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Improving the urban livability status has become the core goal of urban development, and reasonable assessment of the urban livability status and impact is crucial. By combining an objective environment with residents’ subjective cognition, an artificial society (urban livability change artificial society; ULC-AS) is constructed. The ULC-AS includes four types of agents, namely, government, family, resident and safety facility management agency agents, and recognizes dynamic interaction among various agents and between agents and the environment. Taking the Futian District of Shenzhen as an example, this paper examines factors such as migrants, birth policies, and government investment. We simulate the interactions among resident satisfaction changes, relocation decision-making behavior and urban safety livability and analyze the change processes and development trends of urban safety livability under multiple scenarios. Our main result indicates that population change and investment construction are important factors affecting urban safety livability. At present, the population of the Futian District is saturated. Therefore, the government must assess the urban safety livability and increase investment in high-demand areas. Through this method, the goals of urban resource allocation optimization and coordinated urban development can be achieved.
Lihu Pan; Le Zhang; Shipeng Qin; Huimin Yan; Rui Peng; Fen Li. Study on an Artificial Society of Urban Safety Livability Change. ISPRS International Journal of Geo-Information 2021, 10, 70 .
AMA StyleLihu Pan, Le Zhang, Shipeng Qin, Huimin Yan, Rui Peng, Fen Li. Study on an Artificial Society of Urban Safety Livability Change. ISPRS International Journal of Geo-Information. 2021; 10 (2):70.
Chicago/Turabian StyleLihu Pan; Le Zhang; Shipeng Qin; Huimin Yan; Rui Peng; Fen Li. 2021. "Study on an Artificial Society of Urban Safety Livability Change." ISPRS International Journal of Geo-Information 10, no. 2: 70.
Urban livability is an important factor affecting the sustainable development of modern cities. Safe livability is an important part of urban livability. In view of this, this paper takes security as an example, and based on the actual data of Futian District, Shenzhen City, China, establishes a multi-agent simulation model of urban safe livability. The dynamic interaction feedback mechanism between decision-making behaviors of residents and urban safe livability under the influence of environment and policies has been explored, and residents’ decision-making simulation of the change of urban safe livability is realized. Finally, the main factors influencing urban safe livability are summarized through simulation conclusions. The research can not only provide scientific suggestions for improving the safe livability of Shenzhen, it also provides strong support for the sustainable development of the city.
Lihu Pan; Fenyu Yang; Feiping Lu; Shipeng Qin; Huimin Yan; Rui Peng. Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities. Sustainability 2020, 12, 2070 .
AMA StyleLihu Pan, Fenyu Yang, Feiping Lu, Shipeng Qin, Huimin Yan, Rui Peng. Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities. Sustainability. 2020; 12 (5):2070.
Chicago/Turabian StyleLihu Pan; Fenyu Yang; Feiping Lu; Shipeng Qin; Huimin Yan; Rui Peng. 2020. "Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities." Sustainability 12, no. 5: 2070.