  The possible unavailability of urban rail-based transport services due to
planned maintenance activities may have significant consequences on the
perceived quality of service, thus affecting railway attractiveness. To cope
with the mitigation of planned service interruptions and to guarantee a
seamless journey and a good travel experience for passengers, it is possible to
exploit the existing services differently and/or provide additional on-demand
services, such as temporary supplemental bus lines. In this context, this paper
aims to develop a mathematical programming model for planning service
interruptions due to maintenance considering passenger transport demand
dynamics. In particular, the proposed approach deals with service interruptions
characterized by a long duration for which timetable adaption strategies are
not applicable, suggesting mitigation actions that exploit the already existing
services and/or the activation of additional ones, with the aim of minimizing
users' inconvenience. In doing so, the planned infrastructure status (i.e.,
available or under maintenance), as well as the forecasted transport demand,
are taken into account to adapt the service accordingly by offering a
multimodal transport solution to passengers. To find the best solution, a
decomposition solution approach is proposed in combination with a multistage
cooperative framework with feedback that models the negotiation process between
the involved actors. Finally, the applicability of the proposed approach to
real case studies is discussed based on some performance indicators.
