Print Email Facebook Twitter An explanatory model approach for the spatial distribution of free-floating carsharing bookings Title An explanatory model approach for the spatial distribution of free-floating carsharing bookings: A case-study of German cities Author Müller, Johannes (University of the Federal Armed Forces Munich) Correia, Gonçalo (TU Delft Transport and Planning) Bogenberger, Klaus (University of the Federal Armed Forces Munich) Date 2017-07-24 Abstract When the first free-floating carsharing operators launched their business, they did not know if it would be profitable. They often started in highly populated cities without performing extensive target group analysis, and were less concerned about fleet management. Usually, there are two main datasets that can be used to find areas that would have a high demand for free-floating carsharing: booking data, for measuring the actual demand; and land use and census data for describing the activities performed in different areas in a city. In this paper, we aim to use this information to help predict the demand of free-floating carsharing systems. We use booking data provided by Drive Now for Berlin in 2014 and contextual information about the type of activity each neighborhood has. Using Berlin as a case study, we apply a negative binomial statistical model to explain the number of bookings. From the results, we conclude that free-floating carsharing is predominantly successful in areas with more affluent citizens who are open to trying new and sustainable technologies. Other important determinants that result in a high number of carsharing bookings are the area's centrality and parking lot availability. The statistical model for Berlin was then transferred to Munich and Cologne, two other cities in Germany with similar population sizes. A comparison between the estimated demand categories and actual bookings shows satisfying results, but also non-negligible local conditions influencing the spatial demand for bookings. Subject Booking dataCarsharing demand analysisFree-floating carsharingNegative binomial modelSpatial analysis To reference this document use: http://resolver.tudelft.nl/uuid:21e99285-645b-41c1-ae67-94815ca4249b DOI https://doi.org/10.3390/su9071290 ISSN 2071-1050 Source Sustainability, 9 (7) Part of collection Institutional Repository Document type journal article Rights © 2017 Johannes Müller, Gonçalo Correia , Klaus Bogenberger Files PDF sustainability_09_01290_v2.pdf 10.23 MB Close viewer /islandora/object/uuid:21e99285-645b-41c1-ae67-94815ca4249b/datastream/OBJ/view