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The car-sharing market has entered the mature stage, and consumers' demand shows a diversified increasing trend. This paper considers two modes of operation and two pricing strategies, which are business-to-consumer and consumer-to-consumer modes, market pricing and platform pricing. Under these conditions, the platform's revenue-sharing ratio will be different. The purpose of this paper is to explore this research question, and seeks an optimal pricing mechanism that can achieve a win–win situation between platform and automobile manufacturer in the two market modes.

The authors design different profit functions for platform under the two contexts. Of course, the platform's function is constrained to the manufacturer's function. By introducing a revenue-sharing contract a Stackelberg game model dominated by the platform is established and the equilibrium solutions under the two pricing models are derived.

The study found that even if only market pricing is executed, the scale of the car-sharing market will continue to expand. As the car-sharing market becomes more saturated, platform pricing is better for the automobile manufacturer; in most cases, the platform prefers platform pricing, but when the number of private cars is relatively small, if the cost of car operation and maintenance for the automobile manufacturer is lower or the revenue-sharing ratio of private cars is high, then market pricing will be more favorable to the platform.

With the cross-border integration of car service platforms and the automobile manufacturing industry, the key to achieving win–win cooperation and sustainable development in the car-sharing market will converge on the question of how to design a suitable pricing mechanism and revenue-sharing method.

Authors have determined how a car-sharing platform achieves a win–win order pricing strategy with the manufacturer and private car owners, respectively. And authors combined the supply chain revenue-sharing contract with the car-sharing market to explore the application of the revenue-sharing contract in the sharing economy.

This paper aims to study vehicle-type strategies for the manufacturer's car sharing by accounting for consumers' behavior and the subsidy.

The authors develop a game model, in which a monopoly manufacturer that can produce gasoline vehicles (GVs) or energy vehicles (EVs) not only sells vehicles in the sales market, but also rents them out in the sharing market by the self-built platform. The manufacturer strategically chooses which type of vehicles based on consumers' behavior and whether the government provides the EVs’ subsidy.

When consumers' low-carbon awareness is relatively high or the marginal cost is low, the manufacturer chooses EVs. The manufacturer chooses GVs when the low-carbon awareness and the marginal cost are low. Only when the low-carbon awareness and the subsidy are not too low, the manufacturer who originally chose GVs launches EVs. When the low-carbon awareness is high, the excessive subsidy discourages the manufacturer from entering the sharing market. If the government provides the subsidy, the manufacturer launches high-end EVs. Otherwise, the manufacturer launches low-end EVs. Moreover, the subsidy increases consumer surplus and social welfare since the high subsidy makes EVs’ sharing market demand be negative.

This study enriches the literature on vehicle-type strategies for the manufacturer's car sharing, owns a practical significance to guide the manufacturer's operation management in the car sharing market and provides advice on whether the government should provide EVs’ subsidy.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

To assess how advances in technology are changing the market prospects for paratransit, particularly DRT services.

To review recent developments in technology-enabled paratransit service through their impact on the supply curve for local transportation.

Some technology-enabled paratransit services, notably one-way car sharing and shared ride services offered by transportation network companies (TNCs), have been successful in generating significant usage within the past 24 months in Europe as well as the United States. At the same time, the introduction of technological advances in a comprehensive technology platform used for general public DRT services in Denver has not resulted in a ridership response of a large magnitude. Similarly, technology-enabled micro-transit services have had difficulty attracting sustainable levels of ridership. This suggests only some packages of technological innovations are able to shift the transportation supply curve. The key appears to be the development of a comprehensive technology platform which makes the new service simple and convenient to engage, use, and pay for; it is also highly advantageous if the service is less costly to the end user than existing alternatives.

Technology-enabled improvements of paratransit/DRT services are feasible and increasingly available, but the evidence shows that only when the use of technology significantly shifts the supply curve for local transportation that major impacts occur.

To provide concrete evidence as to the circumstances in which technology can make a significant impact on paratransit’s market prospects, but also identifies some of the limits to technology being able to create such impacts.

Recently, the sharing economy has attracted considerable attention. This emerging paradigm is driven by powerful technological forces and has the potential to change the way consumers access very important markets such as the car market. Indeed, access-based consumption may attract more participants as it enables consumers’ freedom of lifestyle and more flexible identity projects. The empirical literature has so far paid very little attention to car sharing services; when it has, it has focussed mainly on people who are already using them. The purpose of this paper is to consider the drivers behind the adoption intention of car sharing services.

A large multinational survey is carried out in three European capitals: London, Madrid and Paris. Using quota sampling, 2,159 licensed car drivers are recruited through the online panel of TNS Sofres. The sample is representative of the population of licensed car drivers in each city. The questionnaire is developed using established scales from previous research. An OLS regression analysis is performed to test our hypotheses, with a likelihood of choosing a car sharing option as the dependent variable.

The study demonstrates that knowledge, environmentalism, possession-self link and involvement with cars are important determinants of consumer behaviour in the car sharing services market. In addition, the user demographics suggest a target market of younger, predominantly male and urban customers. The empirical findings are consistent across the three capital cities, implying that providers can market their car sharing services in a similar manner.

As important determinants of consumer behaviour in the car sharing services market are underlined, several managerial implications arise from the study. Car sharing providers should promote awareness to help people not only to expand their experience with the service but also to be informed about the potential environmental benefits. Further, a stronger possession-self link in the automotive context is suggestive of a greater willingness to use car sharing systems. Managers should also take into account that it is much more difficult to engage individuals in car sharing services who are highly involved with car, than those who express very little attachment to the product. As people under 45 years old are far more likely to use these services, this generation effect is progressively moving the frontiers of the car retailing sector to a broader mobility service sector.

The foremost contribution of this paper is to demonstrate empirically how consumer intention to use car sharing is driven. To do so, the study addresses the general population of car drivers, interviewing users of the service as well as non-users.

The paper aims to examine the nature and scale of the sustainability value of car sharing and to identify, through consumer analysis, the contextual and consumer factors of success of car subscription as a business model.

The study evaluates the car sharing model against the sustainable development goals defined by the United Nations in 2019. Individual interviews were performed for preliminary understanding of the factors affecting consumers' choices. Subsequently, through two phases of data collection, factor analysis and path model analysis were performed to identify and confirm latent factors. Consumer market segmentation was performed using cluster analysis.

Car sharing was found to have an overall positive net impact, with certain potential negative dimensions. Willingness, financial affordability, location and experience were identified as the key factors of consumers opting for car subscriptions. The findings further highlight the significant business potentialities of car subscription in India, consequent also to consumers' attitudes toward car ownership.

The research has substantial implications for both society and business, with the former being presented with an innovative sustainable means of transportation, and the latter with the elements of success of an entrepreneurial business model to support the former.

The study is a pioneer in objectively evaluating and prescribing positive social and business value creation for and through car subscription in India, based on consumer analysis.

Technological and cultural changes of the past decade have revealed new ways to use the object of the car as demand responsive yet not private. Cars are increasingly able to fulfil the aims of demand responsive transport (DRT), by providing equitable access to flexible, yet sustainable, transport. This chapter outlines the conceptual and empirical case for this increasingly dynamic form of DRT and labels it ‘cars on demand’.

A review of literature and practice is used to detail characteristics of cars on demand, and the reasons for its emergence. Key features are illustrated using examples from around the world.

Cars on demand is a rapidly changing field. New economic models of provision are emerging, yet not all are designed to fulfil the aims of DRT by making transport more sustainable or equitable. These models do, however, contribute to making cars on demand work by encouraging transition from a culture of private-car ownership, to one where the car is an object ‘just’ for use. Cars on demand can therefore contribute to the fracturing of the powerful system of private-car use. Its relationship with decreased vehicle kilometres travelled (VKT) and transport disadvantage is, however, complex and vulnerable to erosion. This vulnerability can be mitigated by regulation and better understanding through research.

This chapter provides a novel conceptualisation of the way the object of the car is used in a demand responsive way. It contributes to understandings of regulatory issues surrounding shared mobility, and provides directions for future research.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

The purpose of this paper is to look at the insights of the value of the society influenced by sharing economy (SE). The study focused on both the benefits and flaws of SE by using the case of renowned SE platform “Uber” to come up with a holistic perspective of these effects from both the facets.

This study collects data from demand and supply side using interview and questionnaire. Then the grounded theory is adopted to analyze interview data and come up with six major research constructs. Further, quantitative analyses methods are applied on questionnaires to test “whether sharing economy creates social value” and to approximately estimate the extent to which sharing is economy influencing social value.

Findings suggested that, when only drivers were inquired about positive and negative effects of SE, positive effects were dominant. Also, when passengers were asked their opinion was also in favor of positive effects. From quantitative data analysis, the major factor significantly influencing the sustainability of the SE was “efficiency.” “Security issues and regulatory issues” were the prime negative factors, though again there was not enough statistical evidence to validate their significance. The authors hereby conclude that the positive contribution of SE is more, and it is increasing the values of the society. And the positive effects were twice significant than the negative effects.

Theoretically, the study contributes to finding both the helpful and harmful effects of SE on the values of the society. Practically, it suggests that governments should allow growth of SE under proper regulations. And car-sharing companies should focus on solving the security issues and regulatory issues.