Urban mobility in transition?
In the first issue of matters we talk about recent developments in urban mobility markets looking at the example of free floating carsharing systems (FFC).
The study focuses on the evaluation of the traffic-related economic impact of free floating carsharing systems and the implications for city and traffic planning, mobility services and free-floating-carsharing-providers. This is the outcome of a worldwide collection and multilevel analysis of 115 million data points over a period of a year, using data from 18 million car rentals.
In the capital of carsharing, Berlin, the free-floating-systems achieve a modal split share of 0.1%.
Due to their small fleet sizes and low utilization rates, the existing free floating carsharing systems do not have a significant impact in their respective local markets und thus do not currently contribute directly to a solution for traffic problems in congested urban areas.
The peak in demand in free floating carsharing tends to be in after work traffic and for leisure travel.
Due to their small fleet sizes and low utilization rates, the existing free floating carsharing systems do not have a significant impact in their respective local markets und thus do not currently contribute directly to a solution for traffic problems in congested urban areas.
The free floating vehicles are used most often for short distances within and between popular districts of Berlin.
Due to their small fleet sizes and low utilization rates, the existing free floating carsharing systems do not have a significant impact in their respective local markets und thus do not currently contribute directly to a solution for traffic problems in congested urban areas.
Due to their small fleet sizes and low utilization rates, the existing free floating carsharing systems do not have a significant impact in their respective local markets und thus do not currently contribute directly to a solution for traffic problems in congested urban areas.
Sources
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The results of the study are based on civity’s own data. We collected, revised and analysed about 115 million datasets over one year (April 2013 to March 2014). Using this dataset about 18 million instances of car hiring were modelled.
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All maps were created using the Open Source GIS-Software “QGIS 2.4” (www.qgis.org).
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In addition the plugin “MMQGIS” was used for creating the hexagon maps (michaelminn.com).
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The administrative borders are taken from the “Amt für Statistik Berlin-Brandenburg” (daten.berlin.de).