Although behavioral nudging has been often used as a method to promote sustainable choices, its application is quite limited in the field of active mobility. BICIFICATION project nudged urban cycling through a gamification and rewarding scheme in Braga, Istanbul and Tallinn during 2022._x000D_
The scheme was based on a TRL9 antifraud system (hardware and software) patented by Pin Bike to certify, monitor, and reward urban bike rides. Local authorities rewarded urban cyclists with monetary vouchers to be spent in local shops. Cities benefited from valuable cycling data collected for both evaluating already existing mobility measures and infrastructures and investing in data-driven policies. BICIFICATION addressed the cross-cutting themes of inclusion and accessibility, since citizens were able to cooperate through the app on the creation of local maps pinning cycling-relevant infrastructure and to send reports about infrastructure related barriers (e.g., damaged road signs). The project engaged about 1,500 users in 3 different cities, saving more than 133 tons of CO2 in 6 months and spending more than 85,000 euros in local shops. Additionally, more than 90% of the users stated that they will continue cycling after the end of the monetary rewards provided by the project. _x000D_
The aim of this paper is to present the quantitative (KPIs based) and qualitative (users questionnaires based) assessment as well as the additional data analysis results that were carried out within the project. _x000D_
The correlation between trip, weather and socio-demographic data provided valuable knowledge that can be used to target vulnerable groups and/or to enhance the cycling incentives for bad weather days. By integrating these results into their strategies, cities can more efficiently design and implement future actions and investments to successfully promote greener and more active mobility, ensuring high levels of cycling throughout the year._x000D_

Maria Konstantinidou (a), Josep Maria Salanova Grau (a), Annarita Leserri (b), Fariya Sharmeen (c), Matt Davoudizavareh (c)
(a): Centre for Research and Technology Hellas/CERTH-Hellenic Institute of Transport/HIT, (b): PinBike, (c): KTH Royal Institute of Technology

 
ID Abstract: 501