Macroscopic Bicycle Crash Analysis: Focusing on Crash Locations and Residence

Recent bicycle crash analyzes have been focused on the macroscopic level but have left multiple unanswered research questions; (1) What are the contributing factors for the number of bicycle crashes per crash location zone? What are factors for the number of crash-involved bicyclists per residence zone?; (2) Do the two targets have common unobserved factors and spatial autocorrelations?; (3) Is there a way to analyze the hot zones for the two targets simultaneously? Therefore, the main objectives of this study are to answer these questions. This study aims to identify the contributing factors both for ‘Bicycle crashes per crash location ZIP code’ and ‘Crash-involved bicyclists per residence ZIP code area.’ Bayesian Poisson Lognormal Simultaneous Equation Spatial Error Model (BPLSESEM) was employed and revealed significant factors for the two target variables. Subsequently, a novel hot zone identification method was suggested to combine both hot zones from where vulnerable bicyclists originated with hot zones where many bicycle crashes occur. For the former zones, targeted safety education and awareness campaigns can be provided as countermeasures whereas area-wide engineering treatments and enforcement may be effective safety treatments for the latter ones. It is expected that practitioners can provide appropriate safety treatments for bicycle crashes using the method and results from this study. This is important because although there have been medical advancements for roadway trauma, prevention has remained the best solution for avoidance of fatalities.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Illustrations; Maps; References; Tables;
  • Pagination: 15p
  • Monograph Title: Proceedings of the 25th World Road Congress - Seoul 2015: Roads and Mobility - Creating New Value from Transport

Subject/Index Terms

Filing Info

  • Accession Number: 01715855
  • Record Type: Publication
  • ISBN: 9782840604235
  • Files: TRIS
  • Created Date: Jul 5 2019 1:29PM