IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i22p8663-d449038.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/22/8663/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/22/8663/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Parisa Soltani & Kimia Baghaei & Kioumars Tavakoli Tafti & Gianrico Spagnuolo, 2021. "Science Mapping Analysis of COVID-19 Articles Published in Dental Journals," IJERPH, MDPI, vol. 18(4), pages 1-8, February.
    2. Kangxu Wang & Weifeng Wang & Tongtong Li & Shengjun Wen & Xin Fu & Xinhao Wang, 2023. "Optimizing Living Service Amenities for Diverse Urban Residents: A Supply and Demand Balancing Analysis," Sustainability, MDPI, vol. 15(16), pages 1-24, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Tiantian Gu & Shuyu Liu & Xuefan Liu & Yujia Shan & Enyang Hao & Miaomiao Niu, 2023. "Evaluation of the Smart City and Analysis of Its Spatial–Temporal Characteristics in China: A Case Study of 26 Cities in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 12(10), pages 1-23, September.
    3. Yinhua Mai & Xiujian Peng & Peter Dixon & Maureen Rimmer, 2014. "The economic effects of facilitating the flow of rural workers to urban employment in China," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 619-642, August.
    4. Asadullah, M. Niaz & Xiao, Saizi, 2020. "The changing pattern of wage returns to education in post-reform China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 137-148.
    5. Hong, Yan-Zhen & Su, Yi-Ju & Chang, Hung-Hao, 2023. "Analyzing the relationship between income and life satisfaction of Forest farm households - a behavioral economics approach," Forest Policy and Economics, Elsevier, vol. 148(C).
    6. Ying Yang & Peipei Li & Yu Kou, 2017. "Orientations to Happiness and Subjective Well-Being in Chinese Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(4), pages 881-897, December.
    7. He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    8. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    9. Qiao Wang, 2023. "Does the Chinese labour force make sufficient efforts? Empirical evidence using non‐parametric analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3262-3280, July.
    10. Wang, Huanming & Ran, Bing, 2022. "How business-related governance strategies impact paths towards the formation of global cities? An institutional embeddedness perspective," Land Use Policy, Elsevier, vol. 118(C).
    11. Wenjing Duan & Pedro S. Martins, 2022. "Rent sharing in China: Magnitude, heterogeneity and drivers," British Journal of Industrial Relations, London School of Economics, vol. 60(1), pages 176-219, March.
    12. Gagnon, Jason & Xenogiani, Theodora & Xing, Chunbing, 2009. "Are all migrants really worse off in urban labour markets: new empirical evidence from China," MPRA Paper 16109, University Library of Munich, Germany.
    13. John Knight & Quheng Deng & Shi Li, 2011. "The Evolution of the Migrant Labor Market in China, 2002-2007," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 201115, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    14. Xiangdan Piao & Xinxin Ma & Tetsuya Tsurumi & Shunsuke Managi, 2022. "Social Capital, Negative Event, Life Satisfaction and Sustainable Community: Evidence from 37 Countries," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1311-1330, June.
    15. Zhen Wang & Mingzhi Hu & Yu Zhang & Zhuo Chen, 2022. "Housing Security and Settlement Intentions of Migrants in Urban China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    16. Jinghong Wang & Siuming Lo & Qingsong Wang & Jinhua Sun & Honglin Mu, 2013. "Risk of Large‐Scale Evacuation Based on the Effectiveness of Rescue Strategies Under Different Crowd Densities," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1553-1563, August.
    17. Elliott, Robert J.R. & Zhou, Ying, 2015. "Co-location and Spatial Wage Spillovers in China: The Role of Foreign Ownership and Trade," World Development, Elsevier, vol. 66(C), pages 629-644.
    18. Zhizhu Lai & Qun Yue & Zheng Wang & Dongmei Ge & Yulong Chen & Zhihong Zhou, 2022. "The min-p robust optimization approach for facility location problem under uncertainty," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1134-1160, September.
    19. Qi, Di & Wu, Yichao, 2016. "The extent and risk factors of child poverty in urban China — What can be done for realising the Chinese government goal of eradicating poverty before 2020," Children and Youth Services Review, Elsevier, vol. 63(C), pages 74-82.
    20. Steven Brakman & Harry Garretsen & Zhao Zhao, 2017. "Spatial concentration of manufacturing firms in China," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 179-205, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8663-:d:449038. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.