IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v48y2021i4p706-723.html
   My bibliography  Save this article

Crime and bus stops: An examination using transit smart card and crime data

Author

Listed:
  • Renee Zahnow
  • Jonathan Corcoran

Abstract

Bus stops are considered “risky places†given their propensity to generate opportunities for crime and attract would-be offenders. In this study we examine crime across a large network of bus stops (n = 7170) in Brisbane, Australia. We use smart card and land use data to measure the influence of passenger presence and features of the immediate bus stop environs on theft and property damage at bus stops during peak and off-peak travel periods. We find that when more passengers are present at stops, there is greater risk of theft but there is no effect of passenger presence on property damage. We conclude that factors associated with crime at bus stops vary based on time of day.

Suggested Citation

  • Renee Zahnow & Jonathan Corcoran, 2021. "Crime and bus stops: An examination using transit smart card and crime data," Environment and Planning B, , vol. 48(4), pages 706-723, May.
  • Handle: RePEc:sae:envirb:v:48:y:2021:i:4:p:706-723
    DOI: 10.1177/2399808319890614
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2399808319890614
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2399808319890614?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gau, Jacinta M. & Pratt, Travis C., 2010. "Revisiting Broken Windows Theory: Examining the Sources of the Discriminant Validity of Perceived Disorder and Crime," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 758-766, July.
    2. Loukaitou-Sideris, Anastasia & Liggett, Robert & Hiseki, Hiroyuki, 2002. "The Geography of Transit Crime: Documentation and Evaluation of Crime Incidence on and around the Green Line Stations in Los Angeles," University of California Transportation Center, Working Papers qt6631x3cc, University of California Transportation Center.
    3. Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
    4. Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2011. "Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 640-652, August.
    5. Chen, Cynthia & Chen, Jason & Barry, James, 2009. "Diurnal pattern of transit ridership: a case study of the New York City subway system," Journal of Transport Geography, Elsevier, vol. 17(3), pages 176-186.
    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. Benito Zaragozí & Sergio Trilles & Aaron Gutiérrez & Daniel Miravet, 2021. "Development of a Common Framework for Analysing Public Transport Smart Card Data," Energies, MDPI, vol. 14(19), pages 1-22, September.

    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. Gustavo Carvalho Moreira & Vania Aparecida Ceccato, 2021. "Gendered mobility and violence in the São Paulo metro, Brazil," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 203-222, January.
    2. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
    3. Caudill, Jonathan W. & Getty, Ryan & Smith, Rick & Patten, Ryan & Trulson, Chad R., 2013. "Discouraging window breakers: The lagged effects of police activity on crime," Journal of Criminal Justice, Elsevier, vol. 41(1), pages 18-23.
    4. Li, Zhitao & Tang, Jinjun & Zhao, Chuyun & Gao, Fan, 2023. "Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    5. Moreira, Gustavo & Ceccato, Vania, 2021. "Testing theft transmission in and around São Paulo metro stations, Brazil," Journal of Transport Geography, Elsevier, vol. 94(C).
    6. Chen, Enhui & Stathopoulos, Amanda & Nie, Yu (Marco), 2022. "Transfer station choice in a multimodal transit system: An empirical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 337-355.
    7. Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    8. Wenjia Zhang, 2016. "Does compact land use trigger a rise in crime and a fall in ridership? A role for crime in the land use–travel connection," Urban Studies, Urban Studies Journal Limited, vol. 53(14), pages 3007-3026, November.
    9. Yang, Xiping & Fang, Zhixiang & Xu, Yang & Yin, Ling & Li, Junyi & Lu, Shiwei, 2019. "Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data," Journal of Transport Geography, Elsevier, vol. 78(C), pages 29-40.
    10. Wang, Jing & Wan, Feng & Dong, Chunjiao & Yin, Chaoying & Chen, Xiaoyu, 2023. "Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns," Journal of Transport Geography, Elsevier, vol. 109(C).
    11. Donghwa Shon & Seungbum Kim & Nahyang Byun, 2022. "Derivation Method of Architectural Asset Value Enhancement Zones in South Korea," Land, MDPI, vol. 11(4), pages 1-22, April.
    12. Zuoxian Gan & Min Yang & Tao Feng & Harry Timmermans, 2020. "Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations," Transportation, Springer, vol. 47(1), pages 315-336, February.
    13. Ann Shawing Yang, 2015. "Lottery Payment Cards: A Study of Mental Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(3), pages 201-226, July.
    14. Hiroaki Nishiuchi & Yasuyuki Kobayashi & Tomoyuki Todoroki & Tomoya Kawasaki, 2018. "Impact analysis of reductions in tram services in rural areas in Japan using smart card data," Public Transport, Springer, vol. 10(2), pages 291-309, August.
    15. Chiou, Yu-Chiun & Jou, Rong-Chang & Yang, Cheng-Han, 2015. "Factors affecting public transportation usage rate: Geographically weighted regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 161-177.
    16. Iva Bojic & Dániel Kondor & Wei Tu & Ke Mai & Paolo Santi & Carlo Ratti, 2021. "Identifying the Potential for Partial Integration of Private and Public Transportation," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    17. Zhou, Yang & Thill, Jean-Claude & Xu, Yang & Fang, Zhixiang, 2021. "Variability in individual home-work activity patterns," Journal of Transport Geography, Elsevier, vol. 90(C).
    18. John S. Heywood & Bryan Weber, 2019. "University-provided transit and crime in an urban neighborhood," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 467-495, June.
    19. Gao, Fan & Yang, Linchuan & Han, Chunyang & Tang, Jinjun & Li, Zhitao, 2022. "A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership," Journal of Transport Geography, Elsevier, vol. 105(C).
    20. Lijie Yu & Yarong Cong & Kuanmin Chen, 2020. "Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression," Sustainability, MDPI, vol. 12(6), pages 1-22, 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:sae:envirb:v:48:y:2021:i:4:p:706-723. 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: SAGE Publications (email available below). General contact details of provider: .

    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.