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Journeys to Crime: Assessing the Effects of a Light Rail Line on Crime in the Neighborhoods

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  • Liggett, Robin
  • Loukaitou-Sideris, Anastasia
  • Iseki, Hiroyuki

Abstract

The implementation of new transit lines is some times dogged by concerns that such lines may increase crime rates in station neighborhoods. Affluent communities have often complained that transit lines transport crime to the suburbs. This study focuses on the Green Line transit system in Los Angeles and examines its effects on crime in the adjacent areas. The Green Line light rail system passes through some high-crime inner city neighborhoods and terminates at its western end in affluent suburban communities. The study examines neighborhood level and municipality-wide crime trends for five years before and five years after the inception of the line. A piecewise regression model is developed to evaluate the impact of the opening of the line in the station neighborhoods. GIS analysis is also utilized to identify spatial shifts in crime hot spots for municipalities abutting the Green Line. At the end, the study establishes that the transit line has not had significant impacts on crime trends or crime dislocation in the station neighborhoods, and has not transported crime from the inner city to the suburbs.

Suggested Citation

  • Liggett, Robin & Loukaitou-Sideris, Anastasia & Iseki, Hiroyuki, 2003. "Journeys to Crime: Assessing the Effects of a Light Rail Line on Crime in the Neighborhoods," University of California Transportation Center, Working Papers qt2tq8b34w, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt2tq8b34w
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    Citations

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    Cited by:

    1. Jinyao Lin & Tongli Chen & Qiazi Han, 2018. "Simulating and Predicting the Impacts of Light Rail Transit Systems on Urban Land Use by Using Cellular Automata: A Case Study of Dongguan, China," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    2. S. Murray & D. Walton & J. Thomas, 2010. "Attitudes towards public transport in New Zealand," Transportation, Springer, vol. 37(6), pages 915-929, November.
    3. 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.
    4. Weber, Bryan, 2014. "Can safe ride programs reduce urban crime?," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 1-11.
    5. Vania Ceccato & Nathan Gaudelet & Gabin Graf, 2022. "Crime and safety in transit environments: a systematic review of the English and the French literature, 1970–2020," Public Transport, Springer, vol. 14(1), pages 105-153, March.
    6. Phillips, David C. & Sandler, Danielle, 2015. "Does public transit spread crime? Evidence from temporary rail station closures," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 13-26.
    7. Liggett, Robin & Loukaitou-Sideris, Anastasia & Iseki, Hiroyuki, 2004. "Protecting Against Transit Crime: The Importance of the Built Environment," University of California Transportation Center, Working Papers qt95908905, University of California Transportation Center.
    8. Karen Lucas, 2012. "A critical assessment of accessibility planning for social inclusion," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 13, pages 228-242, Edward Elgar Publishing.
    9. Daniel Baldwin Hess & Tangerine Maria Almeida, 2007. "Impact of Proximity to Light Rail Rapid Transit on Station-area Property Values in Buffalo, New York," Urban Studies, Urban Studies Journal Limited, vol. 44(5-6), pages 1041-1068, May.

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    Keywords

    Social and Behavioral Sciences;

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