Investigation the willingness to adopt and use of innovative mobility options (EV, AV and MaaS) and integrating them into multi- horizon activity based model (MHABM) would be our contribution.
(MHABM) would allow us first to scale up the effect of innovation and technology (in transport modes) for the whole country and second would enable evaluating the effectiveness of various policy options for different population segments, various geographic areas in fine temporal and spatial granularity.
That is an individual based model which by definition empowers the analysts and policy makers to take into consideration the citizens reactions to planning and policies. MHABM can be linked to emission models to translate any policies into emission.
What had been missing in many previous studies regarding the future uptake and acceptance of mobility- related technology and their consequences for the society was the isolation of researchers in the mobility field from their peers in energy and technological domain. Such isolation would limit the comprehensiveness (and therefore the full effect) of the solutions proposed. For instance in our solution regarding the optimum location of EV- charging stations we incorporated citizens travel behavior (including charging behavior) and went for minimizing the distance and maximizing the coverage (of each charging station). The solution could be more effective if, for instance, the grid capacity (and temporal fluctuation) and likely future charging technology (for the speed of charging and battery capacity) would be considered as well. NEON has many related disciplines on board which would facilitate the collaboration