Evolution of transport under cumulative damage in metro systems

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