| Summary: | The authors employ a set of transportation strategies to their testbed city which they evaluate against each other for key performance measures. The authors consider shared and non-shared smart mobility on-demand with or without mass transit. They also consider vehicle restriction strategies, specifically the ban of gasoline powered internal combustion engine vehicles. The authors use an integrated agent-based urban simulator, SimMobility, to simulate these strategies across the scenario sample. The resulting futures are then evaluated for activity-based accessibility, energy consumption and network performance measures. This work is novel in the academic literature by combining personal accessibility metrics to energy consumption when simulating urban mobility.
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