Contributory factors to road pedestrian accidents in Hong Kong

Nang Ngai Sze, S. C. Wong, Becky P.Y. Loo, Hong K. Lo, W. T. Hung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This study applies logistic regression to analyze the pedestrian-vehicle crashes that were reported by the Transport Department and the police during 1991-2004, and to explore the influence of the demographic characteristics of the pedestrians involved, causes of accident, time of crash, accident location, presence of traffic control, road geometry, and environment on accidents that involve pedestrian casualties. We also control for the temporal effect by introducing time variates that account for the effect of changes in road infrastructure, traffic environment, and flow pattern over the concerned period. Both disaggregated and aggregated analyses are performed, and the accident characteristics, time of crash, accident location, traffic condition, and road geometry are found to be significant contributory factors to death and serious injury in a pedestrian-vehicle crash.
Original languageEnglish
Title of host publicationTransportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
Pages481-489
Number of pages9
Publication statusPublished - 1 Dec 2005
Event10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong
Duration: 10 Dec 200510 Dec 2005

Conference

Conference10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
Country/TerritoryHong Kong
CityKowloon
Period10/12/0510/12/05

Keywords

  • Injury severity
  • Logistic regression
  • Pedestrian casualties

ASJC Scopus subject areas

  • Automotive Engineering
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

Cite this