Communications - Scientific Letters of the University of Zilina 2022, 24(3):G1-G14 | DOI: 10.26552/com.C.2022.3.G1-G14

Assessing the Propensity to Car Sharing Services in University Cities: Some Insights for Developing the Co-Creation Process

Vincenza Torrisi ORCID...1, Tiziana Campisi ORCID...2, *, Matteo Ignaccolo ORCID...1, Giuseppe Inturri ORCID...3, Giovanni Tesoriere ORCID...2
1 Department of Civil Engineering and Architecture, University of Catania, Italy
2 Faculty of Engineering and Architecture, Kore University of Enna, Italy
3 Department of Electric, Electronic and Computer Engineering, University of Catania, Italy

Cities are often characterised by the presence of universities and by a greater number of students, often commuters, with an average age of less than 30 years. The study focused on the city of Enna (Italy), where the university students represent a significant percentage of residents and also a good rate of local travel demand. The survey campaign was conducted over a period of more than one year. A bivariate statistical method was applied highlighting significant variables regarding several features of a car sharing system. Additionally, non-parametric statistics and a before and after analysis were performed to evaluate the influence of implementation of the shared transport service. The results can also offer insights into the improvement of transport supply in urban context and the possible implementation of the co-creation actions between the companies managing the service with the end-users.

Keywords: sharing economy, propensity to car sharing sustainable transport systems bivariate analysis, non-parametric test, before and after analysis, co-creation

Received: January 20, 2021; Accepted: May 6, 2022; Prepublished online: June 14, 2022; Published: July 1, 2022  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Torrisi, V., Campisi, T., Ignaccolo, M., Inturri, G., & Tesoriere, G. (2022). Assessing the Propensity to Car Sharing Services in University Cities: Some Insights for Developing the Co-Creation Process. Communications - Scientific Letters of the University of Zilina, 24(3), G1-14. doi: 10.26552/com.C.2022.3.G1-G14
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. ACAMPA, G., TICALI, D., & PARISI, C. M. (2019, December). Value of travel time: An economic assessment for transport appraisal decision-makers. In AIP Conference Proceedings (Vol. 2186, No. 1, p. 160009). AIP Publishing LLC https://doi.org/10.1063/1.5138077 Go to original source...
    2. ARBELÁEZ VÉLEZ, A. M., & PLEPYS, A. (2021). Carsharing as a strategy to tackle greenhouse gas emissions in the transport system: Assessing the effects of carsharing in Amsterdam. Sustainability, 13(4), 2418. Go to original source...
    3. ATASOY, B., AZEVEDO, C. M. L., AKKINEPALLY, A. P., SESHADRI, R., ZHAO, F., & ABOU-ZEID, M. (2019). SMART mobility via prediction, optimization and personalization. In Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns. Elsevier Go to original source...
    4. BASBAS, S., GEORGIADIS, G., CAMPISI, T., & TESORIERE, G. (2021, September). Factors Influencing Public Transport Demand in Sicily During COVID-19 Era: A Study of Commuters' Travel and Mode Choice Behaviors. In International Conference on Computational Science and Its Applications (pp. 339-353). Springer, Cham. Go to original source...
    5. BELZUNEGUI-ERASO, A., & ERRO-GARCÉS, A. (2020). Teleworking in the Context of the COVID-19 Crisis. Sustainability, 12(9), 3662. Go to original source...
    6. BOJKOVIĆ, N., JEREMIĆ, V., PETROVIĆ, M., & TICA, S. (2019). Preferences for car sharing service attributes among university students: Evidence from an emerging market. JEEMS Journal of East European Management Studies, 24(4), 636-653. Go to original source...
    7. CAMPISI, T. ., BASBAS, S., AL-RASHID, M. A., TESORIERE, G., GEORGIADIS, G. (2021). A region-wide survey on emotional and psychological impacts of COVID-19 on public transport choices in Sicily, Italy. Trans. Transp. Sci, 2, 1-10. Go to original source...
    8. CAMPISI, T., BASBAS, S., SKOUFAS, A., AKGÜN, N., TICALI, D., & TESORIERE, G. (2020). The impact of COVID-19 pandemic on the resilience of sustainable mobility in Sicily. Sustainability, 12(21), 8829. Go to original source...
    9. CECCATO, R., & DIANA, M., (2018). Substitution and complementarity patterns between traditional transport means and carsharing: a person and trip level analysis. Transportation, 1-18 Go to original source...
    10. CECCATO, R., ROSSI, R., & GASTALDI, M. (2021). Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova. Sustainability, 13(12), 6596. Go to original source...
    11. COOK, T., D. AND CAMPBELL, D., T., 1979. Quasi-Experimentation: Design and Analysis Issues for Field Settings. Chicago: Rand MacNally.
    12. CURTIS, K., & YOUNGQUIST, S. T. (2013). Part 21: categoric analysis: Pearson chi-square test. Air medical journal, 32(4), 179-180. Go to original source...
    13. DIANA, M., & CECCATO, R. (2019). A multimodal perspective in the study of car sharing switching intentions. Transportation Letters, 1-7. Go to original source...
    14. DIAS, F. F., LAVIERI, P. S., GARIKAPATI, V. M., ASTROZA, S., PENDYALA, R. M., & BHAT, C. R. (2017). A behavioural choice model of the use of car-sharing and ride-sourcing services. Transportation, 44(6), 1307-1323. Go to original source...
    15. DUDAU, A., GLENNON, R. & VERSCHUERE, B. (2019). Following the yellow brick road? (dis)enchantment with co-design, co-production and value co-creation in public services, Public Management Review 21(11): 1577-1594. Go to original source...
    16. EFTHYMIOU, D. AND ANTONIOU, C., (2016). Modeling the propensity to join carsharing using hybrid choice models and mixed survey data, Transport Policy, 51, pp. 143-149. Go to original source...
    17. EFTHYMIOU, D., CHANIOTAKIS, E., & ANTONIOU, C. (2020). Factors affecting the adoption of vehicle sharing systems. In Demand for Emerging Transportation Systems (pp. 189-209). Elsevier. Go to original source...
    18. FOLKESTAD, C. A., HANSEN, N., FAGERHOLT, K., ANDERSSON, H., & PANTUSO, G. (2020). Optimal charging and repositioning of electric vehicles in a free-floating carsharing system. Computers & Operations Research, 113, 104771 Go to original source...
    19. GRONROOS, C. & RAVALD, A. (2011). Service as business logic: Implications for value creation and marketing, Journal of Service Management 22: 5-22. Go to original source...
    20. HELFERT, M., KLEIN, C., DONNELLAN, B., & GUSIKHIN, O. (Eds.). (2021). Smart Cities, Green Technologies and Intelligent Transport Systems: 8th International Conference, SMARTGREENS 2019, and 5th International Conference, VEHITS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Revised Selected Papers (Vol. 1217). Springer Nature. Go to original source...
    21. HENSHER, D. A., MULLEY, C., HO, C., WONG, Y., SMITH, G., & NELSON, J. D. (2020). Understanding Mobility as a Service (MaaS): Past, present and future. Elsevier.
    22. KENT, J. L. (2014). Carsharing as active transport: What are the potential health benefits? Journal of Transport & Health, 1(1), 54-62. Go to original source...
    23. KUHN, M., MARQUARDT, V., & SELINKA, S. (2021). "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(13), 7414. Go to original source...
    24. LIAO, F., & CORREIA, G. (2020). Electric carsharing and micromobility: A literature review on their usage pattern, demand, and potential impacts. International Journal of Sustainable Transportation, 1-30. Go to original source...
    25. LIKERT, R., (1932). A technique for the measurement of attitudes. Arch. Psychol. 200 (1932), 140,55.
    26. LOUVIERE, J.J., MEYER, R.J., BUNCH, D.S., CARSON, R., DELLAERT, B., HANEMANN, W.M., HENSHER, D., IRWIN, J., (1999). Combining sources of preference data for modeling complex decision processes. Mark. Lett.10 (3), 205-217. Go to original source...
    27. MOSLEM, S., CAMPISI, T., SZMELTER-JAROSZ, A., DULEBA, S., NAHIDUZZAMAN, K. M., & TESORIERE, G. (2020). Best-worst method for modelling mobility choice after COVID-19: evidence from Italy. Sustainability, 12(17), 6824. Go to original source...
    28. MÜNZEL, K., BOON, W., FRENKEN, K., BLOMME, J., & VAN DER LINDEN, D. (2019). Explaining carsharing supply across Western European cities. International Journal of Sustainable Transportation, 1-1. Go to original source...
    29. [29]SANDERS, E.B.-N., & STAPPERS, P.J. (2008) "Co-Creation and the New Landscapes of Design" CoDesign 4.1(2008): 5-18. https://doi.org/10.1080/15710880701875068 Go to original source...
    30. SHADISH, W., R., COOK, T., D. AND CAMPBELL, D., T., (1991). Experimental and Quasi-Experimental Designs fors Generalized Causal Inference. Cengage Learning, Inc. ISBN-13: 978-0395615560
    31. SHAHEEN, S., COHEN, A., CHAN, N., & BANSAL, A. (2020). Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes. In Transportation, land use, and environmental planning (pp. 237-262). Elsevier. Go to original source...
    32. SHARPE, D. (2015). Chi-Square Test is Statistically Significant: Now What?. Practical Assessment, Research, and Evaluation, 20(1), 8.
    33. SPREI, F., (2018). Disrupting mobility. Energy Res. Soc. Sci. 37, 238-242. https://doi.org/10.1016/j.erss.2017.10.029. Go to original source...
    34. TORRISI, V., IGNACCOLO, M., & INTURRI, G. (2017a). Estimating travel time reliability in urban areas through a dynamic simulation model. Transportation Research Procedia, 27, 857-864. Go to original source...
    35. TORRISI, V., IGNACCOLO, M., & INTURRI, G. (2017b). Analysis of road urban transport network capacity through a dynamic assignment model: validation of different measurement methods. Transportation Research Procedia, 27, 1026-1033. Go to original source...
    36. TUROŃ, K., KUBIK, A., & CHEN, F. (2021). Electric shared mobility services during the pandemic: Transport modelling aspects. Energies, 14(9), 2622. Go to original source...
    37. ZHOU, J. (2012). An analysis of university employee car-sharers in Los Angeles. Transportation Research Part D: Transport and Environment, 17(8), 588-591 Go to original source...
    38. ZHOU, F., ZHENG, Z., WHITEHEAD, J., PERRONS, R. K., WASHINGTON, S., & PAGE, L. (2020). Examining the impact of car-sharing on private vehicle ownership. Transportation Research Part A: Policy and Practice, 138, 322-34. Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content