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Public transportation and fear of crime at BRT Systems: Approaching to the case of Barranquilla (Colombia) through integrated choice and latent variable models

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  • Soto, Jose
  • Orozco-Fontalvo, Mauricio
  • Useche, Sergio A.

Abstract

Security perception and Fear of Crime (FoC) in urban scenarios have the potential to affect travel behavior, changing people’s travel choices and patterns. In this sense, the feeling of being “safe” or “at-risk” in public transportation not only depends on observable factors like illumination, travel companionship or transport crowding, but also on unobservable individual-specific latent attributes, among which fear of crime constitutes a major issue to consider in transport security policy-making. This study aimed to describe the relationships among sociodemographic features, travel situations, system-design features, and the Fear of Crime at three different locations (buses, bus stops, and stations) of the BRT system of Barranquilla (Colombia). Using an image-based survey applied in Barranquilla, data was collected from a full-sample of 500 adult users (64% females and 36% males) of the system. It was estimated a hybrid choice model to include location-based fear of crime in public transportation perception of risk, along with attributes related to (e.g.) surveillance, crowding, time of the day, and companionship. The relation between fear of crime and perception of security in public transportation is negative and highly significant. FoC inside the bus has the highest negative effect on the utility, followed by bus stops and BRT Stations, for which it remains non-significant. Gender (being a female user) was the strongest FoC predictor. Moreover, it was found that the higher is the user’s income, the lower is the fear of crime reported for each one of these three types of location. Overall, the inclusion of the fear of crime perception in the estimation of the hybrid choice model enhances the model fit. Also, the user-related findings of this study at different locations provide a better understanding of the decision-making process and the predictors of fear of crime in BRT systems.

Suggested Citation

  • Soto, Jose & Orozco-Fontalvo, Mauricio & Useche, Sergio A., 2022. "Public transportation and fear of crime at BRT Systems: Approaching to the case of Barranquilla (Colombia) through integrated choice and latent variable models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 142-160.
    • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:142-160
    DOI: 10.1016/j.tra.2021.11.001
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    1. Schulz, A.J. & Mentz, G. & Lachance, L. & Johnson, J. & Gaines, C. & Israel, B.A., 2012. "Associations between socioeconomic status and allostatic load: Effects of neighborhood poverty and tests of mediating pathways," American Journal of Public Health, American Public Health Association, vol. 102(9), pages 1706-1714.
    2. dell'Olio, Luigi & Ibeas, Angel & Cecín, Patricia, 2010. "Modelling user perception of bus transit quality," Transport Policy, Elsevier, vol. 17(6), pages 388-397, November.
    3. Whitley, Rob & Prince, Martin, 2005. "Fear of crime, mobility and mental health in inner-city London, UK," Social Science & Medicine, Elsevier, vol. 61(8), pages 1678-1688, October.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Soto, Jose J. & Márquez, Luis & Macea, Luis F., 2018. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 65-77.
    6. Erick Calvo & Mario Ferrer, 2018. "Evaluating the quality of the service offered by a bus rapid transit system: the case of Transmetro BRT system in Barranquilla, Colombia," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(3), pages 392-413, July.
    7. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    8. Rafael Prieto Curiel & Steven Richard Bishop, 2018. "Fear of crime: the impact of different distributions of victimisation," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-8, December.
    9. Quinones, Lina Marcela, 2020. "Sexual harassment in public transport in Bogotá," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 54-69.
    10. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
    11. David Hensher & Corinne Mulley, 2015. "Modal image: candidate drivers of preference differences for BRT and LRT," Transportation, Springer, vol. 42(1), pages 7-23, January.
    12. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    13. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
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    2. Carolina Busco & Felipe González & Nelson Lillo, 2022. "Safety, Gender, and the Public Transport System in Santiago, Chile," Sustainability, MDPI, vol. 14(24), pages 1-15, December.

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