Free-Floating Carsharing: City-Specific Growth Rates and Success Factors

Kortum, Katherine; Schönduwe, Robert; Stolte, Benjamin; Bock, Benno

doi:10.1016/j.trpro.2016.12.092

Cited by 58 publications

(26 citation statements)

References 7 publications

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“…describe why people choose certain transportation modes over others. Service quality; infrastructure conditions; time and cost constraints; population, residential, and workplace densities; street design; and distance to public transit nodes all contribute to mode choice (Rode et al 2017;Kortum et al 2016;Ciari and Becker 2017;Clark, Chatterjee, and Melia 2016;Karim 2017).…”

mentioning

confidence: 99%

Shared mobility and urban form impacts: a case study of peer-to-peer (P2P) carsharing in the US

Shaheen

Hoffman-Stapleton

2019

Journal of Urban Design

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This paper advances the understanding of peer-to-peer (P2P) carsharing within the broader context of shared mobility and its connection to the built environment in the US through a survey conducted in 2014 (n = 1,151). Eleven percent of respondents used carpooling/ridesharing more, and 19% avoided a vehicle purchase due to P2P vehicle access in urban areas. Nevertheless, P2P carsharing has the potential to operate in a range of land-use environments and could be an important strategy to further deemphasize car ownership. Additionally, as the deployment of automated vehicles (AVs) is examined, sharing of privately owned AVs could mirror current P2P carsharing dynamics in important ways.

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mentioning

confidence: 99%

Shared mobility and urban form impacts: a case study of peer-to-peer (P2P) carsharing in the US

Shaheen

Hoffman-Stapleton

2019

Journal of Urban Design

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“…Munich allows free-floating carsharing operators to park everywhere and has lowered the price of the parking permit to €900 instead of €1800 for free-floating cars [83,84]. Many studies have argued that the success of the ECS service comes from close partnership between governments and ECS companies [85].…”

Section: Discussionmentioning

confidence: 99%

“…These two companies are both located in large Chinese cities, as are most of the CS companies. According to the study of Kortum et al, the demographic and economic descriptors of different cities may play determining roles in the development of the CS services [85]. They found the city's residential density has a positive effect on CS development, which can explain why most CS companies currently selected big cities as main market.…”

Section: Discussionmentioning

confidence: 99%

Life-Cycle Break-Even Analysis of Electric Carsharing: A Comparative Study in China

Jia

Xue

et al. 2020

Sustainability

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Electric carsharing (ECS) is a potential option to address the problem of unsustainability in the transportation sector. The business-to-consumer model of ECS, which is one of several different electric carsharing models, has gained much popularity in recent years. Generating sufficient revenue to cover costs is a critical factor for ECS companies to maintain healthy development. This study makes an economic analysis, on the basis of life-cycle cost and monetary revenue associated with the operation of ECS, of two Chinese ECS companies: EVCARD and LCCS. Based on data gathered by field investigation, this study aims to determine the break-even moment for each company’s main vehicle models by means of the net present value method. The results show that EVCARD achieved an earlier break-even moment than LCCS. The break-even moment of Chery eQ of EVCARD was the shortest of all the vehicle models, at only 181.3 min. Moreover, a sensitivity analysis was conducted to portray how different cost-related and revenue-related factors influence the break-even moment. Our findings indicate that a wide difference exists in terms of the influence of different factors on the break-even moment. Among these, the manufacturer’s suggested retail price is the most influential variable, followed by the unit rental price. The reaction of the break-even moment to the market price of a charging pile and the non-rental revenue per vehicle—especially the latter—was found to be negligible in the sensitivity analysis.

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“…The free-floating car sharing system allows users to pick up and drop off vehicles at any point and at any time within a specified area [11,32]. This system enables one-way journeys, in which the journey can start and finish in any place.…”

Section: The Free-floating Car Sharing Systemmentioning

confidence: 99%

Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia

et al. 2019

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This paper provides some insight into factors influencing the car sharing adoption and usage in Southeast-Asian developing countries like Indonesia, where car sharing is just emerging and so far, not effectively existent. This study uses an internet survey of 600 Indonesian respondents to examine how underlying factors, such as perceived benefits of car sharing related to convenience and cost-saving aspects, perceived risks and burdens of car ownership, and perceived values of car ownership as societal status can influence their intention to use car sharing. The results of the ordered logit models reveal that car sharing use intention is influenced by perceived benefits of car sharing and perceived values of car ownership as societal status. Among demographic attributes, income level has a positive effect on car sharing use intention. The implications and proper interpretations in the interplay among them can provide a useful guide to city transportation planners and business owners who attempt to promote car sharing schemes in the Southeast-Asian market like Indonesia.

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Free-Floating Carsharing: City-Specific Growth Rates and Success Factors

Cited by 58 publications

References 7 publications

Shared mobility and urban form impacts: a case study of peer-to-peer (P2P) carsharing in the US

Shared mobility and urban form impacts: a case study of peer-to-peer (P2P) carsharing in the US

Life-Cycle Break-Even Analysis of Electric Carsharing: A Comparative Study in China

Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia

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