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Article

Motivational Patterns and Personal Characteristics of Potential Carsharing Users: A Qualitative Analysis

School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Attica, Greece
*
Author to whom correspondence should be addressed.
Future Transp. 2023, 3(3), 1068-1084; https://doi.org/10.3390/futuretransp3030059
Submission received: 17 July 2023 / Revised: 30 August 2023 / Accepted: 6 September 2023 / Published: 7 September 2023
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)

Abstract

:
In the last decade, in Europe and the US, carsharing has become a mainstream transportation mode offering a sustainable solution to serious urban problems such as pollution, economic crisis, congestion, and parking. In Greece, carsharing is currently entering its commercial phase. Planners and providers strive to gain an insight into the factors influencing the use of carsharing to effectively implement carsharing systems (CSS). In this context, understanding the motives and usage conditions are considered necessary. Based on a qualitative analysis (semi-constructed interviews, n = 52), this paper identifies motivational patterns as well as personal characteristics of potential users that can be further explored through quantitative research methods. During the data analysis process, participants’ responses were classified into categories that revealed not only the factors that motivated them but also unveiled the challenges they face when utilizing carsharing schemes. These factors were the following: familiarity, comfort, mindset, everyday life, usability, and economy. Next, these factors were analyzed further based on the personal characteristics of the respondents preparing the ground for quantitative research in future research initiatives. Notably, the present findings could be beneficial to operators, policymakers, and stakeholders endeavoring to appraise shared mobility schemes in Greece and Mediterranean countries in general.

1. Introduction

During the last decade, sharing economy has become a mainstream option [1,2]. Sharing economy, for example, carsharing, bike sharing, property sharing, device sharing, tools sharing, etc., are currently highly favored. Considering carsharing, it should be noted that it has gained significant ground in the transportation market. There are numerous operators of carsharing in Europe, America, and Asia. Recently, many automakers started participating in carsharing programs. Their success contributes to reducing serious urban challenges such as pollution, economic crisis, congestion, and parking [3].
Carsharing systems lead to a decline in car ownership, when they are efficient and user friendly [4,5]. Each shared vehicle might replace four to eight private cars. On the other hand, carsharing could be also beneficial for people that do not own a private vehicle like students or low-income households [6]. Through this way, some people could be served occasionally by carsharing (especially for routes where other modes provide inadequate service), without being forced to buy a car that will bring about negative externalities (e.g., consumption of public space, environmental degradation, etc.).
Furthermore, carsharing induces a reduction in vehicle-kilometers traveled, thus leading to lower gas emissions [7,8]. There are multiple benefits for carsharing users since carsharing services exempt users from vehicle ownership and maintenance costs [9], cover the need to use a vehicle (when it occurs) [10], and strengthen the environmental consciousness of users and their sense of responsibility towards the community [11]. As for the benefits to society, carsharing contributes to enhancing the use of public transportation, to improving the mobility of disadvantaged people (which also strengthens social equality), and to protecting the environment through the reduction in energy consumption and emissions [12]. It is clearly demonstrated that carsharing services could function as one key tool for promoting sustainable mobility and bringing about positive impacts, especially in urban or rural areas where private car usage prevails [13]. Nevertheless, carsharing may also nurture a rise in automobility culture against sustainable modes [14]. To this end, the factors influencing (support or hinder) carsharing usage should be thoroughly understood; thus, paving the way for successful policy measures that appraise carsharing as a supplementary tool for sustainable mobility.
In this context, this article aims to explore the view of the public (i.e., potential user perspective) in terms of carsharing and to identify those parameters that play an important role in the intention of selecting it as a transportation mode. Special emphasis is given to spatial parameters. The main research hypothesis is the following: the choice of carsharing services is influenced by personal characteristics, spatial attributes of the users’ activities, and emotional/utilitarian factors. A qualitative approach to this subject was considered necessary, in order to gain in-depth knowledge of the factors that motivate or prevent carsharing use, going beyond existing quantitative studies. Tellingly, qualitative methods are capable of capturing participants’ nuanced perspectives and experiences, thus, providing a deeper understanding of the influential factors [15].
This qualitative approach that entails in-depth semi-structured interviews was carried out in Greece since it is a new ground for the adoption of carsharing. While there have been numerous studies in the last two decades addressing the motives and challenges related to carsharing (see Section 2), however, to the best of the authors’ knowledge, there has not been an in-depth qualitative study conducted in Greece. Apart from being a newcomer in carsharing, Greece is a challenging case for exploring influential factors, as it presents urban environments favorable for establishing carsharing systems (limited parking provision, inadequate public transportation, etc.), while car ownership is highly appraised to be a status symbol. To this end, exploring this topic in a challenging newcomer country will significantly contribute to understanding the motives and challenges of the public referring to carsharing use. For instance, is car ownership a deterrent for carsharing or does the place of residence affect the probability of using a shared car. The results of this research could be used by local authorities, planners, and carsharing operators to deploy successful carsharing systems or improve those already established. Interestingly, these insights might be useful in other similar contexts like other Mediterranean countries that present common characteristics and culture.
The remainder of the paper is structured as follows: The second section presents the theoretical background, demonstrating some similar previous works. The third section contains the research method and basic assumptions made. The fourth section illustrates the results of the in-depth interviews. Next, the fifth section discusses the outcomes of this study. Finally, the sixth section draws conclusion, thus underlining key insights for the future.

2. Literature Review

In the existing literature, much attention is paid to highlighting aspects of the carsharing system, to identifying carsharing users, and to quantifying their characteristics and choices, mainly through the lens of a quantitative perspective. Carsharing was found to be particularly influenced by age, marital status, and car ownership [16]. Curtale et al. [17] applied a structural equation modeling to a survey with 656 respondents in the Netherlands, demonstrating that the user acceptance of electric carsharing is affected by social influence, performance expectancy, and personal attitude. Through a large study in 177 cities from Western European Countries, Münzel et al. [18] found that education level and lifestyle play a significant role in adopting carsharing services. Wang et al. [19] studied individuals’ acceptance of free-floating electric carsharing in China through a web-based survey with 826 participants. They concluded that intention to use carsharing is affected by familiarity, distance of the trip, and income level. Another research by Ullah et al. [20] explored travelers’ acceptance of carsharing through a stated preference survey with 453 respondents in Peshawar, Pakistan, and found that both demographic characteristics, such as age, gender, and income, and service attributes, like travel time and cost, play an important role. In the same direction, Safdar et al. [21] carried out a stated preference survey with 242 respondents in Lahore, Pakistan, to reveal that generic attributes like cost, waiting time, and sociodemographic attributes, like income, age, and education level, were found to be significant for adopting carsharing.
Chun et al. [22] underlined that lifestyle and income level has the most influential impact on intention to use carsharing. The survey of Hu et al. [23] revealed that carsharing services in Bei**g, China, are influenced by age, gender, time, distance of the trip, and cost. Zhou and Kockelman [24] carried out a survey with 403 participants to explore travelers’ preferences and estimate latent demand for Austin Carsharing (ACS) in Austin, Texas, USA. They demonstrated that car ownership, income level, and educational status quo have major influence in adopting carsharing services. Furthermore, according to Acheampong and Siiba [25], who used structural equation modelling, highly influential factors are lifestyle, familiarity, gender, education, usability, and public transport provision. Finally, Ohta et al. [26] conducted a web survey with 1095 respondents to examine the acceptance rate of carsharing and eco-cars in Japan. This survey illustrated that the most influential factors are car ownership, familiarity, centrality, age, gender, and trip period.
Despite the previous research works, a few studies use qualitative research methods, either because they want to collect high-quality and in-depth data [27], or as a basis to building correct questionnaires. A notable work was conducted by Jain et al. [28]. The authors employed a qualitative study utilizing focus groups and semi-structured interviews in Melbourne, Australia. This study displayed that while cost, convenience, and environmental concerns are major motivators, other factors like the feeling of sharing with the community and reducing costs related to car ownership also play a critical role. Another interesting example is the study carried out by **. Also, they would use it if finding parking is difficult at their destination or if their destination is poorly served by public transportation or if their destination is considered unsafe (criminality or fear of crime). This parameter strongly indicates that using sharing economy is related not only to ownership status but also to geography.
Place of residence/work/study: Choosing carsharing depends on the destination as mentioned above. In particular, public’s intention to use carsharing is greater when the area visited is considered problematic due to unavailability of parking, lack of public transportation services, or crime rate, e.g., P7 (Female, 35–44 years) “…I go for shop** in Halandri after work, I take the metro and then walk, cause I go to work by train, I do not use my motorcycle, …but afterwards, yes, I would get a car, especially if I could make a reservation before and I find it parked somewhere there cause I carry heavy bags…” (sic) and P25 (Male, 35–44) “… if I went somewhere and if I knew I would drink or a friend could give me a lift back home, I would definitely use it so that I do not have to worry about what to do with the car, how I will return it…” (sic). During the interviews, particular focus was given to the “place” parameter, since research works examining the link between geographic location and the use of carsharing schemes are still limited in the international literature [31].

4.2. Place of Activities

Living in the suburbs or in the center of a city was preliminary but thought to be a key determinant for using carsharing services; however, it was not defined in any case as a key factor. The interviewees frequently provided contradictory responses related to this parameter. Nevertheless, despite the contradiction, it is considered that further exploration through quantitative research is critical since it is likely to be related with the “distance decay” parameter, which affects social computing platforms and volunteer geographic information platforms [53].
Serving the residential, work, or educational area by adequate public transportation was a reason for also using carsharing services. However, it did not appear to be a focal point in the decision-making process. P9 (Female, 25–34 years old) “I live in (…) there is a bus and it’s near the metro station… I do not have a car because I do not want to. Also, I do not need it because I work and go out in the center. I also can’t afford it and there is a lack of parking spaces… so I would have a subscription for a carsharing service to use whenever I need it”(sic) and P18 (Male, 35–44 years old) “… it is difficult use public transportation, you must drive first and then take either a train or a bus, so it’s preferable to go straight to your destination by car, that’s why I would use it, but I don’t know how often, but I would like to have this choice” (sic).
Parking provision: The level of availability of parking spaces, either around their residence or at various destinations, is a key factor in choosing carsharing. Many participants seem to appreciate this particular benefit of carsharing.
Dominant land uses: The dominant land uses in each area play an indirect role in choosing carsharing, since it is closely related to the purpose of each trip. For example, areas with recreational activities are likely to be accessed with carsharing: P6 (Male, 25–34 years old) …if I intended to visit Gazi (in central Athens) with friends, I would prefer to use carsharing services rather than use my own car as I would be afraid that drunk people would crash it…also because I would like to drink so I would travel by taxi, carsharing or both” (sic).
Crime rate: This parameter was particularly noticeable in interviewees familiar with carsharing economy or in those that were interested in it. The crime rate of an area is a determining factor for someone to use carsharing services. This term refers to crime incidents (of various seriousness) taking place in an area. P6 (Male, 25–34): “I would use it to go to places that I would not like to take my own car… if I was afraid that drunk people would damage or break my own car…” (sic). P15 (55–64 Male) “… if I had to go to an area that I knew it has high crime rate, I would probably not take my own car because I would be afraid of parking it there, but I would prefer a shared car…” (sic).

4.3. Emotional/Utilitarian Factors

Convenience: An important factor influencing the adoption of carsharing schemes is to enhance comfort and relaxation. The factor, according to the participants, reflects the opportunity to relieve them of their responsibilities, to reduce the stress of everyday life, to help them create more free time, and to assist them in saving money.
Usability (usefulness, functionality): Another criterion for the use of carsharing is how useful a service is, meaning the easiness of use and its functionality: more specifically, if it is easy to make a booking, if there are always cars available, if the platform is understandable, etc. This parameter also includes the factor of whether the interviewees need carsharing. P2 (Female, 35–44 years old): “I have a driving license and I do not have a car…so It would be of great use to me to have such a service” (sic).
Savings (time, money): The concept of the “savings” did not appear directly from the participant’’ responses but mainly emerged from the questions they were asking the researcher about the economic cost aspect of using carsharing: “and is it cheaper than having your own car”, “how much does it cost, to be a member?”, and “ which of the car expenses do you pay” (sic). During the interviews, “savings” have often been linked to time. If the use of these services saved time, then the participants stated a clear preference for carsharing schemes.
Lifestyle: Daily routine has to do with everyday habits, obligations, and problems faced by everyone. In cases where it was reported that carsharing “matches/does not suit my lifestyle” (sic), the interviewees have clarified that lifestyle is understood as the obligations, the problems, the things they want to do, and the things they actually do. This parameter is both an emotional and utilitarian approach to carsharing, influencing the intention to adopt carsharing notably.
Familiarity: This parameter greatly influences the intention to use carsharing since participants who had either used carsharing or had feedback from relatives or friends were keener to use it: “My roommate in Berlin often rented one, cause we did not have a car…” (sic). However, familiarity in some cases did not have to do with personal experience, but simply whether they had seen carsharing abroad “carsharing existed when I was studying in London…” and “I have seen it in European cities, but I do not know how it works…there were special signs at the airport and in parking spaces… I have seen a lot of people entering shared cars, but I have never used them” (sic). P1 (Female, 35–44 years old) for P2 carsharing “In the UK, let’s say, I know there is a possibility of renting cars, but I do not think they are private. They belong to some offices…, they bring you a car, you go out in the evening and the next day you notify them where you left it. -If there was a possibility to do that with an individual…, yes, I would rent one” (sic). Hearing experiences from others or even just seeing shared cars passing by, helps people to understand that carsharing is a feasible option. Hence, people who are not familiar, begin to consider a possible participation in such services.
Mentality (way of thinking—mindset): The interviews highlighted the importance of participants’ personality when choosing between using carsharing or not. The way people think, their habits, and their values affect their decision. The “mentality” parameter emerged especially when carsharing was rejected without actual reason. In those cases, it was rejected because the interviewees did not accept the idea of borrowing something or because they considered that a car “should” only be used by its owner. Respectively, carsharing is accepted and is likely to be adopted by those who believe in borrowing/lending/renting or do not want to own a car, but simply use one: P2 (Female, 35–44):”—You have no hesitation in renting something for a short period of time or that you do not own that object? -No. It relieves me of the fact that I do not own it” (sic).

5. Discussion

This research offers a valuable insight in the motives and deterrents people face (influential factors) in countries without a carsharing culture. Although in some countries, carsharing is a well-established transportation option, in some other cases (like Greece), people are reluctant to use it. Thus, this research work functions as a first step towards fully understanding people’s perception in terms of business and P2P carsharing respecting the cultural, sociodemographic, and geographic context (for similar studies see [54]). Notably, bearing upon the results of this qualitative study, it should be claimed that the main research hypothesis is verified. Therefore, the decision to choose a carsharing service depends on the personal characteristics, spatial attributes of the users’ activities, and emotional/utilitarian factors.
It should be noted that the process of interviews was long and exhausting for the interviewers, but it also offered a unique opportunity for understanding people’s thoughts, reactions, and stated opinion. It also offered some outcomes that cannot be grouped or classified, unveiling the power of qualitative methods [55]. After the end of the interview process, some interviewees started asking questions about carsharing (how it works, cost, etc.) showing interest in it. Strikingly, it is assumed that the process of the interview, in some cases, changed the degree of familiarity with carsharing. The line-by-line data analysis process was also long, but it provided valuable results as it enabled the creation of codes and concepts that were used and validated throughout the rest of the data analysis (codes creation is also appraised in [56]). The results (17 parameters) are grouped in three categories (Figure 1), which represent the main questions of this research: Who, Where, and Why.
The first category “who” includes the parameters that highlight the personal factors which are important to the process of choosing or rejecting carsharing: age, gender, marital status, daily responsibilities, place of residence/work, and ownership of a vehicle. The second category “where” sets light on the parameters that deal with place, such as centrality (indicated also as a factor by international literature), public transportation, parking provision, dominant land uses, and crime rate. The third category “why” addresses the emotional/utilitarian factors that affect the possibility to use carsharing services: facility-convenience, everyday life (lifestyle), savings (time, money), mindset–mentality, familiarity, and usability (usefulness, functionality). A summary of key results is presented in Table 3.
It is important to underline that the parameters are not assessed as positive or negative influences on carsharing, but rather as influential in general. Their influence in the choice of carsharing services should be further examined via quantitative research. To this end, future research shall utilize statistical methods like (multiple) linear or logistic regression. Furthermore, stated preference experiments could be worthwhile if one intends to explore future attitudes when different choices or scenarios emerge.
In an overview, it should be stressed that the findings of this work are mainly in line with other studies examining other contexts. Factors like age, gender, marital status, vehicle ownership, daily responsibilities, centrality, public transportation, parking provision, convenience, usability, savings (money and time), mindset, lifestyle, and familiarity were encountered in similar research works. Especially, age, gender, daily responsibilities, vehicle ownership, savings, mindset, lifestyle, and familiarity could be found in several relevant papers such as Jain et al. [28], Ullah et al. [20], Safdar et al. [21], Curtale et al. [17], ** tailor-made planning schemes. Coupling with the previous comments, the analysis of the interviews was a challenging task, providing noteworthy intuitions, but it could be deeper, reflecting more aspects of the carsharing culture in Greece. Temporally, the study is a snapshot that captures the motivations and challenges of carsharing at a particular point in time; while Greece’s socioeconomic and political dynamics change, these findings could change as well. Finally, this study was conducted in a specific context (i.e., Greece) with specific characteristics. As such, outcomes might be influenced, and caution should be exercised in generalizing the results to different contexts. Researchers are encouraged to consider these limitations when interpreting the findings and exploring further research pathways.
Despite the limitations, bearing upon the methods used, it should be strongly underlined that this study secures validity in all terms. The different types of validity demonstrated with respect to this specific study are as follows:
  • Descriptive validity (fundamental importance): this type of validity was ensured through carefully recording actual phrases from participants, demonstrating some of them in the text.
  • Interpretive validity: During the interview attitudes or even body language were also noted. This fact contributed to interpreting the data collected comprehensively, since every aspect of the interview and not only phrases were carefully recorded.
  • Theoretical validity: Data from interview must be explained adequately by theory. This research categorizes the responses based on the literature of Section 2; thus, successfully connecting theory and data.
  • Generalizability: This is a difficult task, when it comes to qualitative research. The outcomes of this research do not address every context related to carsharing; nevertheless, they could be generalized for similar contexts such as other Mediterranean countries.
  • Evaluative validity: Outcomes should be based on data. This research’s results rely on the various data gathered. In other words, it follows a qualitative evidence-based approach. This enables a sufficient level of evaluative validity.

6. Conclusions

Notably, this research sheds light on one major aspect of sharing economy, i.e., carsharing in the Mediterranean concept and especially in Greece, where current literature is still limited. Hence, this study signifies considerable contribution towards academic purposes. It is indeed one of the few studies to date added to the great canvas of the sharing economy literature revealing motives and challenges in an unexplored area. Nonetheless, this research work does not only entail academic contribution, but has also practical implications related to the private or public sector. To be more precise, this study can be used by carsharing companies/operators to promote carsharing services. Factors related to place of activities as well as emotional or utilitarian factors can also be utilized to improve carsharing services substantially. For instance, operators can take into account the outcomes of this research work, in order to apply efficient management to the fleet or customize their pricing policies. Moreover, they can use the factors revealed for develo** tailor-made solutions referring to the user platform or security issues. The results are also useful for local authorities that promote sustainable mobility schemes as carsharing lies at its core. To this end, policymakers and stakeholders can improve their urban mobility strategies, considering the benefits of carsharing schemes compared to private mobility. Moreover, they can build effective awareness campaigns that are expected to clarify the positive impact of carsharing services, thus increasing the acceptability of such schemes by the public. Finally, this research could provide significant help in planning carsharing systems in contexts with limited carsharing culture.
However, as transportation and mobility futures are uncertain [59,60], new research works should shed more light in how sharing economy can seriously influence the transportation sector in general. Several avenues of research can be explored to build on this study. A quantitative survey could provide a more general overview of the motivations and challenges of carsharing in Greece and complement the qualitative findings of this study (i.e., using inferential statistics, stated preference experiments, etc.). By focusing on specific populations such as young adults, the elderly, or people with disabilities, the unique challenges and motivations of these groups can be identified. Given the rapid technological advances in the field of mobility, especially in the field of electrification, a study that focuses on technological aspects in the Greek or in the Mediterranean context would be enlightening. In this direction, another step would be to measure the acceptance of specific carsharing transportation schemes like autonomous carsharing. Finally, understanding the role of government policies and regulations in the adoption of carsharing in Greece could provide valuable information for both researchers and policymakers. In any case, the scientific debate on sharing economy should be an ongoing process, constantly revealing different angles and identifying new insights for building a sustainable future.

Author Contributions

Conceptualization, A.V. and C.K.; methodology, A.V., C.K., S.T.; validation, A.V., C.K. and S.T.; formal analysis, S.T.; investigation, A.V. and C.K.; data curation, A.V., C.K. and S.T.; writing—original draft preparation, A.V., C.K.; writing—review and editing, C.K., S.T. and E.B.; visualization, S.T.; supervision, E.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Botsman, R.; Rogers, R. What’s Mine Is Yours: The Rise of Collaborative Consumption; Collins: London, UK, 2010; ISBN 9780007395910. [Google Scholar]
  2. Bakogiannis, E.; Siti, M.; Tsigdinos, S.; Vassi, A.; Nikitas, A. Monitoring the First Dockless Bike Sharing System in Greece: Understanding User Perceptions, Usage Patterns and Adoption Barriers. Res. Transp. Bus. Manag. 2019, 33, 100432. [Google Scholar] [CrossRef]
  3. Rabbitt, N.; Ghosh, B. A Study of Feasibility and Potential Benefits of Organised Car Sharing in Ireland. Transp. Res. Part D Transp. Environ. 2013, 25, 49–58. [Google Scholar] [CrossRef]
  4. Ryden, C.; Morin, E. Mobility Services for Urban Sustainability. Environmental Assessment. Moses Report WP6; Trivector Traffic AB: Stockholm, Sweden, 2005. [Google Scholar]
  5. Kent, J.L. Carsharing as Active Transport: What Are the Potential Health Benefits? J. Transp. Health 2014, 1, 54–62. [Google Scholar] [CrossRef]
  6. Rotaris, L.; Danielis, R.; Maltese, I. Carsharing Use by College Students: The Case of Milan and Rome. Transp. Res. Part A Policy Pract. 2019, 120, 239–251. [Google Scholar] [CrossRef]
  7. Shaheen, S.A.; Cohen, A.P. Growth in Worldwide Carsharing. Transp. Res. Rec. J. Transp. Res. Board 2007, 1992, 81–89. [Google Scholar] [CrossRef]
  8. Martin, E.W.; Shaheen, S.A. Greenhouse Gas Emission Impacts of Carsharing in North America. IEEE Trans. Intell. Transp. Syst. 2011, 12, 1074–1086. [Google Scholar] [CrossRef]
  9. Duncan, M. The Cost Saving Potential of Carsharing in a US Context. Transportation 2010, 38, 363–382. [Google Scholar] [CrossRef]
  10. Migliore, M.; D’Orso, G.; Caminiti, D. The Environmental Benefits of Carsharing: The Case Study of Palermo. Transp. Res. Procedia 2020, 48, 2127–2139. [Google Scholar] [CrossRef]
  11. Bonsall, P. Car Share and Car Clubs: Potential Impacts; Department of Transport, Local Government and the Regions and The Motorists Forum: London, UK, 2002. [Google Scholar]
  12. Schwartz, A.; Wipyewski, K.; Shaheen, S. US Car-Sharing and Station Car Policy Considerations: Monitoring Growth, Trends and Overall Impacts. Transp. Res. Rec. 2004, 7887, 128–136. [Google Scholar]
  13. Giesel, F.; Nobis, C. The Impact of Carsharing on Car Ownership in German Cities. Transp. Res. Procedia 2016, 19, 215–224. [Google Scholar] [CrossRef]
  14. Cervero, R. City CarShare: First-Year Travel Demand Impacts. Transp. Res. Rec. J. Transp. Res. Board 2003, 1839, 159–166. [Google Scholar] [CrossRef]
  15. Corbetta, P. Social Research: Theory, Methods and Techniques; Sage: London, UK, 2003. [Google Scholar]
  16. Burghard, U.; Dütschke, E. Who Wants Shared Mobility? Lessons from Early Adopters and Mainstream Drivers on Electric Carsharing in Germany. Transp. Res. Part D Transp. Environ. 2019, 71, 96–109. [Google Scholar] [CrossRef]
  17. Curtale, R.; Liao, F.; van der Waerden, P. User Acceptance of Electric Car-Sharing Services: The Case of the Netherlands. Transp. Res. Part A Policy Pract. 2021, 149, 266–282. [Google Scholar] [CrossRef]
  18. Münzel, K.; Boon, W.; Frenken, K.; Blomme, J.; van der Linden, D. Explaining Carsharing Supply across Western European Cities. Int. J. Sustain. Transp. 2020, 14, 243–254. [Google Scholar] [CrossRef]
  19. Wang, Y.; Yan, X.; Zhou, Y.; Xue, Q.; Sun, L. Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China. Int. J. Environ. Res. Public Health 2017, 14, 476. [Google Scholar] [CrossRef]
  20. Ullah, I.; Liu, K.; Vanduy, T. Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan. Sustainability 2019, 11, 808. [Google Scholar] [CrossRef]
  21. Safdar, M.; Jamal, A.; Al-Ahmadi, H.M.; Rahman, M.T.; Almoshaogeh, M. Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Develo** Country. Sustainability 2022, 14, 2778. [Google Scholar] [CrossRef]
  22. Chun, Y.-Y.; Matsumoto, M.; Tahara, K.; Chinen, K.; Endo, H. Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia. Sustainability 2019, 11, 5103. [Google Scholar] [CrossRef]
  23. Hu, B.; Zhang, Y.; Feng, C.; Dong, X. Understanding the Characteristics of Car-Sharing Users and What Influences Their Usage Frequency. Inf. Process. Manag. 2023, 60, 103400. [Google Scholar] [CrossRef]
  24. Zhou, B.; Kockelman, K.M. Opportunities for and Impacts of Carsharing: A Survey of the Austin, Texas Market. Int. J. Sustain. Transp. 2011, 5, 135–152. [Google Scholar] [CrossRef]
  25. Acheampong, R.A.; Siiba, A. Modelling the Determinants of Car-Sharing Adoption Intentions among Young Adults: The Role of Attitude, Perceived Benefits, Travel Expectations and Socio-Demographic Factors. Transportation 2019, 47, 2557–2580. [Google Scholar] [CrossRef]
  26. Ohta, H.; Fujii, S.; Nishimura, Y.; Kozuka, M. Analysis of the Acceptance of Carsharing and Eco-Cars in Japan. Int. J. Sustain. Transp. 2013, 7, 449–467. [Google Scholar] [CrossRef]
  27. Schaefers, T. Exploring Carsharing Usage Motives: A Hierarchical Means-End Chain Analysis. Transp. Res. Part A Policy Pract. 2013, 47, 69–77. [Google Scholar] [CrossRef]
  28. Jain, T.; Rose, G.; Johnson, M. “Don’t You Want the Dream?”: Psycho-Social Determinants of Car Share Adoption. Transp. Res. Part F Traffic Psychol. Behav. 2021, 78, 226–245. [Google Scholar] [CrossRef]
  29. ** a Framework for a Qualitative Semi-Structured Interview Guide. J. Adv. Nurs. 2016, 72, 2954–2965. [Google Scholar] [CrossRef] [PubMed]
  30. World Bank Urban Population (% of Total Population)-Greece. Available online: https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?locations=GR (accessed on 15 August 2023).
  31. Martínez-Mesa, J.; González-Chica, D.A.; Duquia, R.P.; Bonamigo, R.R.; Bastos, J.L. Sampling: How to Select Participants in My Research Study? An. Bras. Dermatol. 2016, 91, 326–330. [Google Scholar] [CrossRef] [PubMed]
  32. Münzel, K.; Boon, W.; Frenken, K.; Vaskelainen, T. Carsharing Business Models in Germany: Characteristics, Success and Future Prospects. Inf. Syst. e-Bus. Manag. 2017, 16, 271–291. [Google Scholar] [CrossRef]
  33. Ballús-Armet, I.; Shaheen, S.A.; Clonts, K.; Weinzimmer, D. Peer-To-Peer Carsharing. Transp. Res. Rec. J. Transp. Res. Board 2014, 2416, 27–36. [Google Scholar] [CrossRef]
  34. Beria, P.; Laurino, A.; Maltese, I.; Mariotti, I.; Boscacci, F. Analysis of Peer-To-Peer Car Sharing Potentialities. In Electric Vehicle Sharing Services for Smarter Cities; Research for Development; Springer: Cham, Switzerland, 2017; pp. 59–77. [Google Scholar]
  35. Noble, H.; Smith, J. Issues of Validity and Reliability in Qualitative Research. Evid. Based Nurs. 2015, 18, 34–35. [Google Scholar] [CrossRef] [PubMed]
  36. Maxwell, J. Understanding and Validity in Qualitative Research. Harv. Educ. Rev. 1992, 62, 279–301. [Google Scholar] [CrossRef]
  37. Tao, Z.; Nie, Q.; Zhang, W. Research on Travel Behavior with Car Sharing under Smart City Conditions. J. Adv. Transp. 2021, 2021, 8879908. [Google Scholar] [CrossRef]
  38. Haklay, M. How Good Is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets. Environ. Plan. B Plan. Des. 2010, 37, 682–703. [Google Scholar] [CrossRef]
  39. Valor, C. Anticipated Emotions and Resistance to Innovations: The Case of P2P Car-Sharing. Environ. Innov. Soc. Transit. 2020, 37, 50–65. [Google Scholar] [CrossRef]
  40. Creswell, J.W.; Poth, C.N. Qualitative Inquiry & Research Design: Choosing among Five Approaches, 4th ed.; SAGE Publications: Los Angeles, CA, USA, 2018; ISBN 9781506330204. [Google Scholar]
  41. Knott, E.; Rao, A.H.; Summers, K.; Teeger, C. Interviews in the Social Sciences. Nat. Rev. Methods Primers 2022, 2, 73. [Google Scholar] [CrossRef]
  42. Parente, R.C.; Geleilate, J.-M.G.; Rong, K. The Sharing Economy Globalization Phenomenon: A Research Agenda. J. Int. Manag. 2018, 24, 52–64. [Google Scholar] [CrossRef]
  43. Narayanan, S.; Antoniou, C. Expansion of a Small-Scale Car-Sharing Service: A Multi-Method Framework for Demand Characterization and Derivation of Policy Insights. J. Transp. Geogr. 2022, 104, 103438. [Google Scholar] [CrossRef]
  44. Lyons, G. The Driverless Cars Emulsion: Using Participatory Foresight and Constructive Conflict to Address Transport’s Wicked Problems. Futures 2022, 136, 102889. [Google Scholar] [CrossRef]
  45. Tsigdinos, S.; Tzouras, P.G.; Bakogiannis, E.; Kepaptsoglou, K.; Nikitas, A. The Future Urban Road: A Systematic Literature Review-Enhanced Q-Method Study with Experts. Transp. Res. Part D Transp. Environ. 2022, 102, 103158. [Google Scholar] [CrossRef]
Figure 1. Key factors in a carsharing system.
Figure 1. Key factors in a carsharing system.
Futuretransp 03 00059 g001
Table 1. Research questions.
Table 1. Research questions.
TopicResearch QuestionMethod
Use-
Intention to use
Does the public know the existence of carsharing services?Conversation about shared cars
If they do, have they used them? Do they have the intention to use them (if they existed in Greece)?Direct question
What is public’s attitude toward sharing cars?Conversation based on the previous answer
Do people understand how they work, in a country that has not actually implemented such practices?Indirect question, through references to personal experience of the researcher or of other interviewees
MotivesWhat are the motives when using carsharing?In-depth discussion of advantages in relation to other transportation modes
Under what conditions would those in favor of carsharing, use it?Direct question
Challenges-ObstaclesWhat is it that prevents people from using it?Direct question about the reasons that prevent people from using carsharing
Are there any obstacles related to specific parameters? (Characteristics of the person, place of residence, etc.)In-depth discussion of parameters that contribute to not using/not intending to use sharing cars
Is there a way to remove these obstacles?In-depth discussion
Table 2. Parameters that promote or hinder carsharing use.
Table 2. Parameters that promote or hinder carsharing use.
CATEGORIESPersonal Characteristics
(Who?)
Place of Activities
(Where?)
Emotional/Utilitarian Factors
(Why?)
PARAMETERSAgeCentralityFacility–Convenience
GenderPublic transportationEveryday life (lifestyle)
Marital StatusParking provisionSavings (time, money)
ResponsibilitiesDominant land usesMindset–Mentality
Place of residence/workFear of crimeFamiliarity
Vehicle ownership Usability (usefulness, functionality)
Table 3. Summary of the results.
Table 3. Summary of the results.
CategoryFactorKey InsightStudies with Same Outcomes
WHOAgeThe relation between the intention to use carsharing and age lies in the ease/difficulty of using the carsharing platform.Burghard and Dutschke [16]; Ullah et al. [20]; Safdar et al. [21]; Hu et al. [23]; Ohta et al. [26]; Nikiforiadis et al. [37]
GenderThe reasons for not using carsharing services were completely different between men and women, men due to stereotypical lifestyle reasons and women because of uncertainty about the reliability of the service. Ullah et al. [20]; Hu et al. [23]; Acheampong and Siiba [25]; Ohta et al. [26]; Tao et al. [52]
Marital statusMarried couples are more favorable for using carsharing, especially if they have kids.Burghard and Dutschke [16]
Daily responsibilitiesMany participants indicated their daily life as an influencing factor and demanded reliability of the services.Wang et al. [19]; Hu et al. [23]; Ohta et al. [26]
Place of residence/workDuring the interviews, particular focus was given to the “place” parameter. Participants showed greater interest when they claim to live or work in areas lacking an adequate transportation system.-
WHEREVehicle ownershipEven though the “non-owners” were more positive about using a shared car, the “owners” did not reject the idea. Tailored-made policy measures could attract both for using carsharing services.Burghard and Dutschke [16]; Zhou and Kockelman [24]; Ohta et al. [26]
CentralityThe interviewees frequently provided contradictory responses related to this parameter. Some participants mentioned that living in the suburbs affects carsharing adoption, however, others argued that is not a matter of centrality.Ohta et al. [26]
Public transportationServing the residential, work, or educational area by adequate public transportation was a reason for also using carsharing services. Participants showed interest to carsharing-public transportation cooperation.Acheampong and Siiba [25]; **e et al. [29]
Parking provisionCarsharing benefit of liberating users from parking search, motivated respondents to express positive words about such services.**e et al. [29]
Dominant land usesParticipants were found to emphasize on the dominant land uses; indirectly though-
Crime rateThe crime rate of an area is a determining factor for someone to use carsharing services. Many of the participants appraised carsharing when they thought about visiting areas with high crime rate. -
WHYConvenienceThis factor, according to the participants, reflects the opportunity to relieve them of their responsibilities, to reduce the stress of everyday life and to help them create more free time. Jain et al. [28]; **e et al. [29]
UsabilityUser-friendly environments were mentioned by almost all the participants. Easiness is a key for adopting carsharing. Acheampong and Siiba [25]; **e et al. [29]
SavingsSavings are related to both money (cost) and time. Especially about time, participants claimed that time savings would be an attractor for choosing carsharing services. Curtale et al. [17]; Ullah et al. [20]; Safdar et al. [21]; Hu et al. [23]; Jain et al. [28]; **e et al. [29]
MindsetThe interviews highlighted the importance of participants’ personality when choosing between using carsharing or not. Some participants were reluctant to use carsharing due to unwillingness of sharing in general.Curtale et al. [17]; Jain et al. [17]; **e et al. [29]; Efthymiou et al. [36]
LifestyleLifestyle applies to the habits and attitudes of the users. It is also indirectly related to income. Participants feel that lifestyle directly affects the intention to use carsharing. Curtale et al. [17]; Münzel et al. [18]; Chun et al. [22]; Acheampong and Siiba [25]
FamiliarityThis parameter greatly influences the intention to use carsharing since participants who had either used carsharing or had feedback from relatives or friends were keener to use it. Carsharing should invest on awareness campaigns.Wang et al. [19]; Acheampong and Siiba [25]; Ohta et al. [26]
Table 4. Policy suggestions for appraising carsharing in the Greek context.
Table 4. Policy suggestions for appraising carsharing in the Greek context.
CategoryFactorsPolicy
WHOAgeUser-friendly platform
Employment of other alternative ways to foster people that are not familiar with technology
GenderAwareness campaign for men
Enable trustworthiness in the scheme for women
Marital statusPricing adjusted to travel behavior, for instance, affordable prices enabling parents to take multiple trips
Daily responsibilitiesEfficient management ensuring car availability that will suit individuals’ daily responsibilities (MaaS system)
Place of residence/workAdjust supply of shared cars in areas that are problematic in terms of walking and public transportation, but also in areas with intense traffic congestion.
Ensure safety for areas with high fear of crime
Ownership of a vehicleCompetitive pricing for car owners to shift their interest towards carsharing
WHERECentralityCarsharing schemes should be prioritized in suburban and rural areas
Public transportationIntegrated measures should be at the forefront (MaaS service). Partnerships between carsharing companies and public transportation authorities. Coordinated routes with public transportation lines. Integrated fare for both carsharing and public transportation system (“One fare-two systems”)
ParkingDedicated carsharing parking spaces: these spaces should be located near public transportation hubs and residential and commercial areas
Carsharing schemes should be enhanced in areas with parking difficulties
Dominant land usesCarsharing schemes should be promoted in recreational areas, especially during night hours
Commercial areas should be prioritized as well (access to areas that conventional cars are excluded)
Crime rateEnsure safety for areas with high crime rate
WHYConvenienceCars involved in this scheme should be comfortable and clean
UsabilityUser-friendly platform
Employment of other alternative ways to foster people that are not familiar with technology
SavingsAffordable schemes with special discounts
Efficient management to achieve high accuracy in terms of time (e.g., dedicated lanes, access to streets that conventional cars are excluded)
MindsetAwareness campaign about sharing economy and carsharing in particular and its benefits
LifestyleAwareness campaign about sharing economy and carsharing in particular and its benefits
Efficient management ensuring car availability that will suit individuals’ daily responsibilities
FamiliarityAwareness campaign about carsharing schemes
User-friendly platform to increase familiarity
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Vassi, A.; Karolemeas, C.; Tsigdinos, S.; Bakogiannis, E. Motivational Patterns and Personal Characteristics of Potential Carsharing Users: A Qualitative Analysis. Future Transp. 2023, 3, 1068-1084. https://doi.org/10.3390/futuretransp3030059

AMA Style

Vassi A, Karolemeas C, Tsigdinos S, Bakogiannis E. Motivational Patterns and Personal Characteristics of Potential Carsharing Users: A Qualitative Analysis. Future Transportation. 2023; 3(3):1068-1084. https://doi.org/10.3390/futuretransp3030059

Chicago/Turabian Style

Vassi, Avgi, Christos Karolemeas, Stefanos Tsigdinos, and Efthimios Bakogiannis. 2023. "Motivational Patterns and Personal Characteristics of Potential Carsharing Users: A Qualitative Analysis" Future Transportation 3, no. 3: 1068-1084. https://doi.org/10.3390/futuretransp3030059

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