为居民出行呈现出较大的时间集聚特征,且工作日与休息日的集聚时段有所差异;在空间上表现为不论是休息日还是工作日,五四路、杨桥路和金山大道等交通主干道为主要拥堵路段,而尤溪洲大桥和工业路商业区路段在休息日拥堵情况突出。居民出行在时空上的集聚,体现出拥堵路况在居民出行日志与实时路况的高度一致性。

This study recorded the information of residents＇ travel behavior and obtained the traffic flow data through real-time traffic status. Based on characteristics of residents＇ travel behavior and distribution of traffic flow,it analyzed temporal and spatial coupling effect between them with the support of GIS spatial analysis method.The results showed：The characteristics between Fuzhou residents＇ travel behavior and real-time traffic status appear to be high degree of coupling and coherence. The residents＇ travel behavior demonstrates comparatively high clustering,and it＇s different in periods between weekdays and weekends. It＇s quite obvious that arterial roads such as Wusi Road,Yangqiao Road and Jinshan Avenue turn into the main congestion roads per day in space,especially Youxizhou Bridge and the business section of Gongye Road on weekends. Temporal and spatial clustering of the records of residents＇ travel behavior and traffic congestion from real-time traffic status reflects that they maintain high degree of coupling and coherence.