Impact Analysis of Land Use on Traffic Congestion Using Real-Time Traffic and POI

Abstract

This paper proposed a new method to describe, compare, and classify the traffic congestion points in Beijing, China, by using the online map data and further revealed the relationship between traffic congestion and land use. The data of the point of interest (POI) and the real-time traffic was extracted from an electronic map of the area in the fourth ring road of Beijing. The POIs were quantified based on the architectural area of the land use; the congestion points were identified based on real-time traffic. Then, the cluster analysis using the attributes of congestion time was conducted to identify the main traffic congestion areas. The result of a linear regression analysis between the congestion time and the land use showed that the influence of the high proportion of commercial land use on the traffic congestion was significant. Also, we considered five types of land use through performing a linear regression analysis between the congestion time and the ratio of four types of land use. The results showed that the reasonable ratio of land use types could efficiently reduce congestion time. This study makes contributions to the policy-making of urban land use.

Analyzing urban traffic demand distribution and the correlation between traffic flow and the built environment based on detector data and POIs

“…In the context, the transport dynamics refers to traffic flow, and the built environment is the typical part of the road network structure. Some studies have analyzed the relationship between the built environment and traffic systems, such as traffic behaviors [16][17][18][19][20], the association between network structure and road safety [13,21,22], and the correlation between traffic congestion and different attributes of urban land use [23][24][25]. Though they found strong empirical evidence to show the correlation, limited research has investigated the impact of the built environment on traffic flow or complicated relationships between them at the level of the network.…”

“…Though they found strong empirical evidence to show the correlation, limited research has investigated the impact of the built environment on traffic flow or complicated relationships between them at the level of the network. Because research data as a kind of scarce resource in this domain is often comprised of location data and other data [24,25]. Trajectory, traffic state or other data in these studies are sample data in a sense and do not involve the traffic flow of different traffic modes.…”

Urban Land-use and Traffic Congestion: Mapping the Interaction

“…Shabbar et al (2014) argue that unplanned land-use results in traffic congestion. Other scholars have asserted a connection between land use and traffic congestion in urban areas (Colonna et al 2012;Kuzmyak, 2012;Mukherjee et al 2014;Zhang et al, 2017). However, the magnitude and significance of a relationship between land use and congestion remains unclear.…”

Vehicle Identification by Means of Radio-Frequency-Identification Cards and Magnetic Loops

“…New technologies applied to the automotive industry, big data and shared economy are changing the way people approach the world of transport. These advances, which are expected to contribute to an increase in the vehicle fleet together with world population growth, will soon result in unsustainable traffic in the main cities if actions are not taken [1]. For this reason, the need for greater control over vehicles is increasing considerably; this increase is why the extraction of information, identification and classification of vehicles in real time has emerged as a priority since the introduction of Intelligent Transportation Systems (ITS) [2].…”