欢迎访问昆明冶金高等专科学校学报官方网站,今天是 分享到:

昆明冶金高等专科学校学报 ›› 2022, Vol. 38 ›› Issue (4): 27-.DOI: 10.3969/j.issn.1009-0479.2022.04.005

• 资源开发与测绘 • 上一篇    下一篇

基于大数据的昆明市交通拥堵时空特征及路网结构影响分析

易俊华1,许泉立2,钟欣呈2   

  1. (1.昆明冶金高等专科学校测绘学院,云南 昆明 650033;2.云南师范大学地理学部,云南 昆明 650500)
  • 收稿日期:2022-03-25 出版日期:2022-08-30 发布日期:2023-11-29
  • 作者简介:易俊华 (1976-),女,云南昆明人,正高级工程师,工学硕士,主要从事遥感技术应用与地理信息技术应 用研究。
  • 基金资助:
    国家自然科学基金:基于土地自然演化单元的土地利用变化元胞自动机模型研究 (42161065);国家自然科
    学基金:城镇化进程中基于蚁群行为规则的滇池流域不透水表面扩张智能体建模与模拟 (41461038)。

Spatial and Temporal Characteristics for Traffic Congestion and Influenceof Road Network Structure in Kunming Based on Big Data

YI Junhua1,XU Quanli2, ZHONG Xincheng2   

  1. (1. Geomatics Engineering Faculty , Kunming Metallurgy College , Kunming 650033, China;2. Faculty of Geography , Yunnan Normal University, Kunming 650500, China)
  • Received:2022-03-25 Online:2022-08-30 Published:2023-11-29

摘要: 交通拥堵是人们出行中常见的城市交通问题之一,监测交通拥堵态势、分析交通拥堵原因,进而改善交通拥堵问题是当前城市交通面临的重要课题。以昆明市主城区为例,基于高德地图提供的实时路况数据,设计拥堵时空指数对研究区交通状况进行评价与时空特征分析,并从道路网络结构的角度分析其拥堵原因。结果表明:1)拥堵时空指数能有效评价长时间序列的交通拥堵时空特征,该评价指数的适用性较强。2) 研究区交通态势总体情况良好,畅通路段平均占比为 72%,拥堵路段平均占比为5%,且总体交通态势变化较为规律3) 研究区交通拥堵具有显著的时空聚集特征,鲜有路段长期处于拥堵,缓行区域主要集中在城市主干道:在8.00-8.30,18:00-19.00 时出现一天当中的早高峰和晚高峰:周末与工作日相比,拥堵路段及拥堵时间明显减少,拥堵时空指数变化曲线相对平稳,交通态势变化受“通勤”影响明显。4) 在路网结构影响因子中,交通节点密度系数值最大且与拥堵时空指数呈正相关,合理控制交通节点数量是缓解昆明市主城区交通拥堵的重要途径。

关键词: 城市交通态势, 交通拥堵评价, 交通拥堵时空指数, 交通拥堵原因, 昆明

Abstract: Traffic congestion is one of the common urban traffic problems in people's travel. lt is impor-tant to monitoring the traffic congestion situation , analyzing the causes of traffic congestion , and then im-proving the traffic congestion . Taking the main urban area of Kunming city as an example , based on thereal-time road condition data provided by Amap, this paper designs a congestion time-space index to eval-uate the traffic condition in the study area and analyze its spatial and temporal characteristics, and ana-lyze the causes of congestion from the perspective of road network structure. The results show that: 1)The congestion time-space index can effectively evaluate the spatial and temporal characteristics of trafficcongestion in a long time series, and the applicability of the evaluation index is strong. 2) The overalltraffic situation in the study area is good. The average proportion of free passage sections is 72% , and the average proportion of congested sections is 5% , and the overall traffic situation changes more regularly3) The traffic congestion in the study area has significant temporal and spatial aggregation characteristics.There are few road sections that are congested for a long time, and the slow-moving areas are mainly onurban main roads; morning peaks and evening peaks of the day appear between 8: 00-8: 30 and 18 ;00-19: 00; weekends are compared with weekdays. Congested road sections and congestion time aresignificantly reduced, the congestion time-space index change curve is relatively stable, and changes intraffic situation are significantly affected by commuting. 4) Among the impact factors of the road networkstructure , the density coefficient of traffic nodes is the largest and is positively correlated with the conges-tion time-space index. A reasonable control of the number of traffic nodes is an important way to alleviatetraffic congestion in the main urban area of Kunming city.

Key words: urban traffic situation, traffic congestion evaluation, traffic congestion time-space index, rea-sons for traffic congestion, Kunming

中图分类号: