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No street is an Island: Street network morphologies and traffic safety

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  • An, Zihao
  • Xie, Bo
  • Liu, Qiyang

Abstract

Network morphological analysis has emerged as a tool to quantify street network structures, providing a nuanced foundation for evaluating their impacts on traffic safety. Yet, there is a lack of disaggregate-level evidence on the spillover effects and spatial heterogeneity of these impacts. This research conducts a comprehensive, disaggregate-level, multi-scale examination on the overall impacts of street network morphologies on traffic safety. Our study focuses on the frequency of traffic injury collisions over a five-year period across more than 190,000 street links in Greater London. We characterise street-link morphologies at local (0–1 km), meso (0–3 km), and city (0–8 km) scales using a spatial design network analysis. For each spatial scale, we apply extended auto-negative binomial models to examine the overall impact of street-link morphological characteristics on the injury collision frequency, considering both the link being investigated and other surrounding links determined by the spatial scale.

Suggested Citation

  • An, Zihao & Xie, Bo & Liu, Qiyang, 2023. "No street is an Island: Street network morphologies and traffic safety," Transport Policy, Elsevier, vol. 141(C), pages 167-181.
    • Handle: RePEc:eee:trapol:v:141:y:2023:i:c:p:167-181
    DOI: 10.1016/j.tranpol.2023.07.023
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