Overlooked factors contributing to U.S. highway fatalities

This study aimed to examine the effects of highway expenditure, number of transportation employees, and four work commute modes (driving alone, carpooling, public transportation, and motorcycle), and road condition on highway safety across Louisiana, the Gulf of Mexico states region, the Southern states region, and the U.S. as a whole. Data spanning from 2004 to 2021 were collected and analyzed using the stepwise multiple linear regression method. The analysis focused on their relationships with two key highway fatality rates: Fatality Rate 1 (number of fatalities per vehicle miles traveled) and Fatality Rate 2 (number of fatalities per number of drivers). Eight regression equations were developed and validated. The findings will provide valuable insights for policymakers, facilitating the development of effective policies and strategies to enhance highway safety and reduce fatalities.

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Publication Details

Journal
Canadian Journal of Civil Engineering
Published
2024-10-25
DOI
https://doi.org/10.1139/cjce-2024-0236
Citations
3
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.09
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article

Overlooked factors contributing to U.S. highway fatalities

Behzad Rouhanizadeh, Elnaz Safapour, Mohammadsoroush Tafazzoli, Tharwat Khalaf Alswaeer
3 citations
Canadian Journal of Civil Engineering
Traffic and Road Safety
1.09
article

Overlooked factors contributing to U.S. highway fatalities

Behzad Rouhanizadeh, Elnaz Safapour, Mohammadsoroush Tafazzoli, Tharwat Khalaf Alswaeer
article en
3 citations

Abstract

This study aimed to examine the effects of highway expenditure, number of transportation employees, and four work commute modes (driving alone, carpooling, public transportation, and motorcycle), and road condition on highway safety across Louisiana, the Gulf of Mexico states region, the Southern states region, and the U.S. as a whole. Data spanning from 2004 to 2021 were collected and analyzed using the stepwise multiple linear regression method. The analysis focused on their relationships with two key highway fatality rates: Fatality Rate 1 (number of fatalities per vehicle miles traveled) and Fatality Rate 2 (number of fatalities per number of drivers). Eight regression equations were developed and validated. The findings will provide valuable insights for policymakers, facilitating the development of effective policies and strategies to enhance highway safety and reduce fatalities.

Canadian Journal of Civil EngineeringVol. 52(8)
University of New Orleans (US), Georgia Southern University (US)
Openalex Percentile: Top 23%
Traffic and Road Safety
1.09
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Overlooked factors contributing to U.S. highway fatalities — Behzad Rouhanizadeh, Elnaz Safapour, et al. · Canadian Journal of Civil Engineering (2024) | TGRS Research Map | TGRS