This dataset contains results from the mFund project “allyMAP”.
Included are input parameters and simulation results of on-demand ride pooling scenarios with different parameters (vehicle number, operating area, operating period, etc.) in Berlin. The data base for the simulations was the demand data collected in the spring as part of the pilot operation “allygator shuttle” (these are provided here in a separate dataset).
Two different potential pilot areas were analysed (regardless of the actual district boundaries): “Friedrichshain-Kreuzberg” and “Tempelhof-Neukölln”. The expansion of these areas is derived from the additional polygons in GeoJSON format.
The German-language column description (ODS or PDF) contains a more detailed explanation of the individual parameters and key figures.
The result shows the impact of different operating parameters on the performance of on-demand mobility services in terms of different indicators (pooling rate, availability, number of passengers transported, etc.).
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