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Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China

Author

Listed:
  • Ju He

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

  • Yunxiao Dang

    (Land and Urban-Rural Development Research Institute, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Wenzhong Zhang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

  • Li Chen

    (College of Applied Arts and Science, Beijing Union University, Beijing 100191, China)

Abstract

The Corona Virus Disease 2019 (COVID-19) outbreak caused people to pay significant attention to urban public safety issues. The city’s public safety is an important part of the high-quality development and the construction of a liveable city. To understand whether and how factors at different levels affect the public security of particular group of people in a city. This study uses data from an extensive questionnaire survey by the Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) in 11 cities. This study uses the descriptive statistical method and Hierarchical Linear Model (HLM) to study the perception of urban public safety (PUPS) and its influencing factors of floating population with higher education background (FPHEB) from the three levels of city–district–individual. The study finds that (1) when FPHEB is placed in a district and a city at the same time, the influence of the city on PUPS is greater than that of the district; (2) the urban’s infrastructure security and economic development security positively affect the floating population; (3) the GDP and the number of stadiums and hospitals of the district are significantly positively correlated with the PUPS of the FPHEB, whereas the increase of population density and road density have negative effects; (4) FPHEB with distinct attributes will make their PUPS also different. This study is not only a reflection on the construction of urban public security after the COVID-19 outbreak but can also be used as a theoretical reference for the government in constructing urban public security. This study also enriches the research on the floating population and makes good scientific suggestions for the city’s PUPS of the FPHEB. The research results can provide a better reference for the government’s urban safety construction from the perspective of residents’ perception.

Suggested Citation

  • Ju He & Yunxiao Dang & Wenzhong Zhang & Li Chen, 2020. "Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China," IJERPH, MDPI, vol. 17(22), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8663-:d:449038
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    References listed on IDEAS

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    1. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    2. Xuewei Ji & Wenguo Weng & Weicheng Fan, 2008. "Cellular Automata‐Based Systematic Risk Analysis Approach for Emergency Response," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1247-1260, October.
    3. Wang, Huanming & Cheng, Zhe & Zhu, Dajian, 2020. "Striving for global cities with governance approach in transitional China: Case study of Shanghai," Land Use Policy, Elsevier, vol. 90(C).
    4. Russell Smyth & Ingrid Nielsen & Qingguo Zhai, 2010. "Personal Well-being in Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(2), pages 231-251, January.
    5. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2012. "Relaxing Hukou: Increased labor mobility and China’s economic geography," Journal of Urban Economics, Elsevier, vol. 72(2), pages 252-266.
    6. Danlin Yu & Chuanglin Fang & Dan Xue & Jingyuan Yin, 2014. "Assessing Urban Public Safety via Indicator-Based Evaluating Method: A Systemic View of Shanghai," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 89-104, May.
    7. Li Liu, 2006. "Quality of Life as a Social Representation in China: A Qualitative Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 75(2), pages 217-240, January.
    8. Yu Chen & Yunxiao Dang & Guanpeng Dong, 2020. "An investigation of migrants’ residential satisfaction in Beijing," Urban Studies, Urban Studies Journal Limited, vol. 57(3), pages 563-582, February.
    9. Hu, Shao-Long & Han, Chuan-Feng & Meng, Ling-Peng, 2016. "Stochastic optimization for investment in facilities in emergency prevention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 14-31.
    10. Lei Bu & Feng Wang & Haitao Gong, 2018. "Spatial and factor analysis of vehicle crashes in Mississippi state," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1255-1276, December.
    11. Knight, John & Li, Shi, 2005. "Wages, firm profitability and labor market segmentation in urban China," China Economic Review, Elsevier, vol. 16(3), pages 205-228.
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