A decision support system for collaborative management of multimodal public transport services

A set of processes, including the collection of heterogeneous data and in-depth knowledge on multiple dimensions, are required to enhance multimodal public transport services and address traveller needs in an effective and efficient way. The main purpose of this paper is to use reliability data to drive the planning and operationalisation of a multimodal metropolitan-wide network of public transport, covering the needs of authorities, transport providers and travellers. This will be achieved by a methodology using data from current public transport lines and design process to find the best combination of hubs, stops and connections, fully controlled by the transport authority and with the assistance of transport providers. The expect result is a more "predictable" network that maximises schedule reliability, while providing better information for travellers.