Identifying High-Risk Commercial Vehicle Drivers Using Sociodemographic Characteristics

Details

• Personal Author:
  Cambron A ; Sagar S ; Stamatiadis N ; Wright S
• Description:
  Crash data, from the state of Kentucky, for the 2015-2016 period, show that per capita crash rates and increases in crash-related fatalities were higher than the national average. In an effort to explain why the U.S. Southeast experiences higher crash rates than other regions of the country, previous research has argued the regions unique socioeconomic conditions provide a compelling explanation. Taking this observation as a starting point, this study examines the relationship between highway safety and socioeconomic and demographic characteristics, using an extensive crash dataset from Kentucky. Its focus is single- and two-unit crashes that involve commercial motor vehicles (CMVs) and automobiles. Using binary logistic regression and the quasi-induced exposure technique to analyze data on the socioeconomic and demographic attributes of the zip codes in which drivers reside, factors are identified which can serve as indicators of crash occurrence. Variables such as income, education level, poverty level, employment, age, gender, and rurality of the driver's zip code influence the likelihood of a driver being at fault in a crash. Socioeconomic factors exert a similar influence on CMV and automobile crashes, irrespective of the number of vehicles involved. Research findings can be used to identify groups of drivers most likely to be involved in crashes and develop targeted and efficient safety programs. [Description provided by NIOSH]
• Subjects:
  Age Factors Automobiles Demography Mortality Occupational Health Risk Assessment Risk Factors Safety Sex Characteristics
• Keywords:
  Age Factors Author Keywords: Highway Safety Commercial Motor Vehicles Demographic Characteristics Drivers Fatalities Gender Factors Motor Vehicles Quasi-induced Exposure Technique Risk Factors Socioeconomic Factors Socioeconomics

  More +
• ISSN:
  0001-4575
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Kentucky ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  143
• NIOSHTIC Number:
  nn:20066693
• Citation:
  Accid Anal Prev 2020 Aug; 143:105582
• Contact Point Address:
  Shraddha Sagar, a Department of Civil Engineering, University of Kentucky, 161 Raymond Bldg., Lexington, KY 40506-0281
• Email:
  shraddhasagar@uky.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  University of Kentucky
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Accident Analysis and Prevention
• End Date:
  20260630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:04188f19442c66d32a7e8bcaa8128192486bcab4331ad5a5d9162a4d0744aa9ba3a0af6b2b4ec550ed0fa14426f610b00ae9ea269b507c1dc3834b6da7591c6a
• Download URL:
  https://stacks.cdc.gov/view/cdc/231152/cdc_231152_DS1.pdf
• File Type:
  [PDF - 255.76 KB ]