Investigating the fatal pedestrian crash occurrence in urban setup in a developing country using multiple-risk source model

Mukherjee, Debargha; Mitra, Sophie

doi:10.1016/j.aap.2021.106469

Cited by 11 publications

(1 citation statement)

References 79 publications

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“…Among them, pedestrians are the most vulnerable since they have the least protection during a vehicle-pedestrian collision [10]. As a result of continued investments in road safety research programs and countermeasures, pedestrian-related crashes in developed countries are presently declining [11]. However, pedestrian deaths are increasing in Iran, with the Iranian Legal Medicine Organization [12] reporting a 2.1% increase between 2018 and 2019.…”

Section: Introductionmentioning

confidence: 99%

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

2022

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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.

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Section: Introductionmentioning

confidence: 99%