Construction of Urban Planning Supporting System Using Genetic Algorithm Responding to Urban Decentralization: Case of Kanazawa City

Abstract

In this research, from a macro perspective, we studied the impact of urban development planning on population changes in central urban areas. Regional development plans have different aggregation modes and different development structures for different functional areas. This difference was evaluated as a different development model. Kanazawa was used as a case study area, and the corresponding development plan was determined by different development models. Set up three development modes of concentrated central urban area development mode, decentralized central urban area development mode, and maintenance-oriented central urban area development mode. Under the guidance of three different development modes, calculation and analysis are performed using genetic algorithms. The population recovery, the degree of land-use mix, and the degree of land-use specialization in the central urban area are three indicators. On this basis, a land-use planning support system has been developed.