The transport sector plays a crucial role in the social and economic development of our society. Nevertheless, it is responsible for one quarter of the global CO2 emission worldwide. Although sustainable mobility could drastically reduce transport-related emissions, its adoption is still underdeveloped. In this paper, an impact innovation methodology has been used to generate a solution that could boost sustainable mobility development by creating an efficient offline tracking method that combines transactions and GPS data. The results suggest that incentive-based solutions could increase the adoption of sustainable mobility. This study generates the basis for the development of a sophisticated algorithms, able to track mobility and to incentivize people’s sustainable habits.
Incentivizing sustainable mobility through an impact innovation methodology / Ricci, Luca; Palmieri, Pierpaolo; Ruberto, Angela Giulia; Rocchetti, Leonardo; Timossi, Isabella; Pirrotta, Domenico; Sala, Matteo. - In: CERN IDEASQUARE JOURNAL OF EXPERIMENTAL INNOVATION. - ISSN 2413-9505. - ELETTRONICO. - 4:2(2020), pp. 25-29. [10.23726/CIJ.2020.1055]
Incentivizing sustainable mobility through an impact innovation methodology
Ricci, Luca;Palmieri, Pierpaolo;
2020
Abstract
The transport sector plays a crucial role in the social and economic development of our society. Nevertheless, it is responsible for one quarter of the global CO2 emission worldwide. Although sustainable mobility could drastically reduce transport-related emissions, its adoption is still underdeveloped. In this paper, an impact innovation methodology has been used to generate a solution that could boost sustainable mobility development by creating an efficient offline tracking method that combines transactions and GPS data. The results suggest that incentive-based solutions could increase the adoption of sustainable mobility. This study generates the basis for the development of a sophisticated algorithms, able to track mobility and to incentivize people’s sustainable habits.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2872840