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.

Mobile mapping to support an integrated transport-territory modelling approach / Alberti, F.; Alessandrini, A.; Bubboloni, D.; Catalano, C.; Fanfani, M.; Loda, M.; Marino, A.; Masiero, A.; Meocci, M.; Nesi, P.; Paliotto, A.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - ELETTRONICO. - XLVIII-1/W1-2023:(2023), pp. 1-7. [10.5194/isprs-archives-XLVIII-1-W1-2023-1-2023]

Mobile mapping to support an integrated transport-territory modelling approach

Alberti, F.;Alessandrini, A.;Bubboloni, D.;Catalano, C.;Fanfani, M.;Loda, M.;Masiero, A.;Meocci, M.;Nesi, P.;Paliotto, A.
2023

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.
2023
XLVIII-1/W1-2023
1
7
Goal 11: Sustainable cities and communities
Goal 9: Industry, Innovation, and Infrastructure
Alberti, F.; Alessandrini, A.; Bubboloni, D.; Catalano, C.; Fanfani, M.; Loda, M.; Marino, A.; Masiero, A.; Meocci, M.; Nesi, P.; Paliotto, A....espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1345667
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