Literature DB >> 31277019

Animal-vehicle collisions in Texas: How to protect travelers and animals on roadways.

Devin C Wilkins1, Kara M Kockelman2, Nan Jiang3.   

Abstract

Animal-vehicle collisions (AVCs) are a growing problem in the United States, resulting in countless loss of animal life and considerable human injury and death every year, especially to motorcyclists. Due to underreporting, collision data generally provide a very low (highly biased) estimate of actual AVC counts and often lack key details, such as the species of animals involved. However, AVC reports cover entire states and nations, and can illuminate differences in wild versus domestic animal-vehicle collisions through statistical and spatial analysis. 51,522 animal-related crashes were reported to Texas police from 2010 through 2016, at a total cost over $1.3 billion annually to Texas motorists - not including the value of lost animal lives. AVC reports jump twice a day: between 5 and 8 AM and between 5 and 10 PM. Motorists are also significantly more likely to collide with a wild animal during the months of October, November, and December. Wildlife-vehicle collisions (WVC) are 64% of total reports, events involving domestic animals (like dogs and cattle) are 31%, and the remaining 5% of reports are unspecified. Most AVCs in the state occur at night in unlit locations, usually on rural roads with very low traffic volumes. Using ordinary least-squares (OLS) regression analysis across Texas' n = 254 counties, this work finds that less densely populated counties, marked as rural, and those with fewer vehicle-miles traveled (VMT) per capita but more lane-miles per capita, tend to experience the greatest number of AVCs per VMT, after controlling for county average rainfall, share of VMT onsystem roadways, job densities, and vehicle ownership (vehicles per capita). Intervention options for the mitigation of animal-vehicle collisions are numerous and diverse. For wildlife collisions specifically, this work finds that large crossing structures (underpasses and overpasses) at the highway link level return benefit-to-cost ratios near 3.0, while their lower-cost counterparts (wildlife fencing and animal detection systems) deliver ratios up to 30.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Animal detection systems; Animal-vehicle collisions; Benefit-cost analysis; Crashes; Fencing; Overpasses; Texas; Underpasses; Wildlife

Mesh:

Year:  2019        PMID: 31277019     DOI: 10.1016/j.aap.2019.05.030

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  A Study of the Pattern of Injuries Sustained from Road Traffic Accidents Caused by Impact with Stray Animals.

Authors:  Chitta Ranjan Mohanty; Rakesh Vadakkethil Radhakrishnan; Mantu Jain; Prakash Kumar Sasmal; Upendra Hansda; Sunil Krishna Vuppala; Sunil Kumar Doki
Journal:  J Emerg Trauma Shock       Date:  2021-03-23

Review 2.  Spatio-Temporal Patterns and Consequences of Road Kills: A Review.

Authors:  Ayrton Gino Humberto Emilio Oddone Aquino; S'phumelele Lucky Nkomo
Journal:  Animals (Basel)       Date:  2021-03-12       Impact factor: 2.752

  2 in total

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