Multi-Agent Based Regional Spatial Structure Evolution Simualtion for Forecast and Plan

The forecast and spatial plan of regional spatial structure (RSS) determines the development of regional economy. Essentially, RSS is spatial reflection of the interaction among cities in the region. As a result, the regional circumstance, population, economic level, etc. are the key elements to determine the RSS. This study bases an endogenous RSS model on theory analysis. Using Swarm platform, the paper realizes the RSS evolution simulation from a down-up view. Different from traditional methods, this model can not only explain the RSS evolution itself, but also support our further spatial forecast and plan. It is shown that the RSS is determined by the interaction among cities. Both the characteristics of the city and circumstance of the region are very important to the RSS evolution. Further case study and comparison with other method testify the conclusions. The results demonstrate the superiority of the modeling-simulation approach for RSS forecast and plan.