Cities worldwide have agreed on ambitious goals regarding carbon neutrality.To do so, policymakers seek ways to foster smarter and cleaner transportation solutions.However, citizens lack awareness of their carbon footprint and of greener mobility alternatives such as public transports.
Geological and hydrometeorological hazards affecting livestock production in Ethiopia: a systematic review of impacts, mitigation, and adaptation strategies
.With this, three main challenges emerge: (i) increase users’ awareness regarding their carbon footprint, (ii) provide personalized recommendations and incentives for using sustainable transportation alternatives and, (iii) guarantee that any personal data collected from the user is kept private.
This paper addresses these challenges by proposing a new methodology.
Investigation of Furrow Formation by Rotary Tillage Tools with an Active Drive
.Created under the FranchetAI project, the methodology combines federated Artificial Intelligence (AI) and Greenhouse Gas (GHG) estimation models to calculate the carbon footprint of users when choosing different transportation modes (e.g., foot, car, bus).
Through a mobile application that keeps the privacy of users’ personal information, the project aims at providing detailed reports to inform citizens about their impact on the environment, and an incentive program to promote the usage of more sustainable mobility alternatives