城市交通热点区域识别及空间交互分析

出租车载客数据可以用于研究居民的出行特征,提取城市的交通热点区域,但对城市交通热点区域的交互关系研究相对较少。本文以纽约市的出租车行程记录数据为数据源,利用交通小区划分结合出租车载客数据提取城市交通热点区域,基于复杂网络的方法对不同日期类型和天气情况的城市交通热点区域空间交互网络进行研究并进行社区发现。结果表明,热点区域受城市核心区的影响而聚集在核心区域周围,城市内社区的形成可以克服地形和行政区域等因素的影响。研究结论有望为城市规划、城市交通管理、出租车调度、以及人们的出行等提供信息参考。

Identification of Urban Traffic Hotspot Areas and Spatial Interaction Analysis

OD data of taxi can be used to study residents’travel characteristics and extract urban traffic hot spots,but there are relatively few studies on the interaction between urban traffic hot spots.Based on the New York City taxi trip record data as data sources,using traffic district division taxi OD data extraction of urban traffic hot spots,Based on the method of complex network,this paper studies the spatial interactive network of urban traffic hot spot areas with different date types and weather conditions and makes community detection.The results show that the hot spots are gathered around the core area under the influence of the urban core area,and the formation of community in the city can overcome the influence of topography and administrative area.The conclusions are expected to provide information reference for urban planning,urban traffic management,taxi scheduling,and people’s travel.