Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems

Free-floating carsharing systems with (and without) electric vehicles are emerging and there is limited knowledge where such concepts will succeed, regardless of their environmental benefits. Within this knowledge gap, the definition of the business/operating area is a key aspect. Inside this area a carsharing vehicle can be picked-up and dropped-off everywhere at any time. This research develops a model that helps to determine business areas a-priori by predicting inner-city booking hot-spots. The approach is based on modeling success factors as independent variables, namely population density, housing rent, city center distance, and hotel/restaurant density. With the help of these variables predictions for geographic zones in cities are made that prove to be helpful for designing operating areas for free-floating carsharing systems – a key challenge for providers' success when approaching new cities.

[1]  Heiko A. von der Gracht,et al.  Heading towards a multimodal city of the future , 2014 .

[2]  Klaus Bogenberger,et al.  Analyzing External Factors on the Spatial and Temporal Demand of Car Sharing Systems , 2014 .

[3]  Barbara Wejnert Integrating models of diffusion of innovations: a Conceptual Framework. , 2002 .

[4]  Jessica ter Schure,et al.  Car-Sharing: Where and How It Succeeds , 2005 .

[5]  P Muheim,et al.  Carsharing: the key to combined mobility , 1999 .

[6]  Susan Shaheen,et al.  Carsharing and Personal Vehicle Services: Worldwide Market Developments and Emerging Trends , 2013 .

[7]  Randy B Machemehl,et al.  Free-floating carsharing systems : innovations in membership prediction, mode share, and vehicle allocation optimization methodologies , 2012 .

[8]  Karl W. Steininger,et al.  Car-sharing organizations : The size of the market segment and revealed change in mobility behavior , 1996 .

[9]  Adam Millard-Ball,et al.  Where Does Carsharing Work? , 2007 .

[10]  Charles Neame,et al.  Towards a contemporary approach for understanding consumer behaviour in the context of domestic energy use , 2007 .

[11]  Katherine Kortum,et al.  Driving Smart: Carsharing Mode Splits and Trip Frequencies , 2014 .

[12]  J. Schira Statistische Methoden der VWL und BWL : Theorie und Praxis , 2007 .

[13]  E. Rogers Diffusion of Innovations , 1962 .

[14]  Aruna Sivakumar,et al.  The Market and Impacts of New Types of Carsharing Systems: Case Study of Greater London , 2013 .

[15]  Adam Millard-Ball,et al.  Who Is Attracted to Carsharing , 2006 .

[16]  Simone Weikl,et al.  Relocation Strategies and Algorithms for Free-Floating Car Sharing Systems , 2012, IEEE Intelligent Transportation Systems Magazine.

[17]  Susan Shaheen,et al.  Carsharing and the Built Environment , 2009 .