Cyclist crash severity modeling: A hybrid approach of XGBoost-SHAP and random parameters logit with heterogeneity in means and variances.

Journal: Journal of safety research
Published Date: Jul 1, 2025

Abstract

INTRODUCTION: Across the globe, policymakers are focusing on boosting sustainable transport options, notably cycling, to foster eco-friendly urban environments. However, the persistent safety challenges cyclists face continues to hinder these efforts.

Authors

  • Antonella Scarano
    University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125 Naples, Italy. Electronic address: antonella.scarano@unina.it.
  • Matin Sadeghi
    School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Filomena Mauriello
    University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125 Naples, Italy. Electronic address: filomena.mauriello@unina.it.
  • Maria Rella Riccardi
    University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125 Naples, Italy. Electronic address: maria.rellariccardi@unina.it.
  • Kayvan Aghabayk
    School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Alfonso Montella
    University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125 Naples, Italy. Electronic address: alfonso.montella@unina.it.

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