Sustainable mobility is today a central theme in the strategic agenda of policy-makers, public managers, and global institutions (e.g. World Bank Committee for Sustainable Development). A sustainable mobility system (SMS) is a socio-technical system which ensures the mobility right within, outside and among cities, without impacting negatively the society in terms of externalities such as atmospheric and acoustic pollution, traffic congestion and accidents. The problem is strongly interdisciplinary and domains like urban planning, engineering, architecture, computer science, economics and business management, operations research and service engineering can contribute to define effective and innovative solutions. A SMS enables persons, ideas and knowledge to move effectively, resulting in a more “intelligent” model of city which enhances the creativity, learning and innovation potential of its citizens. The adoption of a collective intelligence approach to design and realize a sustainable mobility system ensures that social value and individual interests are preserved. At this purpose, this paper provides a holistic framework to support the design of a SMS, and an operational roadmap with a set of guidelines for supporting the implementation in policy decision making settings.
Design of Sustainable Mobility Services in Intelligent Cities: a Framework based on Collective Intelligence
MARGHERITA, ALESSANDRO;ELIA, Gianluca;SECUNDO, Giustina;PASSIANTE, Giuseppina
2011-01-01
Abstract
Sustainable mobility is today a central theme in the strategic agenda of policy-makers, public managers, and global institutions (e.g. World Bank Committee for Sustainable Development). A sustainable mobility system (SMS) is a socio-technical system which ensures the mobility right within, outside and among cities, without impacting negatively the society in terms of externalities such as atmospheric and acoustic pollution, traffic congestion and accidents. The problem is strongly interdisciplinary and domains like urban planning, engineering, architecture, computer science, economics and business management, operations research and service engineering can contribute to define effective and innovative solutions. A SMS enables persons, ideas and knowledge to move effectively, resulting in a more “intelligent” model of city which enhances the creativity, learning and innovation potential of its citizens. The adoption of a collective intelligence approach to design and realize a sustainable mobility system ensures that social value and individual interests are preserved. At this purpose, this paper provides a holistic framework to support the design of a SMS, and an operational roadmap with a set of guidelines for supporting the implementation in policy decision making settings.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
