SERVICE POLICY OPTIMIZATION FOR URBAN PUBLIC TRANSPORT NETWORKS: MOBILITY CONSTRAINTS DURING HEALTH EMERGENCY OF PANDEMIC CYCLES
Visión General
Visión General
Abstracto
This work presents an approach to model the behaviour of urban public transport networks for optimizing the service policy, which includes the effect of mobility constraints on health emergency for pandemic cycles. During health emergencies, local governments strongly use two regulatory policies for contain a disease spreading: (i) social distancing and (ii) restriction of social interaction; these regulatory policies thoroughly affect the urban mobility. We propose the optimization of a stochastic discrete-event model based on a passenger demand analysis by means: (i) a numeric model of a multimodal network considering interdependencies and asymmetries of passengers; (ii) an integration of the regulatory policies for health emergency; and (iii) a process for optimizing the passengers waiting time cost. This work is applied to an actual metropolitan transport network comprised of metro, tramway, and ropeway lines.
