Investigation on the injury severity of drivers in rear-end collisions between cars using a random parameters bivariate ordered probit model

• Record URL:
  • https://doi.org/10.3390/ijerph16142632
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16617827
• Authors:
  • Chen, Fei
  • Song, M
  • Ma, X
• Publication Date: 2019

Language

• English

Media Info

• Pagination: Article ID 2632
• Serial:
  • International Journal of Environmental Research and Public Health
  • Volume: 16
  • Issue Number: 14
  • Publisher: Molecular Diversity Preservation International
  • ISSN: 1661-7827
  • EISSN: 1660-4601
  • Serial URL: http://www.mdpi.com/journal/ijerph
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Drivers; Evaluation; Injury severity; Probits; Rear end crashes
• ATRI Terms: Driver; Evaluation; Injury severity; Probit model; Rear end crash

Filing Info

• Accession Number: 01714707
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ATRI
• Created Date: Aug 26 2019 11:22AM