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Incident Analysis in Micromobility Spaces at Metro Stations: A Case Study in Valparaíso, Chile

Author

Listed:
  • Sebastian Seriani

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Vicente Aprigliano

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Catalina Toro

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Gonzalo Rojas

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Felipe Gonzalez

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Alvaro Peña

    (Escuela de Ingeniería de Construcción y Transporte, Pontifica Universidad Católica de Valparaíso, Valparaíso 2362804, Chile)

  • Kamalasudhan Achuthan

    (Faculty of Civil, Environmental and Geomatic Engineering, University College London, Chadwick Building, Gower St., London WC1E 6BT, UK)

Abstract

This study analyzes passenger incidents in metro stations and their relationship with safety in Valparaiso, Chile. The primary aim is to examine how factors such as station design, passenger flow, and weather conditions influence the frequency and types of incidents in various micromobility spaces within metro stations. A comprehensive data analysis was conducted using records from the Valparaiso Metro between 2022 and 2023. During this period, approximately 500 incidents were documented, providing a substantial dataset for identifying incident patterns and correlations with contributing factors. The analysis revealed that incidents are significantly influenced by peak-hour conditions and weekdays. The platform–train interface emerged as the most complex space for incident occurrences. Specifically, the study found that crowded conditions inside trains during morning and evening rush hours contribute substantially to incidents. In other station spaces, incidents were closely linked to the station type and the presence of stair access. Conversely, stations designed with more accessible features appeared to have fewer incidents. Future studies will expand on this framework by incorporating additional factors and analyzing new data to develop a more comprehensive understanding of incident dynamics.

Suggested Citation

  • Sebastian Seriani & Vicente Aprigliano & Catalina Toro & Gonzalo Rojas & Felipe Gonzalez & Alvaro Peña & Kamalasudhan Achuthan, 2024. "Incident Analysis in Micromobility Spaces at Metro Stations: A Case Study in Valparaíso, Chile," Sustainability, MDPI, vol. 16(23), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10483-:d:1532911
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    References listed on IDEAS

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    5. Yingying Xing & Shengdi Chen & Shengxue Zhu & Jian Lu, 2020. "Analysis Factors That Influence Escalator-Related Injuries in Metro Stations Based on Bayesian Networks: A Case Study in China," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
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