Nicolas Foissaud

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 : Developed a model for the evolution of the vehicle fleet and associated energy consumption. Analyzed energy transition scenarios “Futurs Energétiques 2050” and “Transition(s) 2050” and their implications for the transport sector.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 : Conducted a carbon impact modeling study of French electricity consumption. Using hourly data on electricity production, consumption, imports, and exports, the corresponding hourly emission factors for each variable were reconstructed. The analysis covered the period from January 1, 2016, to December 31, 2019 — a total of 35,060 hours of data. The results show that emission factor levels for electricity consumption vary more according to gaps between production and consumption than to the consumption level itself.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 : Led a working group tasked with writing a scientific report as part of the ORNISIM research project — a scooter driving simulator compiling two years of research on e-scooter movement patterns and public space usage in Paris. Work conducted in parallel with the Master’s program in TraDD.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 : Conducted a study on electric scooter movements in dense urban areas (confidential), based on nearly 36 million GPS data points. Performed a second study on the spread of a pathogen within a shared mobility fleet in Paris and Bordeaux: Norovirus, responsible for 80% of viral gastroenteritis in France & SARS-CoV-2, responsible for COVID-19. 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝘁𝗼 𝗮 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 : Valero, Y., Antonelli, A., Christoforou, Z., Farhi, N., Kabalan, B., Gioldasis, C., & Foissaud, N. (2020). Adaptation and calibration of a social force based model to study interactions between electric scooters and pedestrians. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-7). IEEE. 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝗻𝗴 𝗼𝗳 𝗮 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝘀𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸 : Foissaud, N., Gioldasis, C., Tamura, S., Christoforou, Z., & Farhi, N. (2022). Free-floating e-scooter usage in urban areas: A spatiotemporal analysis. Journal of Transport Geography, 100, 103335.