Abstract
Abstract. Transport planning and mobility management is nowadays of paramount importance, particularly in the urban context where innovative, sustainable, smart, and green mobility solutions are required to satisfy the citizen’s needs. Such ambitious objective requires a multidisciplinary research approach to address the problem from different perspectives from urban and geographical analysis to social studies including 3D mapping and urban infrastructure analysis. To collect and manage huge amount of data acquired and produced, big data and IOT/IOE technologies are exploited together with 3D city digital twin representations of the urban scenario to simulate, plan and evaluate urban policies and guide the urban development of the future. In this paper, the activities that will be carried out by an interdisciplinary group of researchers of the University of Florence, within the sustainable mobility centre (MOST), are presented and discussed.
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