Multi-Agent Urban Ecological Land Allocation Model And Application

Rapid urbanization impacts on the quality of urban ecological environment seriously. In order to alleviate the urban ecological environment pressure, we need to allocate the urban ecological land reasonably. The traditional method does not consider the influence of government policy, so the results of spatial layout of urban ecological land are not enough operable. By simulating the game and consultative process of the interested party in the real world, the multi-agent system makes reasonable decision which increases the feasibility of site selecting significantly.This paper focuses on a site selecting model integrating multi-agent system and ant colony algorithm from the view of ecological security and urban sustainable development. The site selecting model is used for the site selecting of ecological land in Changsha. This model provides a new method for the site selecting of urban ecological land and the policy-making reference for Changsha ecological land selecting. The main research content and conclusion are as follows:(1) Designing a site selecting model integrating multi-agent system and ant colony algorithm.Constructing three kinds of agent that are government, resident and developer agent respectively.Government agent coordinates the relationship of economic development and ecological environment by analyzing ecological security pattern. Resident agent enhances the model operating efficiency through introducing ant colony algorithm.(2) Simulating urban space shape of Changsha city history and future dynamically by using ANN_CA model. The result indicated that the ANN_CA model can better simulate and forecast the spatial shape in Changsha city. The precision of prediction achieved 74.85%.(3) Through using the site selecting model integrating multi-agent system and ant colony algorithm and the traditional simple site selecting model, a comparative trial is performed in refers to 2006 Changsha city spatial shape. The conclusion is:the site selecting model results with multi-agent system model is more scientific and reasonable than traditional simple site selecting method. The model introduced ant colony algorithm makes the running time from 51.29 S to 22.37S.(4) Based on 2006,2010,2020 Changsha city spatial shape, three groups of site selecting comparative trial are performed. The test result indicates that the policy-making city ecological land selecting under the circumstances of considering the city pattern in the future can avoid the conflict of urban construction and environmental protection.