摘要
通过百度地图提取西安市实时路况数据,借助Arcgis软件,运用广义G统计量、热点分析方法对西安市的交通拥堵进行研究,力图揭示其拥堵的时空分布特征。结果显示,西安市的交通拥堵呈现出明显的时空特征,拥堵的时间规律主要受工作日通勤、节假日外出等因素的影响;拥堵的空间规律主要受城市功能分区、商圈分布、路网结构等因素的影响。研究结果表明了利用实时路况数据研究城市交通拥堵时空规律的可行性。
Through extracting real-time road condition information of Xi＇an from Baidu map, this paper utilizes Getis-Ord General G and hotspot analysis to study Xi＇an traffic congestion with the help of Arcgis. The re- search purpose is revealing the spatio-temporal distribution of its congestion. The results show that Xi＇an traffic congestion has obvious spatiotemporal characteristics, in time domain, the traffic congestion exist differences because of weekday Commuting and weekend travelling, etc. And in space domain, the jamming state distri- bution is mainly affected by urban function partition, commercial circle and road network structure, etc. The study proved that it is feasible to study the urban traffic congestion using the real-time traffic data.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2017年第4期622-626,共5页
Journal of Northwest University（Natural Science Edition）
基金
西安市社会科学规划基金资助项目(16S42)
国家自然科学基金资助项目(51178163)
关键词
实时路况
西安市
G统计量
交通拥堵
时空特征
real-time traffic data
Xi＇an City
Getis-Ord G
traffic congestion
spatial-temporal characteristics
