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Study on an Artificial Society of Urban Safety Livability Change

文献类型：期刊论文

作者Pan, Lihu1; Zhang, Le1; Qin, Shipeng1; Yan, Huimin2; Peng, Rui3; Li, Fen3
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2021-02-01
卷号10期号:2页码:24
关键词livable city urban safety livability resident decision-making behavior simulation artificial society Futian District Shenzhen
DOI10.3390/ijgi10020070
通讯作者Pan, Lihu(panlh@tyust.edu.cn)
英文摘要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.
资助项目Urban Livable SpaceWisdom Model and Personalized Decision-making System Research and Development[JSGG20170413173425899] ; Science and Technology Special Project (Class A) of the Chinese Academy of Sciences[XDA20010000] ; Chinese Academy of Sciences[XDA23100202] ; Excellent innovation project of graduate students in Shanxi Province[2020SY439]
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000622575800001
出版者MDPI
资助机构Urban Livable SpaceWisdom Model and Personalized Decision-making System Research and Development ; Science and Technology Special Project (Class A) of the Chinese Academy of Sciences ; Chinese Academy of Sciences ; Excellent innovation project of graduate students in Shanxi Province
源URL[http://ir.igsnrr.ac.cn/handle/311030/160547]  
专题中国科学院地理科学与资源研究所
通讯作者Pan, Lihu
作者单位1.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Shenzhen Inst Bldg Res, Shenzhen 518049, Peoples R China
推荐引用方式
GB/T 7714		 Pan, Lihu,Zhang, Le,Qin, Shipeng,et al. Study on an Artificial Society of Urban Safety Livability Change[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(2):24.
APA Pan, Lihu,Zhang, Le,Qin, Shipeng,Yan, Huimin,Peng, Rui,&Li, Fen.(2021).Study on an Artificial Society of Urban Safety Livability Change.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(2),24.
MLA Pan, Lihu,et al."Study on an Artificial Society of Urban Safety Livability Change".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.2(2021):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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