Journal articles: 'Carsharing'

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Duan, Qian, Xin Ye, Jian Li, and Ke Wang. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China." Sustainability 12, no. 2 (January 15, 2020): 620. http://dx.doi.org/10.3390/su12020620.

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Carsharing is an emerging commute mode in China, which may produce social and environmental benefits. This paper aims to develop a commute mode choice model to explore influential factors and quantify their impacts on the potential demand for carsharing in Shanghai. The sample data were obtained from a revealed preference (RP) and stated preference (SP) survey and integrated with level-of-service attributes from road and transit networks. The RP survey collected commuters’ trip information and socioeconomic and demographic characteristics. In the SP survey, four hypothetical scenarios were designed based on carsharing’s unit price to collect commuters’ willingness to shift to carsharing. Data fusion method was applied to fuse RP and SP models. The joint model identified the target group of choosing carsharing with certain socioeconomic and demographic attributes, such as gender, age, income, household member, household vehicle ownership, and so on. It also indicates that the value of time (VOT) for carsharing is 35.56 RMB Yuan (5.08 US Dollar)/h. The elasticity and marginal effect analysis show that the direct elasticity of carsharing’s fare on its potential demand is −0.660, while the commuters, who have a more urgent plan on car purchase or are more familiar with the carsharing service, have much higher probabilities to choose carsharing as their commute modes. The developed model is expected to be applied to the urban travel demand model, providing references for the formulation of carsharing operation scheme and government policy.

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Brychcy, Maja, and Adam Przybyłowski. "Funkcjonowanie i rola carsharingu w równoważeniu mobilności na przykładzie Trójmiasta." Studia i Prace Kolegium Zarządzania i Finansów, no. 169 (August 2, 2019): 43–56. http://dx.doi.org/10.33119/sip.2018.169.4.

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Równoważenie mobilności staje się obecnie bardzo istotnym elementem rozwoju miast. Potrzeba zmian oraz zmiana podejścia mieszkańców do posiadania prywatnych pojazdów powodują, że carsharing może odegrać istotną rolę w funkcjonowaniu obszarów zurbanizowanych. Carsharing jest systemem współdzielenia pojazdów, który funkcjonuje w Europie i na świecie od lat 70. XX wieku, z kolei w Polsce jest wciąż bardzo młodym i mało znanym rozwiązaniem. Celem artykułu jest omówienie roli carsharingu w równoważeniu mobilności w miastach oraz analiza funkcjonowania firmy Traficar w Trójmieście. Badanie przeprowadzono metodą ankietową na grupie trójmiejskich klientów tej firmy. Wyniki badania potwierdziły hipotezę, że rozwój carsharingu w Trójmieście przyczynia się do częstszego korzystania mieszkańców z innowacyjnych i zrównoważonych form transportu. Ponadto badanie wykazało, że trójmiejski carsharing jest pozytywnie oceniany przez jego użytkowników i stymulujezmianę zachowań mieszkańców w zakresie mobilności.

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Hui, Ying, Cuiyi Liu, and Mengtao Ding. "Carsharing Trip Characteristic Analysis: Do Users Choose Carsharing Rather Than Taxi to Economize?" Transportation Research Record: Journal of the Transportation Research Board 2672, no. 42 (May 22, 2018): 115–26. http://dx.doi.org/10.1177/0361198118774232.

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Carsharing and taxi are both shared or public car services in urban transportation systems, which means they have a lot in common. In particular, the narrow price gap between carsharing and taxi or public transit in China makes them similar. Trip characteristics analysis and market segmentation are needed, to investigate why and when travelers choose carsharing rather than taxi. In this study, vehicle GPS data and operation order data of a round-trip carsharing system in Hangzhou, China, is used to obtain information on 13,338 valid trips. The trips are divided into three groups based on the travel cost comparison with taxi. Then, an artificial neural network model is developed to analyze group characteristics. The trip characteristics concluded from the model, and analysis on typical service stations, reveal that carsharing has its price advantage on simple long-distance trips during off-peak hours, which is called the regular market. Carsharing’s extended market, in which travel cost is higher than by taxi, covers two types of trips: One involves short driving distance (around 20 km) and long stopping time, and tends to occur in areas in which it is difficult to hail a taxi during peak hours; the other involves very short driving distance (around 10 km), more activity spots and very low travel cost (around 25 CNY). The results of this study can help carsharing operators to extend and adjust their business. Also, these results can contribute to help city administrators to reach better decisions.

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Ye, Jianhong, Daoge Wang, Hua Zhang, and Hong Yang. "What Kind of People Use Carsharing for Commuting? Case Study in Shanghai." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (April 12, 2019): 770–78. http://dx.doi.org/10.1177/0361198119841045.

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Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

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Fan, Wei (David), Randy B. Machemehl, and Nicholas E. Lownes. "Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2063, no. 1 (January 2008): 97–104. http://dx.doi.org/10.3141/2063-12.

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Bieszczat, Alice, and Joseph Schwieterman. "Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2319, no. 1 (January 2012): 105–12. http://dx.doi.org/10.3141/2319-12.

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Sai, Qiuyue, Jun Bi, and Jinxian Chai. "Optimal Model for Carsharing Station Location Based on Multi-Factor Constraints." Algorithms 13, no. 2 (February 18, 2020): 43. http://dx.doi.org/10.3390/a13020043.

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The development of the sharing economy has made carsharing the main future development model of car rental. Carsharing network investment is enormous, but the resource allocation is limited. Therefore, the reasonable location of the carsharing station is important to the development of carsharing companies. On the basis of the current status of carsharing development, this research considers multiple influencing factors of carsharing to meet the maximum user demand. Meanwhile, the constraint of the limited cost of the company is considered to establish a nonlinear integer programming model for station location of carsharing. A genetic algorithm is designed to solve the problem by analyzing the location model of the carsharing network. Finally, the results of a case study of Lanzhou, China show the effectiveness of the establishment and solution of the station location model.

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Mashinskiy, V. V. "Application of German State Policy Practice Towards Carsharing in Russia." Vestnik of the Plekhanov Russian University of Economics 17, no. 4 (July 23, 2020): 205–14. http://dx.doi.org/10.21686/2413-2829-2020-4-205-214.

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Carsharing is one of the major recent trends in urban mobility in many countries of Asia, Europe and North America. Russia is one of the leading countries in the industry in terms of growth rates and fleet volume in certain market segments. The purpose of this study is to analyze the key features of German carsharing market and policies regarding carsharing and highlight the possibilities of their application in Russia. As a result of the study a number of recommendations for carsharing development in Russia were outlined. According to several studies, stationbased schemes seem to be environmentally more beneficial compared to free-float carsharing. Station-based carsharing stimulation should be considered as a means to facilitate the development of the industry. A new metamobility policy is required, which implies carsharing, public transport, micromobility and private cars all become part of a single multimodal transport system. A transparent regulatory framework is required. New billing and payment methods, combined tariffs and a single mobile application for all means of public transport and carsharing should be considered as viable measures to stimulate the development of carsharing industry and transport system in general. Parking fees for carsharing should be reduced or waived. Leasing subsidies and preferential business conditions should be introduced to support carsharing operators. Additional taxes for personal vehicles as well as fees for parking and entering the city center using private transport should also stimulate carsharing development.

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Chen, Xiaohong, Jiaqi Cheng, Jianhong Ye, Yong Jin, Xi Li, and Fei Zhang. "Locating Station of One-Way Carsharing Based on Spatial Demand Characteristics." Journal of Advanced Transportation 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/5493632.

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This study aims to explore factors that affect carsharing demand characteristics in different time periods based on EVCARD transaction data, which is the largest station-based one-way carsharing program in Shanghai, China. Monthly usage intensity and degree of usage imbalance are used as proxies of demand. This study uses three groups of independent variables: carsharing station attributes, built environment (density, diversity, design, and destination accessibility), and transportation facilities. The adaptive elastic net regression is developed to identify factors that influence carsharing usage intensity and degree of usage imbalance after factor selection using extra-randomized-tree algorithm. Finally, a station layout is proposed according to both usage intensity and degree of imbalance. The main results of this study are presented as follows: (1) different effects of built environment and transportation factors cause dynamic demand across different time periods; (2) factors with positive and negative effect on carsharing demand are divided clearly for guidance of the carsharing station layout; (3) public parking space leads to more personal vehicle trip compared to a carsharing trip; and (4) as public transportation, the relationship of the metro and carsharing is complementary. However, the bus stop and carsharing have a competitive relationship. This study provides a carsharing layout method based on both usage intensity and degree of imbalance. Furthermore, several policies concerning carsharing are proposed.

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Shams Esfandabadi, Zahra, Meisam Ranjbari, and Simone Domenico Scagnelli. "The Pandemic Implications for Carsharing: An Italian Context." Future Transportation 3, no. 1 (March 1, 2023): 274–85. http://dx.doi.org/10.3390/futuretransp3010016.

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Carsharing, as an innovative mobility option, can potentially support the urban transition towards a more sustainable mobility system and achieving sustainable development goals. This short communication aims at providing the status of carsharing services in Italy, with a focus on Turin, before and after the COVID-19 pandemic. In this regard, an overview of the role of carsharing in urban traffic is provided. Then, carsharing services in Italy before and after the pandemic are mapped. Accordingly, the implications of the pandemic outbreak for carsharing services are discussed. The provided insights confirm that although carsharing services have been affected by the pandemic, even after returning to normal life, the usage of carsharing is still far below its pre-pandemic level in Italy. Finally, to support sustainable mobility and incentivize using shared mobility services, a research agenda for further research is proposed, targeting the research gaps regarding (i) the factors leading to lower usage of carsharing after the pandemic, (ii) potential solutions and policies to support carsharing services return to their pre-pandemic level and exceeding it, and (iii) examining the impact of provided supports by governments during the pandemic, such as bonuses for purchasing bikes and scooters, on the adoption of carsharing services for the post-pandemic era.

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Luo, Wei, Yi Wang, Pengpeng Jiao, Zehao Wang, and Pengfei Zhao. "What Kind of Travellers Are Using Carsharing in Beijing? A Study Based on Selective Ensemble Learning." Sustainability 14, no. 1 (January 4, 2022): 540. http://dx.doi.org/10.3390/su14010540.

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As a new urban travel mode, carsharing is significantly different from private cars, buses and other travel modes. Therefore, clarifying the typical characteristics of carsharing, such as individual users’ attributes, travel environment and travel behaviour, is conducive to accurately grasping the development of carsharing. In this study, a selective ensemble learning model is established to analyse typical travel characteristics of carsharing. Firstly, personal characteristics, environmental characteristics and behavioural characteristics were obtained through integrating order data, global positioning system data and station information. Then, based on a consolidated view of carsharing, different types of carsharing travel characteristics were distinguished using selective ensemble learning. Lastly, all kinds of carsharing travel are described in detail. It was identified through this research that carsharing travel can be divided into four kinds: long distance for leisure and entertainment, medium and short distances for business and commuting, a mixed category of medium and short distances for business and residence, and a mixed category of long distance for business and residence. This study can provide a theoretical reference and practical basis for precise planning and design and the scientific operation of carsharing.

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Ramos, Érika Martins Silva, and Cecilia Jakobsson Bergstad. "The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing." Sustainability 13, no. 12 (June 17, 2021): 6842. http://dx.doi.org/10.3390/su13126842.

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The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.

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Schuster, Thomas D., John Byrne, James Corbett, and Yda Schreuder. "Assessing the Potential Extent of Carsharing." Transportation Research Record: Journal of the Transportation Research Board 1927, no. 1 (January 2005): 174–81. http://dx.doi.org/10.1177/0361198105192700120.

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Members of carsharing organizations reduce both the number of vehicles owned and vehicle miles traveled (VMT). Given these benefits at the individual level, carsharing may interest policy makers as another tool to address the negative environmental, economic, and social consequences of automobile dependence. However, the aggregate effects of carsharing must be estimated before sound policy decisions can be made. This paper describes a Monte Carlo simulation of the economic decision to own or share a vehicle on the basis of major cost components and past vehicle use. The simulation estimates the percentage of vehicles that would be cheaper to share than own. In Baltimore, Maryland, this result ranged from 4.2% under a traditional neighborhood carsharing model to 14.8% in a commuter-based carsharing model. Sensitivity analyses identified travel time and VMT as the most important economic factors, which likely incorporate other factors such as transit access and environmental attitudes. Because travel behavior, not ownership cost, drives the economic carsharing decision, the model hypothesizes that there will be increasing marginal societal benefits from policies that promote carsharing. The model can be applied to any geographic area and can be used to assess carsharing impacts of various policies that change the economics of owning or driving an auto. These results indicate that carsharing can become prevalent enough to be considered an important policy tool.

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Litman, Todd. "Evaluating Carsharing Benefits." Transportation Research Record: Journal of the Transportation Research Board 1702, no. 1 (January 2000): 31–35. http://dx.doi.org/10.3141/1702-04.

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Carsharing is an automobile-rental service intended as a substitute for private-vehicle ownership. Carsharing emphasizes affordability and convenience. Vehicles are located near residences, rented by the hour, and require minimal effort to check in and check out. Carsharing services are common in some European countries and are increasingly common in North America. Carsharing gives consumers a practical alternative to owning a personal vehicle that is driven fewer than 10 000 km (6,000 mi)/year. Carsharing has lower fixed costs and higher variable costs than private-vehicle ownership. This price structure makes occasional use of a vehicle affordable, even to low-income households. It also gives drivers an incentive to minimize their vehicle use and to rely on other travel options as much as possible. Carsharing typically reduces average vehicle use by 40 to 60 percent among drivers who rely on it, making it an important transportation demand-management strategy. Despite these benefits, the use of carsharing is growing slowly and will need to overcome several barriers to achieve its full potential.

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Bocken, Nancy, Alexandra Jonca, Karolina Södergren, and Jenny Palm. "Emergence of Carsharing Business Models and Sustainability Impacts in Swedish Cities." Sustainability 12, no. 4 (February 20, 2020): 1594. http://dx.doi.org/10.3390/su12041594.

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The sharing economy has become prominent in the policy, business and academic discourse as a way to achieve greater levels of resource efficiency in sustainability transitions. An example is carsharing, which is regarded as a potential lever for change in sustainable mobility transitions. In this article we, apply the “ecologies of business models” perspective to investigate how carsharing initiatives have coevolved in Sweden. We focus on the city context as a useful unit of analysis to investigate carsharing in four Swedish cities: Gothenburg, Malmö, Stockholm and Umeå. Through qualitative case research, we investigate the following: How did carsharing business models coevolve in the studied cities? It was found that early notions of carsharing date back to the 1970s, but the concept has changed significantly over time, particularly with the emergence of (Internet) technology-based platforms. The findings suggest that carsharing is complementary to existing private car usage in cities, rather than a replacement. Based on this, we suggest pathways for local policymakers to consider when implementing sustainable carsharing solutions. The contributions are threefold: providing an empirical study on the theoretical ecologies of business models concept; understanding how carsharing coevolved in Swedish cities and in relation to wider sustainability and mobility trends; and giving novel insight into the role of local governments.

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Belova, Olesya. "Non-defined Carsharing: The Law Enforcer vs the Legislator." Legal Concept, no. 3 (October 2022): 87–92. http://dx.doi.org/10.15688/lc.jvolsu.2022.3.12.

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Introduction: civil legislation, as litmus of the economic relations that have developed in society, fixes the most well-established and frequently implemented legal relations. At the same time, the “mobility” of civil circulation, its digitalization, the emergence and application of new objects of civil rights, new groups of property relations dictate modifications, selective transformation of certain provisions of civil legislation. The deliberation and slowness of the legislator in carrying out reforms are the guarantor of the stability of civil circulation. The situation with a non-defined civil law agreement, the carsharing agreement, is different. In the conditions of well-established applied practice, the approaches developed by legal science, the formed heterogeneous case practice, the legislator has not yet determined the legal fate of contractual carsharing relations. The justification of the normative consolidation of the legal nature of the carsharing agreement, its essential conditions and content to achieve unity of practice and law, is the purpose of this study. Methods: the methodological framework for the research is a set of methods of scientific cognition, among which the main ones are analysis, synthesis, generalization and comparative jurisprudence. Results: new civil legal relations, which are not regulated by the legislator, known as carsharing, are currently interpreted through the prism of analogy in the framework of dispute resolution, by classifying carsharing as the closest legal relationship. The judicial practice reviewed and analyzed in the paper makes it possible to determine the trends of the law enforcer, developed at the level of case law, which, at the same time, do not correlate with the opinion of the representatives of the scientific sphere. The author has identified the following approaches to determining the legal essence of the carsharing agreement and its place in the system of civil contractual relations: 1. The carsharing agreement has all the features of the rental agreement; 2. Carsharing relations should be regulated by the norms of the civil legislation on the lease of a vehicle without a crew; 3. Carsharing relations are of a mixed nature, but tend more towards service relations. Conclusions: the existing heterogeneous judicial practice does not allow coming to an unambiguous interpretation of carsharing relations, determining the essence and place of the studied relations in the system of civil law. Due to the frequent applicability of the carsharing agreement among consumers, its popularity, the author believes there is an urgent need to overcome the legal vacuum in the civil legislation and fix the concept and essential terms of the carsharing agreement in such a way as not to “stifle” new civil legal relations. In the process of lawmaking, when determining the fate of the carsharing agreement, the legislator must resolve a number of controversial issues: what is the legal nature of the carsharing relationship; is the carsharing contract a public contract; what are the limits of the principle of freedom of contract when establishing the rules for using a vehicle; the method of concluding the carsharing agreement.

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Luo, Wei, Shi Qiu, Pengpeng Jiao, Liya Yao, and Yi Wang. "Does Policy Matter in Carsharing Traveling? Evolution Game Model-Based Carsharing and Private Car Study." Journal of Advanced Transportation 2022 (May 2, 2022): 1–17. http://dx.doi.org/10.1155/2022/1710746.

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As an alternative trip mode to the private car, carsharing mode first emerged in Europe in the 1940s. Although it possesses many merits such as convenience, affordability, and comfort, its development is far slower than the private car in recent years. Identifying the factors affecting the users’ choice between carsharing and private car is becoming very important. This paper proposes an evolution game model to explore the competitive choice process between carsharing and private car under different government policies. First, an evolution game model with incomplete information is developed to analyze the travel choice of carsharing over private car. The influences of government policy are taken into consideration. Then, the evolutionary stable strategy solution of the model is derived from replicator dynamics, and a discussion about the stable condition is presented. Finally, a case study is conducted to validate the proposed model. This study provides a rationale for agencies to improve the current carsharing choice rate between carsharing and private car.

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Bruskova, L. A., and K. V. Kuznetsov. "Socio-Economic Risks of Carsharing Customers in the Moscow Megalopolis." Humanities and Social Sciences. Bulletin of the Financial University 10, no. 1 (November 3, 2020): 38–45. http://dx.doi.org/10.26794/2226-7867-2020-10-1-38-45.

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The article presents the results of sociological research of socio-economic risks of carsharing customers in the Moscow megalopolis. Carsharing is considered as one of the new types of sharing economy stimulated our days both by information technologies development and postmodern values of people. Currently carsharing is progressing rapidly in the Russian capital that makes relevant its various aspects of the investigation. There is a real contradiction when, on the one hand, various paid services, including carsharing, are extending and on the other hand corresponding risks for people are growing too. The main goal of the research is discovering of socio-economic risks of Moscow carsharing customers both real and potential. The primary method of empirical sociological of carried out in April-May, 2019 is in-depth interviews with actual and potential customers of Moscow carsharing companies. The study reveals that both actual and potential carsharing customers have some fears related to technical and sanitary conditions of a rented car, traffic accidents, insurance, billing etc. At the same time, we found out that the shared usage of a car itself actual the customers more responsible. It studies that development of carsharing in Moscow is constrained mainly by subjective factors related to the mentality of Russians (fears, phobias) and by such factors as sufficiently low level of trust both to people and social institutions. Obtained results are correlated to the statements made by other researchers and let to map out directions of further study of this field.

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Ritter, Martin, and Heiner Schanz. "Carsharing Business Models’ Strategizing Mindsets Regarding Environmental Sustainability." Sustainability 13, no. 22 (November 17, 2021): 12700. http://dx.doi.org/10.3390/su132212700.

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Carsharing is seen as one of the most promising business model innovations for transforming the mobility system towards sustainability. Yet, carsharing businesses are faced with similar sustainability paradoxes as business in general; whether a company’s business model is pushed towards sustainability depends on its strategizing mindset. However, few studies have addressed the strategizing mindsets of carsharing providers. The present study addresses this gap with an empirical assessment of (1) the relevance of environmental sustainability in the strategies of carsharing corporations compared to their proclaimed vision and (2) the underlying type of strategizing mindset, i.e., corporate purpose and vision. In using a Sustainability Balanced Scorecard approach in a reversed manner, accompanied by an objective hermeneutic methodology, we reconstructed strategy maps out of two distinct carsharing business models, unveiling for each company its strategic reasoning, its understanding of corporate purpose and its underlying strategizing mindset. The results reveal that none of the carsharing businesses follow a mindset that orients their strategy to a systems-based view and accordingly do not provide solutions to environmental problems. The study not only adds to our understanding of carsharing companies, it also introduces a conceptual framework that allows the investigation of purpose in comparison to vision, revealing a company’s strategizing mindset.

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Kuhn, Marc, Viola Marquardt, and Sarah Selinka. "“Is Sharing Really Caring?”: The Role of Environmental Concern and Trust Reflecting Usage Intention of “Station-Based” and “Free-Floating”—Carsharing Business Models." Sustainability 13, no. 13 (July 2, 2021): 7414. http://dx.doi.org/10.3390/su13137414.

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Global use of carsharing has increased. The dominant model is station-based carsharing, but free-floating providers are continuously increasing their businesses volumes. Carsharing customers have been described as environmentally conscious with a high preference for mobility providers who show responsibility and trustworthiness. This generalization of usage determinants appears to be questionable given the background of current market developments. Existing research in the area is lacking a context-sensitive view of the antecedents of potential carsharing usage. Do environmental concerns and trust have similar effects on usage intention of carsharing, when free-floating providers implement business models that are more flexible, digital, and sophisticated? Using a standardized online survey, this study paper applied a framework adapted from the Theory of Planned Behavior (ToPB) that included the constructs of trust and environmental concern. The focus was on Share Now and Stadtmobil, which are the largest free-floating and station-based providers, respectively, in Germany. Using structural equation modeling, the study explored potential perception differences between both business models among German consumers. Although not significant, results indicate slightly higher total effects of environmental concern and initial trust on the usage intention of station-based compared to free-floating carsharing. Depending on the type of carsharing, different priorities should be set in the respective business model.

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Wang, Chunxia, Jun Bi, Qiuyue Sai, and Zun Yuan. "Analysis and Prediction of Carsharing Demand Based on Data Mining Methods." Algorithms 14, no. 6 (June 5, 2021): 179. http://dx.doi.org/10.3390/a14060179.

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With the development of the sharing economy, carsharing is a major achievement in the current mode of transportation in sharing economies. Carsharing can effectively alleviate traffic congestion and reduce the travel cost of residents. However, due to the randomness of users’ travel demand, carsharing operators are faced with problems, such as imbalance in vehicle demand at stations. Therefore, scientific prediction of users’ travel demand is important to ensure the efficient operation of carsharing. The main purpose of this study is to use gradient boosting decision tree to predict the travel demand of station-based carsharing users. The case study is conducted in Lanzhou City, Gansu Province, China. To improve the accuracy, gradient boosting decision tree is designed to predict the demands of users at different stations at various times based on the actual operating data of carsharing. The prediction results are compared with results of the autoregressive integrated moving average. The conclusion shows that gradient boosting decision tree has higher prediction accuracy. This study can provide a reference value for user demand prediction in practical application.

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Derikx, Loes, and Dea van Lierop. "Intentions to Participate in Carsharing: The Role of Self- and Social Identity." Sustainability 13, no. 5 (February 26, 2021): 2535. http://dx.doi.org/10.3390/su13052535.

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Carsharing is becoming an increasingly popular mode of transportation in many cities around the world. Previous research has revealed that users tend to be young, are highly educated, have high incomes and live in densely populated neighbourhoods. However, this does not explain why people who have similar socioeconomic characteristics do not adopt carsharing when residing in comparable urban contexts. To assess the critical differences between users and non-users of carsharing, the current research uses the theory of planned behaviour as a theoretical framework to analyse how aspects of an individual’s social and self-identity determine their intentions to participate in carsharing. In-person intercept questionnaire data were collected in the Berlin neighbourhoods Schloßstraße, Steglitz and Glasower Straße, Neukölln in the fall of 2019 (N = 216). Exploratory and confirmatory factor analysis and structural equation modelling were used to analyse the collected data. The model results suggest that having a pro-technology self-identity and negative pro-car identity are significantly associated with the intention to participate in carsharing. These associations are present in both the structural and alternative models. Moreover, both models indicate a negative relationship between individuals’ degree of environmental self-identity and the degree of their pro-car identity. The results suggest that, in order to promote carsharing, regional governments should focus on attracting new users who are currently already using mobility technology. The findings can be used by regional governments to identify potential carsharing users and to specifically target individuals who are likely to be willing to adopt and participate in carsharing.

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Muratova, S. A. "Legal Nature of Carsharing Agreement and Prospects for its Development." Courier of Kutafin Moscow State Law University (MSAL)) 1, no. 11 (February 14, 2022): 194–205. http://dx.doi.org/10.17803/2311-5998.2021.87.11.194-205.

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Nowadays, the economic model of collaborative consumption or sharing economy is actively growing. The issues of legislative regulation of sharing services, the use of which is now actively disseminated in Russia, are becoming increasingly important. The author pays attention to the significant increase in sharing services, including carsharing, at the present time. The legal nature of carsharing agreement, through analysis of legislation, of doctrine and of carsharing services agreements, is analysed in the article. The author of the article supports the concept that the carsharing agreement is a special kind of lease agreement for vehicles without crew.

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Rivasplata, Charles, Zhan Guo, Richard W. Lee, and David Keyon. "Residential On-Site Carsharing and Off-Street Parking in the San Francisco Bay Area, California." Transportation Research Record: Journal of the Transportation Research Board 2359, no. 1 (January 2013): 68–75. http://dx.doi.org/10.3141/2359-09.

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This research explores the recent practice of connecting on-site car-sharing service with off-street parking standards in multifamily developments; the San Francisco Bay Area, California, is used as a case study. If implemented well, such a policy could help boost the carsharing industry and reduce off-street parking, which is often criticized as being over-supplied as a result of excessive off-street parking standards. In 2011, the authors surveyed all carsharing sites in the Bay Area and all new residential developments (completed after 2000) with on-site carsharing spaces. The results showed that a significant number of carsharing spaces were located on residential properties, but 70% of the spaces had been retrofitted into existing buildings. For the new developments, on-site carsharing did not result in a reduction in the amount of regular off-street parking. Interviews with 15 professionals from three stakeholder groups (planners, developers, and service providers) revealed that even though all the stakeholders were in favor of on-site carsharing at residential developments, three major barriers existed: a lack of incentives, the complexity of access design, and high transaction costs.

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Wielinski, Grzegorz, Martin Trépanier, and Catherine Morency. "Carsharing Versus Bikesharing." Transportation Research Record: Journal of the Transportation Research Board 2650, no. 1 (January 2017): 112–22. http://dx.doi.org/10.3141/2650-13.

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Shared mobility services such as carsharing and bikesharing have gained significant traction in recent years. The services offer efficiency and flexibility to their members while providing benefits to society. In fall 2013, two origin–destination web surveys were carried out on carsharing and bikesharing members in Montreal, Quebec, Canada. These data were used to analyze the typical travel behaviors of members of one or both services. Service provider data were supplied to complement the analyses. The study controlled for factors such as age, gender, home location, and intensity of use of the service. Person and household characteristics showed that bikesharing users differed by being younger, more often male, and more connected (smartphones), and having a higher income. Carsharing users possessed more transit passes, had driving licenses in a higher proportion, and belonged to households with more children and fewer cars. Differences were also found when the intensity of the use of the service was accounted for. On travel behaviors, the study analyzed mode share when the bikesharing service was in operation and when the service ceased operations. On the former, both groups had high shares of public transit and walking, but bikesharing users were more car (driver)-oriented and carsharing members had a higher use of bikes. On the latter, carsharing users increased their use of walking, and bikesharing users increased their use of cars (driver). Finally, the study used a multinomial logit model to evaluate the performance of several variables on the odds of being a carsharing-only member, a bikesharing-only member, or a member of both services.

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Dyshko, Varvara A., and Olga A. Klochko. "Internationalization of carsharing companies in Europe." Vestnik of Saint Petersburg University. Management 19, no. 4 (2020): 520–41. http://dx.doi.org/10.21638/11701/spbu08.2020.405.

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The purpose of this paper is to explore the specifics of the internationalization process of carsharing companies as the largest players in the new sector of a sharing economy. The comparative analysis of the internationalization process of carsharing companies in European countries was conducted from four directions: the intensity of car use, the way to enter foreign markets, internationalization rate, and the choice of locations within a country for doing business. Carsharing companies with B2C and P2P business models pursue various strategies to penetrate foreign markets. B2C companies lead the internationalization process; in most cases they are large European automotive corporations or car rental companies. When entering the same foreign market, companies with a P2P business model cover more cities in a country than B2C firms. Also, over the internationalization period carsharing companies with a B2C business model enter the markets of more countries than P2P companies. The latter primarily enter the markets of neighboring countries, while the former internationalize in the largest markets. The further global expansion of carsharing is determined by several contradicting factors. Before the COVID-19 pandemic began, most scholars had predicted a growing popularity of carsharing services. The use of electric vehicles and automated guided vehicles within the framework of carsharing sparked the main growth impacts. However, the coronavirus pandemic poses a threat to the development of sharing economy. Reinforcement of safety requirements as to minimize personal contacts and consumer interactions along with the aspiration of states to reduce their level of involvement in global processes can lead to the transformation of the process and internationalization strategies.

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Brendel, Alfred Benedikt, Sascha Lichtenberg, Christoph Prinz, and Bernd Herrenkind. "Increasing the Value of Shared Vehicles: Insights from an Implementation of User-Based Relocation in Station-Based One-Way Carsharing." Sustainability 12, no. 21 (October 23, 2020): 8800. http://dx.doi.org/10.3390/su12218800.

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New digital technologies are a driving force behind many pivotal changes in our modern world. For example, the carsharing business model has improved drastically through the adoption of technologies for online booking, instant access, vehicle monitoring, and automated billing. However, the challenge of vehicle supply and demand management hinders carsharing from reaching its full potential and mainstream application. The current norm of relocating vehicles via employees is expensive and unsustainable, counteracting the environmental benefits of carsharing. To engage this problem, a new concept called user-based relocation has emerged in recent years. For user-based relocation, customers are requested to return rented vehicles at undersupplied locations. However, research and practice lack knowledge on how to implement user-based relocation in a real-world carsharing system. This study employs an iterative research approach, including the implementation of user-based relocation in a real-world carsharing system. During the development and evaluation process, novel requirements and challenges for user-based relocation were discovered, providing valuable knowledge for its implementation and future research.

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Schmöller, Stefan, Tanja Niels, Cornelius Hardt, Katrin Lippoldt, Florian Dandl, and Klaus Bogenberger. "Carsharing in Deutschland." Journal für Mobilität und Verkehr, no. 2 (May 28, 2019): 1–9. http://dx.doi.org/10.34647/jmv.nr2.id12.

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In den letzten Jahrzehnten entwickelten sich verschiedene Carsharing-Modelle ausgehend vom stationsbasierten System, das nur Rundfahrten zuließ, bis hin zu free-floating Systemen mit flexibler Fahrzeugrückgabe innerhalb eines Geschäftsgebiets. Für Betreiber ist eine raumzeitliche Analyse der Nachfrage unabdinglich, um die Fahrzeugverfügbarkeit durch Reallokationen bestmöglich der Nachfrage anzugleichen. In diesem Artikel werden Carsharing-Systeme, aktuelle Entwicklungen, Nutzer- und Nachfrageanalysen sowie Reallokationsansätze vorgestellt.

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Shaheen, Susan A., Adam P. Cohen, and Melissa S. Chung. "North American Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2110, no. 1 (January 2009): 35–44. http://dx.doi.org/10.3141/2110-05.

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Shaheen, Susan A., Adam P. Cohen, and Elliot Martin. "Carsharing Parking Policy." Transportation Research Record: Journal of the Transportation Research Board 2187, no. 1 (January 2010): 146–56. http://dx.doi.org/10.3141/2187-19.

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Di Febbraro, Angela, Nicola Sacco, and Mahnam Saeednia. "One-Way Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2319, no. 1 (January 2012): 113–20. http://dx.doi.org/10.3141/2319-13.

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Balac, Milos, Francesco Ciari, and Kay W. Axhausen. "Carsharing Demand Estimation." Transportation Research Record: Journal of the Transportation Research Board 2563, no. 1 (January 2016): 10–18. http://dx.doi.org/10.3141/2536-02.

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Reisner, Hubert. "Carsharing von Elektroautos." Zeitschrift für Vergaberecht 23, no. 1 (2023): 51. http://dx.doi.org/10.33196/rpa202301005101.

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Changaival, Boonyarit, Kittichai Lavangnananda, Grégoire Danoy, Dzmitry Kliazovich, Frédéric Guinand, Matthias Brust, Jedrzej Musial, and Pascal Bouvry. "Optimization of Carsharing Fleet Placement in Round-Trip Carsharing Service." Applied Sciences 11, no. 23 (December 1, 2021): 11393. http://dx.doi.org/10.3390/app112311393.

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In a round-trip carsharing system, stations must be located in such a way that allow for maximum user coverage with the least walking distance as well as offer certain degrees of flexibility for returning. Therefore, a balance must be stricken between these factors. Providing a satisfactory system can be translated into an optimization problem and belongs to an NP-hard class. In this article, a novel optimization model for the round-trip carsharing fleet placement problem, called Fleet Placement Problem (FPP), is proposed. The optimization in this work is multiobjective and its NP-hard nature is proven. Three different optimization algorithms: PolySCIP (exact method), heuristics, and NSGA-II (metaheuristic) are investigated. This work adopts three real instances for the study, instead of their abstracts where they are most commonly used. They are two instance:, in the city of Luxembourg (smaller and larger) and a much larger instance in the city of Munich. Results from each algorithm are validated and compared with solution from human experts. Superiority of the proposed FPP model over the traditional methods is also demonstrated.

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Namazu, Michiko, Don MacKenzie, Hisham Zerriffi, and Hadi Dowlatabadi. "Is carsharing for everyone? Understanding the diffusion of carsharing services." Transport Policy 63 (April 2018): 189–99. http://dx.doi.org/10.1016/j.tranpol.2017.12.012.

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Nitschke, Luca. "Reconstituting Automobility: The Influence of Non-Commercial Carsharing on the Meanings of Automobility and the Car." Sustainability 12, no. 17 (August 29, 2020): 7062. http://dx.doi.org/10.3390/su12177062.

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Automobility has long been understood as the normal and hegemonic way of moving and even without considering a global pandemic and the imperative of social distancing, disruptive change in everyday automobility seems far away. Based on 34 interviews with members of carsharing associations and private carsharing arrangements, this article argues that non-commercial carsharing, a self-organized form of carsharing, poses a twofold challenge to the hegemonic meanings of automobility on the level of everyday practice. First, the car’s role as status symbol is fading and overridden as an object of utility that is only used when absolutely necessary and mostly for leisure purposes. Second, the car is losing its position as the realization of individual freedom and the coercive aspects of the car and automobility become strongly present amongst non-commercial carsharers. Thereby, automobility emerges as an ambivalent issue and becomes perceived as means of liberation and means of domination simultaneously. By working with and against automobility’s hegemonic meanings on the level of everyday practice, non-commercial carsharing is changing the system of automobility from within and bears the potential for substantially altering the reproduction of the system of automobility.

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Martin, Layla, Michael Wittmann, and Xinyu Li. "The Influence of Public Transport Delays on Mobility on Demand Services." Electronics 10, no. 4 (February 4, 2021): 379. http://dx.doi.org/10.3390/electronics10040379.

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Demand for different modes of transportation clearly interacts. If public transit is delayed or out of service, customers might use mobility on demand (MoD), including taxi and carsharing for their trip, or discard the trip altogether, including a first and last mile that might otherwise be covered by MoD. For operators of taxi and carsharing services, as well as dispatching agencies, understanding increasing demand, and changing demand patterns due to outages and delays is important, as a more precise demand prediction allows for them to more profitably operate. For public authorities, it is paramount to understand this interaction when regulating transportation services. We investigate the interaction between public transit delays and demand for carsharing and taxi, as measured by the fraction of demand variance that can be explained by delays and the changing OD-patterns. A descriptive analysis of the public transit data set yields that delays and MoD demand both highly depend on the weekday and time of day, as well as the location within the city, and that delays in the city and in consecutive time intervals are correlated. Thus, demand variations must by corrected for these external influences. We find that demand for taxi and carsharing increases if the delay of public transit increases and this effect is stronger for taxi. Delays can explain at least 4.1% (carsharing) and 18.8% (taxi) of the demand variance, which is a good result when considering that other influencing factors, such as time of day or weather exert stronger influences. Further, planned public transit outages significantly change OD-patterns of taxi and carsharing.

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Drobiazgiewicz, Joanna, and Agnieszka Pokorska. "Directions of Carsharing Development in Poland—Analysis of the Need to Expand the Carsharing Zone." Sustainability 15, no. 5 (February 25, 2023): 4192. http://dx.doi.org/10.3390/su15054192.

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One of the basic challenges of contemporary transportation policy is to reduce the share of passenger cars used as the primary means of transportation. This problem is particularly important in urban areas, where congestion generates significant economic costs and carries certain risks for the environment and air quality, and, as a result, has a negative impact on the health of residents. In recent decades, many solutions have been developed to support the reduction of car traffic, many of which are part of the concept of sustainable and shared mobility, such as public transport systems and carsharing and bike-sharing systems. The authors have focused on an in-depth analysis of the carsharing phenomenon in both theoretical and practical terms. The aim of the following considerations is to fill the gap in knowledge about the directions of global trends in the development of carsharing and to relate them to the situation in Poland. In addition, the authors carried out an analysis aimed at characterising the degree of activity of using carsharing services at the border of the zone and indicating whether there may be a connection between the location of cars in the border zone and the possibility of transferring to other means of transport. The authors also point out whether increasing the area of carsharing, in this case, seems justified. The research was conducted based on the literature, an analysis of the activities of companies providing carsharing services, an analysis of open public data in this area, and observations.

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Popova, Yelena, and Alexandra Fesyuk. "Factors Affecting the Growth of Demand on Carsharing Services Within Smart City." Transport and Telecommunication Journal 23, no. 3 (June 1, 2022): 252–61. http://dx.doi.org/10.2478/ttj-2022-0021.

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Abstract The carsharing services have become the necessary component of the life of smart and sustainable city. They meet the numerous requirements put forward by these cities concepts and make life in urban environment cleaner, more comfortable and convenient and better organized. The goal of this research is to determine the factors facilitating the demand for the carsharing services, and on the basis of this analysis to consider the costs structure of these companies. The results are obtained via PLS-SEM analyses implementation in SmartPLS-3.3.7 software. The analysis revealed that such factors as Convenience, Additional Values and Economic (saving factors) have positive impact on growth of demand for carsharing services while New Way of Thinking is insignificant. However, the developed Costs function demonstrate that companies assume the costs of promoting “green” effect of carsharing as important ones. If they reduce these types of costs, it will have positive impact on their efficiency without decrease of demand.

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Monteiro, Cristiano Martins, Claudia A. Soares Machado, Mariana de Oliveira Lage, Fernando Tobal Berssaneti, Clodoveu Augusto Davis Jr., and José Alberto Quintanilha. "Maximizing Carsharing Profits: An Optimization Model to Support the Carsharing Planning." Procedia Manufacturing 39 (2019): 1968–76. http://dx.doi.org/10.1016/j.promfg.2020.01.234.

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Saginova, Olga, Ekaterina Tsenina, Dmitry Zavyalov, and Yuri Saginov. "Motivation for Carsharing Services: the Role of Sustainability Values." SHS Web of Conferences 93 (2021): 04004. http://dx.doi.org/10.1051/shsconf/20219304004.

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Sharing, collaborative consumption, and on-demand systems, provide various models of peer-to-peer exchanges of tangible and intangible assets. Sharing is believed to demonstrate the basic values of the sustainable development with focus on environmental, economic, and social issues. Carsharing services demonstrate high growth rate with personal safety requirements changing focus with COVID-19 pandemic. The behaviour of carsharing users is determined by several main motives: getting pleasure from and enjoying new technologies, realizing users’ views on reasonable consumption, strengthening one’s reputation among members of the community, and obtaining economic benefits. The article presents the results of carsharing motivation research. Online survey and deliberative research sessions revealed the importance of sustainable development values for the young active consumers.

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Celsor, Christine, and Adam Millard-Ball. "Where Does Carsharing Work?" Transportation Research Record: Journal of the Transportation Research Board 1992, no. 1 (January 2007): 61–69. http://dx.doi.org/10.3141/1992-08.

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Shaheen, Susan A., and Adam P. Cohen. "Growth in Worldwide Carsharing." Transportation Research Record: Journal of the Transportation Research Board 1992, no. 1 (January 2007): 81–89. http://dx.doi.org/10.3141/1992-10.

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Hampshire, Robert C., and Craig Gaites. "Peer-to-Peer Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2217, no. 1 (January 2011): 119–26. http://dx.doi.org/10.3141/2217-15.

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Wang, Mingquan, Elliot W. Martin, and Susan A. Shaheen. "Carsharing in Shanghai, China." Transportation Research Record: Journal of the Transportation Research Board 2319, no. 1 (January 2012): 86–95. http://dx.doi.org/10.3141/2319-10.

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Herrenkind, Bernd, Alfred Benedikt Brendel, and Lutz M. Kolbe. "Kollaborative Wertschöpfung im Carsharing." HMD Praxis der Wirtschaftsinformatik 56, no. 1 (December 12, 2018): 207–22. http://dx.doi.org/10.1365/s40702-018-00477-3.

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Ballús-Armet, Ingrid, Susan A. Shaheen, Kelly Clonts, and David Weinzimmer. "Peer-to-Peer Carsharing." Transportation Research Record: Journal of the Transportation Research Board 2416, no. 1 (January 2014): 27–36. http://dx.doi.org/10.3141/2416-04.

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Shaheen, Susan A., Adam P. Cohen, and J. Darius Roberts. "Carsharing in North America." Transportation Research Record: Journal of the Transportation Research Board 1986, no. 1 (January 2006): 116–24. http://dx.doi.org/10.1177/0361198106198600115.

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Kent, Jennifer L., and Robyn Dowling. "Puncturing automobility? Carsharing practices." Journal of Transport Geography 32 (October 2013): 86–92. http://dx.doi.org/10.1016/j.jtrangeo.2013.08.014.

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Zhou, Jiangping. "Carsharing on university campus: Subsidies, commuter benefits, and their impacts on carsharing." Transportation Research Part D: Transport and Environment 32 (October 2014): 316–19. http://dx.doi.org/10.1016/j.trd.2014.08.015.

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Journal articles on the topic 'Carsharing'

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