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Latent Class Cluster Analysis and Mixed Logit Model to Investigate Pedestrian Crash Injury Severity

Author

Listed:
  • Arsalan Esmaili

    (School of Civil Engineering, College of Engineering, University of Tehran, Tehran 1417935840, Iran)

  • Kayvan Aghabayk

    (School of Civil Engineering, College of Engineering, University of Tehran, Tehran 1417935840, Iran)

  • Nirajan Shiwakoti

    (School of Engineering, RMIT University, Melbourne 3001, Australia)

Abstract

Traffic crashes involving pedestrians have a high frequency in developing countries. Among road users, pedestrians are the most vulnerable, as their involvement in traffic crashes is usually followed by severe and fatal injuries. This study aims to identify pedestrian crash patterns and reveal the random parameters in the dataset. A three-year (2015–2017) pedestrian crash dataset in Mashhad, Iran, was employed to investigate the influence of a rich set of factors on pedestrian injury severity, some of which have been less accounted for in previous studies (e.g., the vicinity to overpasses, the existence of vegetated buffers, and park lanes). A two-step method integrating latent class cluster analysis (LCA) and the mixed logit model was utilized to consider unobserved heterogeneity. The results demonstrated that various factors related to the pedestrian, vehicle, temporal, environmental, roadway, and built-environment characteristics are associated with pedestrian injuries. Furthermore, it was found that integrated use of LCA and mixed logit models can considerably reduce the unobserved heterogeneity and uncover the hidden effects influencing severity outcomes, leading to a more profound perception of pedestrian crash causation. The findings of this research can act as a helpful resource for implementing effective strategies by policymakers to reduce pedestrian casualties.

Suggested Citation

  • Arsalan Esmaili & Kayvan Aghabayk & Nirajan Shiwakoti, 2022. "Latent Class Cluster Analysis and Mixed Logit Model to Investigate Pedestrian Crash Injury Severity," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:185-:d:1011863
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    2. Haorong Peng & Xiaoxiang Ma & Feng Chen, 2020. "Examining Injury Severity of Pedestrians in Vehicle–Pedestrian Crashes at Mid-Blocks Using Path Analysis," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    3. Morency, P. & Gauvin, L. & Plante, C. & Fournier, M. & Morency, C., 2012. "Neighborhood social inequalities in road traffic injuries: The influence of traffic volume and road design," American Journal of Public Health, American Public Health Association, vol. 102(6), pages 1112-1119.
    4. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.
    5. Hanson, Christopher S. & Noland, Robert B. & Brown, Charles, 2013. "The severity of pedestrian crashes: an analysis using Google Street View imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 42-53.
    6. Ciro Caliendo & Maurizio Guida & Fabio Postiglione & Isidoro Russo, 2022. "A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes in Italian tunnels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 109-131, March.
    7. Mariel, Petr & Artabe, Alaitz, 2020. "Interpreting correlated random parameters in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
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