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Space-time analysis of accident frequency and the role of built environment in mitigation

  • Ali Soltani
  • , Mohsen Roohani Qadikolaei

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
46 Downloads (Pure)

Abstract

The focus of this paper is to analyze the trends and locations of accidents in the Greater Melbourne Area (GMA) during a 15-year period (2006–2020). The places where accidents were most prevalent were discovered and the reasons which are contributing to the high accident rates in those areas are determined. Analyzing the patterns over time and variations in the frequency of accidents helped to identify areas that have improved or deteriorated in terms of road safety. A Tweedie model was developed to examine the intricate interaction between the accident frequency and its potential contributing factors such as socio-demographics, road transport infrastructure, and built environment. Ultimately, a clustering analysis was performed to elucidate the dispersion of road accident risk ratings among different local government areas (LGAs), offering useful insights into road safety initiatives and prioritization.

Original languageEnglish
Pages (from-to)189-205
Number of pages17
JournalTransport Policy
Volume150
Early online date7 Mar 2024
DOIs
Publication statusPublished - May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Melbourne
  • Policy priority
  • Road accidents
  • Road safety
  • Space-time analysis
  • Trend analysis

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