Affiliations: [a] School of Traffic and Transportation, Northeast Forestry University, Harbin, Heilongjiang, China | [b] School of Architecture and Fine Art, Dalian University of Technology, Dalian, Liaoning, China
Correspondence:
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Corresponding author: Jun Dong, School of Architecture and Fine Art, Dalian University of Technology, Dalian, Liaoning 116000, China. E-mail: dongjun@dlut.edu.cn.
Abstract: This paper proposes a collaborative optimization method for transportation planning and land use. This method combines system dynamics models, structural equations, DEA evaluation and BP neural network technology to construct a complete transportation planning and land use collaborative optimization system. In this system, system unit determination is a key problem, which has a different relationship with each stage. This paper uses the DEMATEL model to construct a causality diagram and an incidence matrix for the system units, to identify the central influencing unit and causal influencing unit of the method of collaborative optimization of transportation planning and land use. While simplifying the model through the DEMATEL model, the macro interaction mechanism between urban traffic and land use will be clarified. Further, the extracted key influence units can be micro-decomposed to construct subsystems of micro-elements, which makes preliminary preparation for the analysis of static and dynamic integration model.
Keywords: Transportation planning, land use, system unit, DEMATEL
