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Towards safer and more equitable pedestrian crossing siting: a GIS-multi criteria decision analysis approach

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  • Ballantyne, Patrick Dr.

    (University of Liverpool)

  • Cabrera, Carmen

    (University of Liverpool)

  • Garofani, Giada
  • Singleton, Alex

Abstract

The strategic placement of pedestrian crossings is critical for promoting road safety in urban environments. While previous research has used Geographic Information Systems (GIS) to identify underserved areas, existing approaches often fail to integrate empirical data with stakeholder expertise, or directly link road safety concerns with wider spatial equity considerations. This study develops a novel GIS-Multi Criteria Decision Analysis (GIS-MCDA) framework to evaluate the suitability of sites for new pedestrian crossings, incorporating four key criteria: existing provision of pedestrian infrastructure, road safety risks, proximity to urban amenities, and socio-demographic vulnerability. Applied to Liverpool City Region as a policy case study, the framework integrates advanced spatial analysis techniques with stakeholder informed weights, to assess the suitability of postcodes for new pedestrian crossings. Site suitability scores are generated which reflect both the considerations relevant to key stakeholders, as well as the distribution of controlled pedestrian crossings, road traffic collisions, urban amenities and census-derived vulnerability indicators. The results reveal significant spatial inequalities where, specific locations with high socio-demographic vulnerability also experience the greatest road safety risks and poorest access to pedestrian crossings, despite proximity to essential services. The framework successfully pinpoints priority locations where road safety and spatial inequality concerns compounded negatively, providing evidence-based guidance for data-driven, stakeholder-informed pedestrian infrastructure investment.

Suggested Citation

  • Ballantyne, Patrick Dr. & Cabrera, Carmen & Garofani, Giada & Singleton, Alex, 2025. "Towards safer and more equitable pedestrian crossing siting: a GIS-multi criteria decision analysis approach," SocArXiv z456t_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:z456t_v1
    DOI: 10.31219/osf.io/z456t_v1
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    References listed on IDEAS

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