An Analysis of Hybrid Management Strategies for Addressing Passenger Injuries and Equipment Failures in the Taipei Metro System: Enhancing Operational Quality and Resilience

An Analysis of Hybrid Management Strategies for Addressing Passenger Injuries and Equipment Failures in the Taipei Metro System: Enhancing Operational Quality and Resilience

This study is the first to systematically integrate supervised machine learning (decision tree) and association rule mining techniques to analyze accident data from the Taipei Metro system, conducting a large-scale data-driven investigation into both passenger injury and train malfunction events. Th...

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Bibliographic Details
Main Authors: Sung-Neng Peng, Chien-Yi Huang, Hwa-Dong Liu, Ping-Jui Lin
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
Taipei Metro system
decision tree
association rule mining technique
passenger injury
train malfunction event
Online Access:https://www.mdpi.com/2227-7390/13/15/2470
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