Literature DB >> 28879440

Neighborhood Influences on Vehicle-Pedestrian Crash Severity.

Alireza Toran Pour1, Sara Moridpour2, Richard Tay3, Abbas Rajabifard4.   

Abstract

Socioeconomic factors are known to be contributing factors for vehicle-pedestrian crashes. Although several studies have examined the socioeconomic factors related to the location of the crashes, limited studies have considered the socioeconomic factors of the neighborhood where the road users live in vehicle-pedestrian crash modelling. This research aims to identify the socioeconomic factors related to both the neighborhoods where the road users live and where crashes occur that have an influence on vehicle-pedestrian crash severity. Data on vehicle-pedestrian crashes that occurred at mid-blocks in Melbourne, Australia, was analyzed. Neighborhood factors associated with road users' residents and location of crash were investigated using boosted regression tree (BRT). Furthermore, partial dependence plots were applied to illustrate the interactions between these factors. We found that socioeconomic factors accounted for 60% of the 20 top contributing factors to vehicle-pedestrian crashes. This research reveals that socioeconomic factors of the neighborhoods where the road users live and where the crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focussing on the road users, should be targeted at these high-risk neighborhoods.

Keywords:  Boosted regression tree; Neighborhood socioeconomic influences; Neighborhood where crash occur; Neighborhoods where road users live; Vehicle-pedestrian crashes

Mesh:

Year:  2017        PMID: 28879440      PMCID: PMC5722732          DOI: 10.1007/s11524-017-0200-z

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  32 in total

1.  Demographic and environmental correlates of pedestrian injury collisions: a spatial analysis.

Authors:  E A Lascala; D Gerber; P J Gruenewald
Journal:  Accid Anal Prev       Date:  2000-09

2.  Evaluating pedestrian crashes in areas with high low-income or minority populations.

Authors:  Caitlin D Cottrill; Piyushimita Vonu Thakuriah
Journal:  Accid Anal Prev       Date:  2010-06-01

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Authors:  N N Sze; S C Wong
Journal:  Accid Anal Prev       Date:  2007-04-25

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Authors:  Duo Li; Prakash Ranjitkar; Yifei Zhao; Hui Yi; Soroush Rashidi
Journal:  Traffic Inj Prev       Date:  2016-09-22       Impact factor: 1.491

5.  Education level inequalities and transportation injury mortality in the middle aged and elderly in European settings.

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Journal:  Inj Prev       Date:  2005-06       Impact factor: 2.399

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Authors:  Daniel Graham; Stephen Glaister; Richard Anderson
Journal:  Accid Anal Prev       Date:  2005-01

7.  Examining racial bias as a potential factor in pedestrian crashes.

Authors:  Courtney Coughenour; Sheila Clark; Ashok Singh; Eudora Claw; James Abelar; Joshua Huebner
Journal:  Accid Anal Prev       Date:  2016-10-04

8.  Pedestrian fatalities by race/ethnicity in Arizona, 1990-1996.

Authors:  Doug Campos-Outcalt; Curt Bay; Alan Dellapenna; Marya K Cota
Journal:  Am J Prev Med       Date:  2002-08       Impact factor: 5.043

9.  Social class and the occurrence of traffic injuries and deaths in urban children.

Authors:  G Dougherty; I B Pless; R Wilkins
Journal:  Can J Public Health       Date:  1990 May-Jun

10.  Promoting safe walking and cycling to improve public health: lessons from The Netherlands and Germany.

Authors:  John Pucher; Lewis Dijkstra
Journal:  Am J Public Health       Date:  2003-09       Impact factor: 9.308

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  1 in total

1.  Correlates of the Built Environment and Active Travel: Evidence from 20 US Metropolitan Areas.

Authors:  Huyen T K Le; Ralph Buehler; Steve Hankey
Journal:  Environ Health Perspect       Date:  2018-07-30       Impact factor: 9.031

  1 in total

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