Dynamic map decision support systems for spatial and mobility planning

Decision Support Systems (DSS) are widely recognized as important tools supporting decision making processes, quite little adopted yet to support sustainable spatial and mobility planning, despite a wide range of literature arising at the turn of the Millennium on Spatial Decision Support Systems (SDSS). This is the case of the e.INS project, which addresses critical challenges in spatial and mobility planning in Sardinia Region (Italy) and provides a methodological approach to develop a sustainable transport model by MaaS solutions. The objective is to propose a DSS architecture to support the Sardinia MaaS, integrating geo datasets relating mainly to demographic and socio-economic aspects, the supply of key services and the provision and demand of transport, the spatial distribution of tourist flows and related externalities to offer a holistic perspective on local and regional transport needs, opportunities, and gaps. Developed using geospatial technologies, the system's operational core is a dynamic dashboard that visualizes key data and performance metrics. The proposed methodology is functional to build a collaborative framework for the DSS, enabling users to update and manage data through a user-friendly interface, thus ensuring its continued relevance and accuracy. This allows local authorities and transport operators to monitor, analyze, and make informed decisions. The system supports the development of a more sustainable, inclusive, and efficient mobility network, ultimately contributing to a smarter future for Sardinia Region.