基于实时数据的南京通勤拥堵时空特征分析

Analysis on Spatial and Temporal Characteristics of Urban Commuting Congestion in Nanjing Based on Real-Time Data

实时数据的发展为分析市民通勤提供了新的数据源。以南京中心城区为例,通过百度地图驾车路线规划采集实时路况数据,对其早高峰通勤拥堵时空特征进行研究。结果表明:时间上,人口移动规律与交通拥堵程度具有动态一致性;空间上,“一主三副”空间结构使交通流呈现向心趋势,跨江通勤使副城拥堵状况最为严重,主城区内交通连接处成为主要堵点。副城产业不配套所导致的职住分离、主城区路网尺度细碎造成的结构限制是造成拥堵的主要原因。

The development of real-time data provides a new data source for analyzing commuters.Taking the central urban area of Nanjing as an example,the real-time data of driving were collected through Baidu map,and the spatial and temporal characteristics of commuter congestion in the morning peak were studied.The results show that there is a dynamic consistency between the law of population movement and the degree of traffic congestion in time.In terms of space,the“one main and three sub”spatial structure makes the traffic flow present a centripetal trend.Cross river commuting makes the traffic congestion in the sub city the most serious,and the traffic connection in the main urban area becomes the main congestion point.The separation of employment and residence caused by the lack of supporting industries in the sub cities and the structural constraints caused by the fine scale of the road network in the main city are the main reasons for the congestion.