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Does free-floating carsharing reduce private vehicle ownership? The case of SHARE NOW in European cities

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TLDR
According to the results, all 11 cities show a reduced private car fleet due to members’ access to free-floating carsharing, and the main non-city specific influencing factor of shedding a private car due to the availability of the free- Floating Carsharing services seems to be the usage frequency of the service.
Abstract
During the last decade, the use of free-floating carsharing systems has grown rapidly in urban areas. However, little is known on the effects free-floating carsharing offerings have on car ownership in general. Also the main drivers why free-floating users sell their cars are still rarely analysed. To shed some light on these issues, we carried out an online survey among free-floating carsharing users in 11 European cities and based our analysis on a sample of more than 10,000 survey participants. Our results show that one carsharing car replaces several private cars - in optimistic scenarios up to 20 cars. In Copenhagen (followed by Rome, Hamburg, and London) one carsharing car replaces about two times more private cars than in Madrid, the city with the lowest number. The main non-city specific influencing factor of shedding a private car due to the availability of the free-floating carsharing services seems to be the usage frequency of the service. The more kilometres users drive with these cars, the more likely it becomes that they sell a private car (or they sell their car and, therefore, use this service more often). Further memberships of bikesharing and other carsharing services, users that live in larger buildings as well as users that own several cars are more likely to reduce their number of cars, too. Finally, our findings are highly valuable for carsharing operators and (transport) policy makers when introducing free-floating carsharing systems in further cities. According to our results, all 11 cities show a reduced private car fleet due to members' access to free-floating carsharing.

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Modeling competing free-floating carsharing operators: A case study for Zurich, Switzerland

TL;DR: This paper provides a first attempt to allow agents to make mode-choice decisions based on a discrete choice model that includes carsharing alternatives on a whole plan level and uses it to analyze the possible competition of two free-floating carharing companies in the city of Zurich, Switzerland.
Journal ArticleDOI

Carsharing: a systematic literature review and research agenda

TL;DR: In this article, the authors present a systematic multi-disciplinary literature review of carsharing, integrating insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.
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What role does free-floating car sharing play for changes in car ownership? Evidence from longitudinal survey data and population segments in Copenhagen

TL;DR: In this article, the authors look into characteristics of people who changed or did not change car ownership over time and how an increase or decrease relates to FFCS membership, demographic and attitudinal factors.
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Improving rural accessibility by locating multimodal mobility hubs

TL;DR: In this article, a decision support tool for locating multimodal mobility hubs to improve intermodal accessibility is presented, aiming at maximizing accessibility to workplaces and to places of private need.
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A multi-faceted characterization of free-floating car sharing service usage

TL;DR: An extensive characterization of the Free-Floating Car Sharing service usage in 23 cities in Europe and North America over a 14-month period is provided to help system managers assess the provided services’ profitability and sustainability from multiple perspectives.
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Sanford Weisberg, +1 more
TL;DR: This tutorial jumps right in to the power of R without dragging you through the basic concepts of the programming language.
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Multivariate Analysemethoden: Eine Anwendungsorientierte Einfuhrung

TL;DR: In this paper, 12 wichtige Verfahren der multivariaten Analysemethoden are discussed. Dies sind Regressions-, Varianz-, Diskriminanz-, Kontingenz-, Faktoren-, Cluster-, Korrespondenz-and logistische Regressionanalyse sowie Conjoint Measurement, Multidimensionale Skalierung, Strukturgleichungsmodelle (AMOS), and Neuronale Netze (CLEMENTINE).
Journal ArticleDOI

The sharing economy: : A pathway to sustainability or a nightmarish form of neoliberal capitalism?

TL;DR: In this paper, the authors present an analysis of the online sharing economy discourse, identifying that the sharing economy is framed as an economic opportunity; a more sustainable form of consumption; a pathway to a decentralised, equitable and sustainable economy; creating unregulated marketplaces; reinforcing the neoliberal paradigm; and, an incoherent field of innovation.
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Impact of Carsharing on Household Vehicle Holdings: Results from North American Shared-Use Vehicle Survey

TL;DR: In this paper, the authors present the results of a North American car-sharing member survey (N = 6,281) with a focus on carsharing's effects on household vehicle holdings and the aggregate vehicle population.
Journal ArticleDOI

What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm

TL;DR: In this paper, the authors discuss the environmental effects of a free-floating car-sharing system operating in Ulm, Germany, which allows users to take and leave vehicles at any point within the city limits.
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The more kilometres users drive with these cars, the more likely it becomes that they sell a private car (or they sell their car and, therefore, use this service more often).