A VR-Based Training and Assessment Framework for Operational Resilience in Urban Metro Systems

10 pages•Published: June 2, 2026

Shiqi Chen, Jing Wen, Ningshuang Zeng, Javier Irizarry and Qiming Li

Abstract

Resilience theory is central to the planning and operation of critical infrastructure, but its concepts are difficult to teach and assess in practice. This study presents an experimental VR-based instructional framework that makes resilience design concrete for metro emergency response. The study details the scenario design, logging scheme, and analysis pipeline. The framework develops a chain from observation indicators to outcome evaluation. Aligned with National Fire Protection Association 130 (NFPA 130) procedures, records a set of task times, operational accuracy, sequence adherence, and critical-error flags in a two-space scenario. These indicators are normalized to fixed criteria, mapped to resilience attributes, and aggregated into capability outcomes. The method is designed for facility and equipment management education and for workforce training. It provides objective grading, transparent feedback, and cohort performance.

Keyphrases: emergency training, facility and equipment management, system resilience, urban metro system, virtual reality education

In: Wesley Collins, Anthony Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 62nd Annual International Conference, vol 7, pages 137-146.

Links:	https://easychair.org/publications/paper/1tqL
	https://doi.org/10.29007/ss9z

BibTeX entry

@inproceedings{ASC2026:VR_Based_Training_Assessment,
  author    = {Shiqi Chen and Jing Wen and Ningshuang Zeng and Javier Irizarry and Qiming Li},
  title     = {A VR-Based Training and Assessment Framework for Operational Resilience in Urban Metro Systems},
  booktitle = {Proceedings of Associated Schools of Construction 62nd Annual International Conference},
  editor    = {Wesley Collins and Anthony Perrenoud and John Posillico},
  series    = {EPiC Series in Built Environment},
  volume    = {7},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/1tqL},
  doi       = {10.29007/ss9z},
  pages     = {137-146},
  year      = {2026}}

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