Mobility has a great impact in the economy of the city; transport systems consequently represent not only the infrastructure thanks by all places are completely integrated in the world networks, but also an intermediate in the enhancement of prosperity (European Commission, 2011). Innovation may highly contribute to change the urban mobility in a more efficient way (European Commission, 2007) developing new urban models, capable to optimize the urban resources of the city and to generate smart environments. The smart city paradigm, through the adoption of Intelligent Transport Systems (ITS) creates integration, interoperability and interconnection between various infrastructure networks and, thanks to the advance in the Information and Communication Technology (ICT) it produces a great amount of very accurate data. These data are at the disposal of users and services managers, permitting them to dynamically manage the urban public and private transportation and to built more detailed mobility flows analysis. All that cooperates in the recognition of critical nodes and patterns of users through the city and engages the development of mid-long term strategies. Furthermore the pervasiveness of ICTs develops a context aware environment where users may act in a more informed way, proactively responding with the transport systems' states and flows. Consequently the smart city model promotes not only the creation of interactive, interconnected and interoperable urban infrastructures, but it also involves a powerful changes into citizens' behavior, meeting the challenge of a novel urban smart transformation. This contribution aims at first to reflect on the modes of creating processes that may affect the formation of a smart urban environment through an active contribution of the people that are involved in. Secondly, it sets down a methodology to uncover the different users' typologies, relating these results to the improvement to more specific strategies and actions.

Smart mobility awareness in the urban context

SINI, STEFANIA
2012-01-01

Abstract

Mobility has a great impact in the economy of the city; transport systems consequently represent not only the infrastructure thanks by all places are completely integrated in the world networks, but also an intermediate in the enhancement of prosperity (European Commission, 2011). Innovation may highly contribute to change the urban mobility in a more efficient way (European Commission, 2007) developing new urban models, capable to optimize the urban resources of the city and to generate smart environments. The smart city paradigm, through the adoption of Intelligent Transport Systems (ITS) creates integration, interoperability and interconnection between various infrastructure networks and, thanks to the advance in the Information and Communication Technology (ICT) it produces a great amount of very accurate data. These data are at the disposal of users and services managers, permitting them to dynamically manage the urban public and private transportation and to built more detailed mobility flows analysis. All that cooperates in the recognition of critical nodes and patterns of users through the city and engages the development of mid-long term strategies. Furthermore the pervasiveness of ICTs develops a context aware environment where users may act in a more informed way, proactively responding with the transport systems' states and flows. Consequently the smart city model promotes not only the creation of interactive, interconnected and interoperable urban infrastructures, but it also involves a powerful changes into citizens' behavior, meeting the challenge of a novel urban smart transformation. This contribution aims at first to reflect on the modes of creating processes that may affect the formation of a smart urban environment through an active contribution of the people that are involved in. Secondly, it sets down a methodology to uncover the different users' typologies, relating these results to the improvement to more specific strategies and actions.
2012
9788856875973
Smart mobility; Smart people
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/63300
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