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Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model
Hong En Tan1, Jeremy Hong Wen Oon1, Nasri Bin Othman1
1Systems Science Dept, Institute of High Performance Computing, A*STAR, Singapore, Singapore.
Plos One
|April 28, 2022
Summary
This study introduces a composite resilience score for rapid transit systems, crucial for transport planning. The method quantifies disruptions, aiding in evaluating network resilience and planning future infrastructure.
Area of Science:
- Transportation Science
- Network Analysis
- Urban Planning
Background:
- Assessing the impact of disruptions on rapid transit resilience is vital for effective transport planning.
- Existing methods may not holistically capture the multifaceted nature of transit system resilience.
Purpose of the Study:
- To develop a composite resilience score for rapid transit systems.
- To provide a quantitative method for assessing network resilience under various scenarios.
- To enable comparisons between different transit configurations and demand levels.
Main Methods:
- Developed a weighted network model incorporating station structure, line capacities, and travel demand.
- Defined a composite resilience score based on four key indicators of physical resilience.
- Applied the methodology to Singapore's rapid transit system and conducted simulated studies.
Main Results:
- The composite resilience score effectively captures the impact of planned rail expansions on system resilience.
- Identified tipping points in resilience associated with variations in travel demand.
- Demonstrated that redistributing demand can unintentionally decrease system resilience.
Conclusions:
- The proposed composite resilience score offers a holistic assessment of rapid transit network resilience.
- The methodology is adaptable for evaluating other rapid transit systems globally.
- Findings inform transport planning by highlighting the importance of demand management and infrastructure design for resilience.
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