Abstract
The coordination relationship between urban built environment and transport system is an indispensable field in the study of urban planning. Recent research efforts in built environment and transport system have focused on the effects of built environment on travel behaviors, such as car ownership, choice of travel mode, and travel frequency. These travel behaviors will affect the traffic level. However, research studies on direct assessments of links between built environment and traffic level are still limited. This paper aims to fill this gap by modeling with data envelopment analysis based on Point of Interest (POI) data and floating car data collected in Jinan, China. It is found that the coordination relationship between built environment and traffic level is poor in Jinan. With regard to the built environment input index, the distance from the city center has the greatest influence on the coordination relationship. And for the built environment output index, bus stop influences the coordination relationship most significantly. This research can support the provision of quantitative basis for the formulation of governance priorities for traffic governance policies.
Highlights
The land use mostly refers to the spatial distribution of various social activities, such as industrial areas, residential areas, and commercial areas [13,14,15]. e transport system mainly includes transportation structure and transportation infrastructure
Urban transport system is an essential part of the city. e safety and efficiency of the transport system are affected by the land use and by urban design and transportation infrastructure
The high density of the road network does not mean that the operation efficiency of the transport system is high. erefore, it is necessary to study the coordination relationship between urban built environment and traffic level from a higher dimension
Summary
The studies on the coordination relationship between built environment and traffic level are few, there are many research studies on the coordination relationship between land use and transport system. Where θ is the coordinated development index of built environment and transportation, ε is a non-Archimedean infinitesimal, s− is the relaxation variable of the input term, and s+ is the relaxation variable of the output term. Taking the built environment as the input index and the traffic level as the output index, the drive of the built environment to promote the traffic level is regarded as a production process, and the coordinated development index of the built environment to the traffic level is obtained, designated θ (θ1, θ2, ...θn). The coordinated development index of traffic level to built environment is designated as follows: θ′ (θ1′, θ2′, ...θn′).
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