Car Sharing Market Development in Russia

Kireeva, Natalia; Zavyalov, Dmitry; Saginova, Olga; Zavyalova, Nadezhda

doi:10.1016/j.trpro.2021.02.055

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…There were three alternatives, four attributes, and three levels of each attribute. Car-sharing, taxis, and private cars have four attributes and three levels (3 4 × 3 4 × 3 4 = 3 12 ).…”

Section: Experimental Design Of Sp Surveymentioning

confidence: 99%

“…𝑉 𝐶𝑆 = 𝛽 10 + 𝛽 𝑤𝑡 × 𝑊𝑇 + 𝛽 𝑡𝑡 × 𝑇𝑇 + 𝛽 𝑡𝑐 × 𝑇𝐶 + 𝛽 𝑝𝑟𝑖𝑣 × 𝑃𝑅𝐼𝑉 + 𝛽 𝑎𝑔𝑒 × 𝐴𝑔𝑒 + 𝛽 𝑒𝑑𝑢 × 𝐸𝐷𝑈 + 𝛽 𝑖𝑛𝑐 × 𝐼𝑁𝐶 + 𝛽 𝑑𝑟𝑙𝑖𝑐 × 𝐷𝑅𝐿𝐼𝐶 + 𝛽 𝑡𝑟𝑙𝑤𝑘 × 𝑇𝑅𝐿𝑊𝐾 (11) 𝑉 𝑃𝐶 = 𝛽 20 + 𝛽 𝑡𝑡 × 𝑇𝑇 + 𝛽 𝑡𝑐 × 𝑇𝐶 + 𝛽 𝑝𝑟𝑖𝑣 × 𝑃𝑅𝐼𝑉 + 𝛽 𝑝𝑟𝑘𝑐 × 𝑃𝑅𝐾𝐶 + 𝛽 𝑎𝑔𝑒 × 𝐴𝑔𝑒 + 𝛽 𝑒𝑑𝑢 × 𝐸𝐷𝑈 + 𝛽 𝑖𝑛𝑐 × 𝐼𝑁𝐶 + 𝛽 𝑑𝑟𝑙𝑖𝑐 × 𝐷𝑅𝐿𝐼𝐶 + 𝛽 𝑡𝑟𝑙𝑤𝑘 × 𝑇𝑅𝐿𝑊𝐾 (12) 𝑉 𝑇𝑋 = 𝛽 𝑤𝑡 × 𝑊𝑇 + 𝛽 𝑡𝑡 × 𝑇𝑇 + 𝛽 𝑡𝑐 × 𝑇𝐶 + 𝛽 𝑝𝑟𝑖𝑣 × 𝑃𝑅𝐼𝑉 (13) 4. Results…”

Section: Random Parameter Logit Modelmentioning

confidence: 99%

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Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country

et al. 2022

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Motorization has been escalating rapidly in developing countries, posing a severe challenge to sustainable urban mobility. In the past two decades, car-sharing has emerged as one of the most prominent alternatives to facilitate smart mobility solutions, thereby helping to reduce air pollution and traffic congestion. However, before its full-scale deployment, it is essential to understand the consumers’ acceptance of car-sharing systems. This study aimed to assess the public perception and acceptance of the car-sharing system through a stated preference (SP) questionnaire in the city of Lahore, Pakistan. The collected data contained detailed information on various service attributes of three alternative modes (car-sharing, private car, and taxi) in addition to the sociodemographic attributes of respondents. Data analysis and interpretation were performed using econometric models such as the Multinomial Logit Model (MNL), the Nested Logit Model (NL), and the Random Parameter Logit Model (RPL). Study findings revealed that several generic attributes such as travel time, travel cost, waiting time, and privacy were predicated as significant influential factors towards the adoption of car-sharing. Sociodemographic attributes, including age, education, monthly income, the individuals who had driver’s licenses, and frequency of travel in a week, were also found to be significant. The findings of the current study can provide valuable insights to stakeholders and transportation planners in formulating effective policies for car-sharing.

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“…There were three alternatives, four attributes, and three levels of each attribute. Car-sharing, taxis, and private cars have four attributes and three levels (3 4 × 3 4 × 3 4 = 3 12 ).…”

Section: Experimental Design Of Sp Surveymentioning

confidence: 99%

Section: Random Parameter Logit Modelmentioning

confidence: 99%

Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The systems are also associated with flexibility and independence in movement provided by shared vehicles [4]. Shared mobility services are generally well perceived by the public, although there are also negative opinions about, for example, overly complicated vehicle rental processes, users' concerns about the leakage of personal data, or a lower sense of privacy, security, and comfort compared to passenger cars [5]. This is the basis for searching for all possibilities of system improvements to correct their operation.…”

Section: Introductionmentioning

confidence: 99%

Open Innovation Business Model as an Opportunity to Enhance the Development of Sustainable Shared Mobility Industry

Turoń

2022

Journal of Open Innovation: Technology, Market, and Complexity

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The shared mobility services market is growing and changing very rapidly. Many novelties are introduced to the systems, ranging from improvements to the services already offered to services referred to as innovative. Since the following years are to bring significant development of mobility as a service (MaaS) systems, data sharing, and cooperation on the mobility market, the article is dedicated to check whether the current business models of the industry are ready for the open innovations implementations. The article aimed to analyze the business models of shared mobility systems along with their presentation in the form of CANVAS models and to investigate whether the models contain aspects of open innovation. Moreover, the article presents its own value-added open business model prepared for the whole shared mobility market. The paper also identifies a set of open innovations that can be implemented by all types of shared mobility operators. It proposed the basis that operators can use when developing their own open business models. The developed research is an original contribution to filling the research gap concerning the approach to open innovation by operators of all types of shared mobility services available on the market. The results show that car-sharing service providers are the biggest opponents of open innovation. On the other hand, the most ‘open’ systems are bike-sharing services. The conducted research may support operators in the process of transforming their businesses into more accessible for users. It also helps to develop the open innovation concept to create more sustainable shared mobility systems along the lines of collaborative economy assumptions.

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Corporate Governance: Regulatory Fit als strategisches Marketing für den Automobilmarkt

Luttermann

2022

Pandemie Als Nicht Alltägliches Event-Risk

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Car Sharing Market Development in Russia

Cited by 8 publications

References 12 publications

Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country

Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country

Open Innovation Business Model as an Opportunity to Enhance the Development of Sustainable Shared Mobility Industry

Corporate Governance: Regulatory Fit als strategisches Marketing für den Automobilmarkt

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