基于百度地图实时路况的昆明市道路拥堵研究

On Kunming Traffic Congestion Based on Baidu Map Real-time Traffic Data

基于百度地图实时路况的调查资料,应用ArcGIS中全局空间自相关分析模块和局部空间聚集性模块方法,对昆明市交通拥堵进行时空分布特征研究。结果显示全局聚集分析中昆明市交通拥堵点呈现聚集性分布,局部空间聚集性分析中昆明市交通拥堵点局部聚集性强,分布区域集中在商业、客运中心和旅游休闲区域,空间上临近区域拥堵情况类似,土地利用性质对周围的交通存在显著的影响。拥堵的时间规律特征主要受人们活动规律的影响。

Based on the real-time road condition survey data of Baidu map,spatial analysis methods such as global spatial autocorrelation analysis and local spatial gathering analysis in ArcGIS were applied to study the spatial and temporal distribution characteristics of traffic congestion in Kunming.Global gathering analysis results indicate the Kunming city traffic jams point present clustering distribution,and the local spatial clustering analysis deals found that traffic congestion point of strong local clustering areas are mainly distributed in commercial,passenger transportation center and tourism and leisure area,and spatial congestion is similar in the near area.The use of land there had significant impact on the surrounding traffic.The characteristics of time rule of congestion are mainly influenced by people's activity rules.