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Mobility-based neighborhood disadvantage and crime in Houston

Author

Listed:
  • Wu, Ling
  • Lee, Claire Seungeun
  • Zhu, Chunwu

Abstract

This study examines the relationship between complex human mobility patterns, neighborhood disadvantage, and crime levels. It operates on the premise that a neighborhood's well-being is shaped not only by static socioeconomic factors but also by the dynamic movement of urban residents. These mobility patterns link neighborhoods to the conditions of both the places their residents visit and those visited by others, forming an interconnected network of influences.

Suggested Citation

  • Wu, Ling & Lee, Claire Seungeun & Zhu, Chunwu, 2025. "Mobility-based neighborhood disadvantage and crime in Houston," Journal of Criminal Justice, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:jcjust:v:101:y:2025:i:c:s0047235225001576
    DOI: 10.1016/j.jcrimjus.2025.102508
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    References listed on IDEAS

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    1. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    2. Geon Kim & Seungbeom Kang, 2024. "Segregated by whom? Examining triple neighbourhood disadvantages and activity spaces in Seoul, South Korea," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    3. Malia Jones & Anne Pebley, 2014. "Redefining Neighborhoods Using Common Destinations: Social Characteristics of Activity Spaces and Home Census Tracts Compared," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 727-752, June.
    4. Nolan E. Phillips & Brian L. Levy & Robert J. Sampson & Mario L. Small & Ryan Q. Wang, 2021. "The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods," Sociological Methods & Research, , vol. 50(3), pages 1110-1149, August.
    5. Xiao Hou & Song Gao & Qin Li & Yuhao Kang & Nan Chen & Kaiping Chen & Jinmeng Rao & Jordan S. Ellenberg & Jonathan A. Patz, 2021. "Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(24), pages 2020524118-, June.
    6. Eric Chyn & Lawrence F. Katz, 2021. "Neighborhoods Matter: Assessing the Evidence for Place Effects," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 197-222, Fall.
    7. Guangwen Song & Yanji Zhang & Wim Bernasco & Liang Cai & Lin Liu & Bo Qin & Peng Chen, 2023. "Residents, Employees and Visitors: Effects of Three Types of Ambient Population on Theft on Weekdays and Weekends in Beijing, China," Journal of Quantitative Criminology, Springer, vol. 39(2), pages 385-423, June.
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    9. Brian J. Stults & Matthew Hasbrouck, 2015. "The Effect of Commuting on City-Level Crime Rates," Journal of Quantitative Criminology, Springer, vol. 31(2), pages 331-350, June.
    10. John Palmer & Thomas Espenshade & Frederic Bartumeus & Chang Chung & Necati Ozgencil & Kathleen Li, 2013. "New Approaches to Human Mobility: Using Mobile Phones for Demographic Research," Demography, Springer;Population Association of America (PAA), vol. 50(3), pages 1105-1128, June.
    11. Lyndsay N. Boggess & John R. Hipp, 2010. "Violent Crime, Residential Instability and Mobility: Does the Relationship Differ in Minority Neighborhoods?," Journal of Quantitative Criminology, Springer, vol. 26(3), pages 351-370, September.
    12. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2016. "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment," American Economic Review, American Economic Association, vol. 106(4), pages 855-902, April.
    13. Xiao Huang & Junyu Lu & Song Gao & Sicheng Wang & Zhewei Liu & Hanxue Wei, 2022. "Staying at Home Is a Privilege: Evidence from Fine-Grained Mobile Phone Location Data in the United States during the COVID-19 Pandemic," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 112(1), pages 286-305, January.
    14. Andresen, Martin A., 2011. "Estimating the probability of local crime clusters: The impact of immediate spatial neighbors," Journal of Criminal Justice, Elsevier, vol. 39(5), pages 394-404.
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    Cited by:

    1. Shengwen Li & Xinyue Ye & Xiao Huang & Junfang Gong & Jay Lee & Suzhen Huang & Ling Wu, 2025. "Estimation of global and regional patterns of flows," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(4), pages 1-18, December.

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