基于Wi-Fi探针数据分析末端片区交通行为特征——以北京西城区月坛街区为例

Analysis of Traffic Behavior Characteristics of Terminal Area Using Wi-Fi Probe Data——A Case Study of Yuetan Block in Xicheng District,Beijing

为合理地评估街区个体交通行为特征,弥补以往从人类行为角度对相关理论研究的不足,提出以Wi-Fi探针技术为主,路况数据和视频采集数据为辅的方法,对城市小街区的人群活动进行研究,识别末端街区人群出行特征.以北京市西城区月坛街区为研究对象,通过分析单位职员末端公共出行分布、末端接驳时耗、接驳出行方式和接驳路径偏好等特征论证了该方法的适用性.结果表明:该街区的公共出行时长均在5 min以内,公交可达性良好;该街区内距地铁站点1 km路径位置的吸引力仍然占优势;行人的路径选择偏好条件宽敞和环境舒适的道路;以Wi-Fi探针技术得到的街道流量的缩样指数为17~23.未来Wi-Fi覆盖密度的增加可提高数据分析精度,为街区的设计和管理决策提供强有力的支持.

To reasonably evaluate the characteristics of individual traffic behavior of the block,make up for the inadequacy of previous research on related theories from the perspective of human behavior,this paper proposed an innovative method to study the crowd activity in the urban small block and identify the travel characteristics of the human in the terminal area.The method was based on Wi-Fi probe technology and supplemented by road condition data and video collection data.Yuetan block,a block in Xicheng district of Beijing was as a case study to verify the applicability of this method by analyzing the characteristics of travel distribution of public travel,travel time of connecting terminal,connecting travel mode and travel path preference of unit members.Results show that the public travel time of this block is less than 5 min,and the public accessibility is good.The subway station has significant attraction to the location of the 1 km path in this block.Pedestrians prefer to choose the road with spacious conditions and comfortable environment.The road section traffic reduction index of the Wi-Fi probe technology is 17-23.In the future,the increase of Wi-Fi coverage density will effectively improve the accuracy of data analysis and provide strong support for the design and management decisions of the blocks.