IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p638-d1019799.html
   My bibliography  Save this article

Residents’ Location-Based Fear of Theft and Their Impact Factors in Guangzhou, China

Author

Listed:
  • Guangwen Song

    (Center of GeoInformatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Jiaqi Li

    (Center of GeoInformatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Chunxia Zhang

    (School of Tourism and Business, Guangzhou Panyu Polytechnic, Guangzhou 511483, China)

  • Jie Gu

    (College of Architecture & Urban Planning, Hunan City University, Yiyang 413000, China)

Abstract

While the fear of theft is common and is known to lead to lower satisfaction with life and subjective well-being, current literature regards the fear of theft as a stable psychological state and ignores discrepancies based on location and their influencing factors. To fill these gaps, we selected 74 typical communities and collected 1568 questionnaires throughout Guangzhou. The results show that: (1) the respondents demonstrated significant location-based differences in their fear of theft. Locations including a coach station, a railway station, a bus station, a subway station and a wholesale market had the highest associated levels of fear, whereas locations dedicated to leisure activities, especially those in high-end places, had a lower level of respondents’ fear of theft. (2) Vulnerability model, victimization model, community security and built environment can be applied to the analysis of fear of theft around different places, but interpretations of fear do vary widely from place to place.

Suggested Citation

  • Guangwen Song & Jiaqi Li & Chunxia Zhang & Jie Gu, 2022. "Residents’ Location-Based Fear of Theft and Their Impact Factors in Guangzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:638-:d:1019799
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/638/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/638/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fengrui Jing & Lin Liu & Suhong Zhou & Guangwen Song, 2020. "Examining the Relationship between Hukou Status, Perceived Neighborhood Conditions, and Fear of Crime in Guangzhou, China," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    2. Iddisah Sulemana, 2015. "The Effect of Fear of Crime and Crime Victimization on Subjective Well-Being in Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 849-872, April.
    3. Schafer, Joseph A. & Huebner, Beth M. & Bynum, Timothy S., 2006. "Fear of crime and criminal victimization: Gender-based contrasts," Journal of Criminal Justice, Elsevier, vol. 34(3), pages 285-301.
    4. Malleson, Nick & Andresen, Martin A., 2016. "Exploring the impact of ambient population measures on London crime hotspots," Journal of Criminal Justice, Elsevier, vol. 46(C), pages 52-63.
    5. Karakus, Onder & McGarrell, Edmund F. & Basibuyuk, Oguzhan, 2010. "Fear of crime among citizens of Turkey," Journal of Criminal Justice, Elsevier, vol. 38(2), pages 174-184, March.
    Full references (including those not matched with items on IDEAS)

    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. Fengrui Jing & Lin Liu & Suhong Zhou & Guangwen Song, 2020. "Examining the Relationship between Hukou Status, Perceived Neighborhood Conditions, and Fear of Crime in Guangzhou, China," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    2. Pablo Gaitán-Rossi & Ce Shen, 2018. "Fear of Crime in Mexico: The Impacts of Municipality Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 373-399, January.
    3. Kuen, Kiseong & Weisburd, David & White, Clair & Hinkle, Joshua C., 2022. "Examining impacts of street characteristics on residents' fear of crime: Evidence from a longitudinal study of crime hot spots," Journal of Criminal Justice, Elsevier, vol. 82(C).
    4. Situ, Xinyi, 2024. "From mobility to crime: Collective patterns of human mobility and gun violence in Baltimore City," Journal of Criminal Justice, Elsevier, vol. 94(C).
    5. Rader, Nicole E. & Cossman, Jeralynn S. & Porter, Jeremy R., 2012. "Fear of crime and vulnerability: Using a national sample of Americans to examine two competing paradigms," Journal of Criminal Justice, Elsevier, vol. 40(2), pages 134-141.
    6. Björn Nilsson, 2017. "Parental depressive symptoms and the child labor-schooling nexus: evidence from Mexico," Working Papers DT/2017/06, DIAL (Développement, Institutions et Mondialisation).
    7. Browning, Christopher R. & Cagney, Kathleen A. & Iveniuk, James, 2012. "Neighborhood stressors and cardiovascular health: Crime and C-reactive protein in Dallas, USA," Social Science & Medicine, Elsevier, vol. 75(7), pages 1271-1279.
    8. Martinique Cordeiro & Prudence Kwenda & Miracle Ntuli, 2020. "Crime and Life Satisfaction: Evidence from South Africa - Gauteng Province," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 715-736, July.
    9. Cook, Carrie L. & Fox, Kathleen A., 2012. "Testing the relative importance of contemporaneous offenses: The impacts of fear of sexual assault versus fear of physical harm among men and women," Journal of Criminal Justice, Elsevier, vol. 40(2), pages 142-151.
    10. Scarborough, Brittney K. & Like-Haislip, Toya Z. & Novak, Kenneth J. & Lucas, Wayne L. & Alarid, Leanne F., 2010. "Assessing the relationship between individual characteristics, neighborhood context, and fear of crime," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 819-826, July.
    11. Iddisah Sulemana & Louis Doabil & Ebenezer Bugri Anarfo, 2019. "International Remittances and Subjective Wellbeing in Sub-Saharan Africa: A Micro-level Study," Journal of Family and Economic Issues, Springer, vol. 40(3), pages 524-539, September.
    12. Langton, Samuel & Dixon, Anthony & Farrell, Graham, 2021. "Small area variation in crime effects of COVID-19 policies in England and Wales," SocArXiv cw6a4, Center for Open Science.
    13. Zhang, Yanji & Wang, Jiejing & Kan, Changcheng, 2022. "Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data," Journal of Transport Geography, Elsevier, vol. 98(C).
    14. Erin Grinshteyn & Reid Whaley & Marie-Claude Couture, 2020. "Minority Report: Prevalence of Fear of Violent and Property Crimes Among a Diverse College Sample," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 695-710, July.
    15. Fengrui Jing & Lin Liu & Suhong Zhou & Jiangyu Song & Linsen Wang & Hanlin Zhou & Yiwen Wang & Ruofei Ma, 2021. "Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China," IJERPH, MDPI, vol. 18(1), pages 1-17, January.
    16. Quick, Matthew & Li, Guangquan & Brunton-Smith, Ian, 2018. "Crime-general and crime-specific spatial patterns: A multivariate spatial analysis of four crime types at the small-area scale," Journal of Criminal Justice, Elsevier, vol. 58(C), pages 22-32.
    17. Álvaro Briz‐Redón & Jorge Mateu & Francisco Montes, 2022. "Identifying crime generators and spatially overlapping high‐risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 76(1), pages 97-120, February.
    18. Cheng, Zhiming & Smyth, Russell, 2015. "Crime victimization, neighborhood safety and happiness in China," Economic Modelling, Elsevier, vol. 51(C), pages 424-435.
    19. Daqian Liu & Wei Song & Chunliang Xiu & Jun Xu, 2021. "Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    20. Langton, Samuel & Dixon, Anthony & Farrell, Graham, 2021. "Small area variation in crime effects of COVID-19 policies in England and Wales," Journal of Criminal Justice, Elsevier, vol. 75(C).

    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:20:y:2022:i:1:p:638-:d:1019799. 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.