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Effect of Rail Transit on Crime: A Study of Los Angeles from 1988 to 2014

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Abstract

Objectives

To assess the impact of rail transit on crime in neighborhoods near transit stations.

Methods

We use data on the location and date of all rail station openings in Los Angeles between 1990 and 2012 and crimes reported to the Los Angeles Police Department from 1988 to 2014. We estimate the effect of transit on crime using a stepped-wedge design estimated with Poisson regression with permutation tests to assess statistical significance. Two labor strikes during the study period created a natural experiment for which we assessed the short-term effect of transit on crime.

Results

We find no evidence that transit station openings or disruptions in transit due to strikes result in changes in crime in surrounding neighborhoods.

Conclusions

The results suggest that rail transit may produce no major consequence for overall neighborhood crime patterns. Future research should examine other cities and more fine-grained geocoded data on crime at the street segment level and by land-use characteristics that generate foot traffic, as this approach could assess under what conditions transit may generate crime increases or reductions in highly localized areas.

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Notes

  1. MacDonald (2015) provides a thorough review of this literature. Here we summarize this review.

  2. http://media.metro.net/projects_studies/research/images/reports/mta_bus_regional_weekday_travel_patterns.pdf.

  3. Grand theft person is a misdemeanor listed under California PC 487(c) and involves the stealing of property of any value directly off of another person without force or threat of force.

  4. 2009 was the first year that we had good address data that we could reliably geocode into the 2005 RD map.

  5. All of the data, including the scanned archival data, historical RD maps, RD crosswalks, station maps and timelines are available from this study’s GitHub site, https://github.com/gregridgeway/LAPDcrimedata.

  6. 200 m from the boundary was selected so that the majority of residents in the RD would be within a typical walking distance to the Metro Rail station.

  7. ns 15(t) represents a set of 15 natural spline basis functions.

  8. For some RDs, this will be from a period in the mid-1990s while for other RDs this will be a sequence from the late 2000s.

  9. Specifically, August 14, 2000 through November 11, 2000 and September 12, 2003 through December 19, 2003.

  10. http://media.metro.net/projects_studies/funding/images/2012_funding_sources_guide.pdf.

References

  • Anderson ML (2014) Subways, strikes, and slowdowns: the impacts of public transit on traffic congestion. Am Econ Rev 104(9):2763–2796

    Article  Google Scholar 

  • Billings SB, Leland S, Swindell D (2011) The effects of the announcement and opening of light rail transit stations on neighborhood crime. J Urban Aff 33(5):549–566

    Article  Google Scholar 

  • Block R, Block CR (2000) The Bronx and Chicago: street robbery in the environs of rapid transit stations. In: Goldsmith V, McGuire P, Mollenkopf J, Ross T (eds) Analyzing crime patterns: frontiers of practice. SAGE Publications Inc, Thousand Oaks, CA, pp 137–152

    Chapter  Google Scholar 

  • Boarnet MG (2012) Metropolitan Los Angeles and transportation planning: back to the future. In: Sloane D (ed) Planning Los Angeles. American Planning Association Press, Chicago

    Google Scholar 

  • Bowes DR, Ihlanfeldt KR (2001) Identifying the impacts of rail transit stations on residential property values. J Urban Econ 50(1):1–25

    Article  Google Scholar 

  • Clarke R (1995) Situational crime prevention. Crime Justice 19:91–150

    Article  Google Scholar 

  • Cohen LE, Felson M (1979) Social change and crime rate trends: a routine activity approach. Am Sociol Rev 44:588–608

    Article  Google Scholar 

  • Cook PJ (1986) The demand and supply of criminal opportunities. Crime Justice 7:1–27

    Article  Google Scholar 

  • Cook PJ, MacDonald JM (2011) The role of private action in controlling crime. In: Cook P, Ludwig J, McCrary J (eds) Controlling crime: strategies and tradeoffs. University of Chicago Press, Chicago

    Chapter  Google Scholar 

  • Grogger J (2002) The effects of civil gang injunctions on reported violent crime. J Law Econ 45(1):69–90

    Article  Google Scholar 

  • Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining, inference, and prediction, 2nd edn. Springer, New York

    Book  Google Scholar 

  • Hussey MA, Hughes JP (2007) Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials 28(2):182–191

    Article  Google Scholar 

  • Ihlanfeldt KR (2003) Rail transit and neighborhood crime: the case of Atlanta, Georgia. South Econ J 70(2):273

    Article  Google Scholar 

  • Jacobs J (1961) The death and life of great American cities. Vintage

  • Kooi B (2013) Assessing the correlation between bus stop densities and residential crime typologies. Crime Prev Commun Safety 15(2):81–105

    Article  Google Scholar 

  • La Vigne NG (1997) Visibility and vigilance: metro’s situational approach to preventing subway crime. In: Research in brief. National Institute of Justice, Washington, DC

  • Levine N, Wachs M, Shirazi E (1986) Crime at bus stops: a study of environmental factors. J Archit Plan Res 3(4):339–361

    Google Scholar 

  • Liggett R, Loukaitou-Sideris A, Iseki H (2003) Journey to crime: assessing the effects of a light rail line on crime in the neighborhoods. J Public Transp 6(3):85–115

    Article  Google Scholar 

  • Lo S-C, Hall RW (2006) Effects of the Los Angeles transit strike on highway congestion. Transp Res Part A Policy Pract 40(10):903–917

    Article  Google Scholar 

  • Loukaitou-Sideris A (1999) Hot spots of bus stop crime. J Am Plan Assoc 65(4):395–411

    Article  Google Scholar 

  • Loukaitou-Sideris A, Liggett R, Iseki H, Thurlow W (2001) Measuring the effects of built environment on bus stop crime. Environ Plan 28(2):255–280

    Article  Google Scholar 

  • MacDonald JM (2015) Community design and crime: the impact of housing and the built environment. Crime and justice, vol 44. University of Chicago Press, Chicago

  • McCullagh P, Nelder JA (1989) Generalized linear models. Chapman and Hall, London

    Book  Google Scholar 

  • Metro (2015) Facts at a glance. http://www.metro.net/news/facts-glance/#P37_586. Accessed 20 Oct 2015

  • Poister TH (1996) Transit-related crime in suburban areas. J Urban Aff 18(1):63–75

    Article  Google Scholar 

  • Poston B (2014) LAPD records reveal flaws in crime reporting. Los Angeles times. http://documents.latimes.com/lapd-crime-data/

  • Sherman LW, Gartin PR, Buerger ME (1989) Hot spots of predatory crime: routine activities and the criminology of place. Criminology 27(1):27–56

    Article  Google Scholar 

  • Simpson DM (2013) What Culver City’s Expo station says about Santa Monica’s future. Santa Monica Daily Press. http://smdp.com/what-culver-citys-expo-station-says-about-santa-monicas-future/130169

  • Smith MJ, Clarke RV (2000) Crime and public transport. In: Tonry M (ed) Crime and justice: a review of research, vol 27. University of Chicago Press, Chicago

    Google Scholar 

  • Weisburd D (2015) The law of crime concentration and the criminology of place. Criminology 53:133–157

    Article  Google Scholar 

  • Weisburd D, Groff E, Yang S-M (2012) The criminology of place. Oxford University Press, New York

    Book  Google Scholar 

  • White H (1980) A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48(4):817–838

    Article  Google Scholar 

  • Wilson JQ, Kelling GL (1982) Broken windows: the police and neighborhood safety. Atl Monthly 249(3):29–38

    Google Scholar 

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Correspondence to Greg Ridgeway.

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Ridgeway, G., MacDonald, J.M. Effect of Rail Transit on Crime: A Study of Los Angeles from 1988 to 2014. J Quant Criminol 33, 277–291 (2017). https://doi.org/10.1007/s10940-016-9296-7

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  • DOI: https://doi.org/10.1007/s10940-016-9296-7

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