A mixed logit analysis of motorists' right-of-way violation in motorcycle accidents at priority T-junctions

Chih Wei Pai, Kevin P. Hwang, Wafaa Saleh

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

Research suggested that motorists' right-of-way (ROW) violation in automobile-motorcycle gap-acceptance accidents at priority (i.e., stop-/yield-controlled) T-intersections has been a safety concern to motorcyclists. This study examines the characteristics of automobile-motorcycle gap-acceptance accidents that occurred at such locations. British Stats19 accident injury database during 1991-2005 are examined in detail. Automobile-motorcycle gap-acceptance accidents are classified into three crash scenarios: approach-turn, angle crossing, and angle merging crashes. Mixed (random parameters) logit models are estimated to investigate the contributory factors to motorists' ROW violation in these three crash types. Crash features are also compared among gap-acceptance accidents and other crash scenarios. The methodological approach adopted allows for the individuals within the observations to have different parameter estimates as opposed to a single parameter representing all observations (i.e., accounts for unobserved heterogeneity potentially relating to roadway/environmental characteristics, and motorist behaviours). It was found that motorcycles' ROW was more likely to be violated on non-built-up roads, and in diminished light conditions, with non-uniform effects across the observations. Elderly/female motorists appeared to be over-represented in gap-acceptance crashes. Implications of the findings are discussed.

Original languageEnglish
Pages (from-to)565-573
Number of pages9
JournalAccident Analysis and Prevention
Volume41
Issue number3
DOIs
Publication statusPublished - May 2009
Externally publishedYes

Keywords

  • Gap-acceptance accident
  • Mixed logit model
  • Priority T-junction
  • Right-of-way violation

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Safety, Risk, Reliability and Quality
  • Human Factors and Ergonomics
  • Law
  • Medicine(all)

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