Emission-reducing deployment of shared office networks
le 2 décembre 2022
Matthieu Mastio
Manufacture des Tabacs, bâtiment F (Salle MF105) 12h45-13h30
Manufacture des Tabacs
We propose a step by step method based on publicly available data to design a master plan optimizing the number of coworking spaces to deploy in a given area, as well as their placements across the territory. We aim to develop a systemic approach with the objective of reducing GHG emissions from commuting. We design and implement a decision model that describes when a person would choose to work in a shared office and which transport mode they would use. Then, we propose two methods that work on different scales and complement each other. The first one is on a macroscopic level, where we collect and preprocess population data to convert them into an exploitable form and perform an optimization of the co-working spaces placement to maximize the gains in terms of traveled distance, using a linear solver and heuristic algorithms. In the second method, we create a synthetic population and perform a mesoscopic traffic simulation of the observed territory with MATSim, before and after the addition of the co-working places. This allows us to observe how the users would adapt their activity chains and to analyze the impact on the traffic and the usage of different facilities.
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