Evolution of transport under cumulative damage in metro systems

TL;DR

This paper investigates how damage accumulation affects the functionality of 33 metro systems worldwide, modeling transport capacity loss through stochastic damage and Monte Carlo simulations to classify system resilience.

Contribution

It introduces a stochastic network model to analyze the progressive deterioration of metro systems under damage, providing a framework for assessing transport capacity loss.

Findings

Monte Carlo simulations reveal diverse damage evolution patterns.

The framework classifies metro systems based on resilience to damage.

Results help in understanding and improving transport system robustness.

Abstract

One dominant aspect of cities is transport and massive passenger mobilization which remains a challenge with the increasing demand on the public as cities grow. In addition, public transport infrastructure suffers from traffic congestion and deterioration, reducing its efficiency. In this paper, we study the capacity of transport in 33 worldwide metro systems under the accumulation of damage. We explore the gradual reduction of functionality in these systems associated with damage that occurs stochastically. The global transport of each network is modeled as the diffusive movement of Markovian random walkers on networks considering the capacity of transport of each link, where these links are susceptible to damage. Monte Carlo simulations of this process in metro networks show the evolution of the functionality of the system under damage considering all the complexity in the transportation structure. This information allows us to compare and classify the effect of damage in metro systems. Our findings provide a general framework for the characterization of the capacity to maintain the transport under failure in different systems described by networks.