Study on an Artificial Society of Urban Safety Livability Change

Improving the urban livability status has become core goal of development, and reasonable assessment impact is crucial. By combining an objective environment with residents’ subjective cognition, artificial society (urban change society; ULC-AS) constructed. The ULC-AS includes four types agents, namely, government, family, resident safety facility management agency recognizes dynamic interaction among various agents between environment. Taking Futian District Shenzhen as example, this paper examines factors such migrants, birth policies, government investment. We simulate interactions satisfaction changes, relocation decision-making behavior analyze processes development trends under multiple scenarios. Our main result indicates that population investment construction are important affecting livability. At present, saturated. Therefore, must assess increase in high-demand areas. Through method, goals resource allocation optimization coordinated can be achieved.