EAI Endorsed Transactions on Ambient Systems 14(4): e1

Editorial

Welcome message for the Special Issue "USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility"

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  • @ARTICLE{10.4108/amsys.1.4.e1,
        author={Silvia Gabrielli  and Stefania Castellani  and Antti Jylha  and Jutta  Willamowski},
        title={Welcome message for the Special Issue "USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility"},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={14},
        number={4},
        publisher={ICST},
        journal_a={AMSYS},
        year={2014},
        month={10},
        keywords={Urban Mobility, Sustainable Commuting, Game Mechanics, Behavior Change, Sustainable HCI, Persuasive Sustainability},
        doi={10.4108/amsys.1.4.e1}
    }
    
  • Silvia Gabrielli
    Stefania Castellani
    Antti Jylha
    Jutta Willamowski
    Year: 2014
    Welcome message for the Special Issue "USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility"
    AMSYS
    ICST
    DOI: 10.4108/amsys.1.4.e1
Silvia Gabrielli 1,*, Stefania Castellani 2, Antti Jylha 3, Jutta Willamowski2
  • 1: CREATE-NET, Trento, Italy
  • 2: Xerox Research Centre Europe
  • 3: University of Helsinki, Finland
*Contact email: silvia.gabrielli@create-net.org

Abstract

Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard challenge. In this Special Issue of the EAI Endorsed Transactions on Ambient Systems, we present a selection of high-quality papers presented at the workshop on “Urban Sustainable, CollaboratIve, and Adaptive MObility” (USCIAMO), held at the COOP 2014 Conference. The articles address different topics related to the design and deployment of innovative systems and techniques for behavior change in the domain of sustainable mobility, from gamification models and mechanics to encourage sustainable travel behavior to segmentation techniques for personalizing mobility behavior interventions, from participatory design of sustainable mobility applications to innovative frameworks for sustainable commuting at work and transport mode detection.