Sharing mobility solutions in remote touristic area: case study of Lithuania
Abstract
Sharing mobility solutions changes people’s lives in cities; however, such services are not common in remote areas, where the most widespread transport mode is a privately owned car. The main challenge is that the existing transport system fails to meet the population’s daily travel needs in such regions. Sharing mobility covers environmental issues, infrastructure development, digitalisation, integration of different transport modes, and people behaviour changes. This study analyses the possibility of expanding the existing urban mobility sharing system in remote tourist areas of Lithuania; for this purpose, a small resort in the central part of Lithuania – Birštonas was selected, and a survey of residents and tourists (visitors) was conducted. Using the survey results of residents and tourists, the needs for Car Sharing (CS) and micro-mobility services are determined. The attitude of municipality, residents, tourists, service providers towards micro mobility and vehicle sharing services is determined. Based on the achieved results, further steps of service development are proposed. The article’s main aim is to evaluate the views of various stakeholders on the development of micro mobility and CS systems in remote areas and propose development solutions.
Keyword : car sharing, bike sharing, sharing economy, mobility, rural areas, survey, questionnaires
How to Cite
Ušpalytė-Vitkūnienė, R., Bureika, G., Burinskienė, M., Vabuolytė, V., & Skrickij, V. (2022). Sharing mobility solutions in remote touristic area: case study of Lithuania. Transport, 37(4), 241–250. https://doi.org/10.3846/transport.2022.18012
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Clark, M.; Gifford, K.; Anable, J.; Le Vine, S. 2015. Business-to-business carsharing: evidence from Britain of factors associated with employer-based carsharing membership and its impacts, Transportation 42(3): 471–495. https://doi.org/10.1007/s11116-015-9609-y
CRS. 2021. Sample Size Calculator. Creative Research Systems (CRS). Available from Internet: https://www.surveysystem.com/sscalc.htm
Curtale, R.; Liao, F.; Van der Waerden, P. 2021a. Understanding travel preferences for user-based relocation strategies of one-way electric car-sharing services, Transportation Research Part C: Emerging Technologies 127: 103135. https://doi.org/10.1016/j.trc.2021.103135
Curtale, R.; Liao, F.; Van der Waerden, P. 2021b. User acceptance of electric car-sharing services: the case of the Netherlands, Transportation Research Part A: Policy and Practice 149: 266–282. https://doi.org/10.1016/j.tra.2021.05.006
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Giordano, D.; Vassio, L.; Cagliero, L. 2021. A multi-faceted characterization of free-floating car sharing service usage, Transportation Research Part C: Emerging Technologies 125: 102966. https://doi.org/10.1016/j.trc.2021.102966
Haustein, S. 2021. What role does free-floating car sharing play for changes in car ownership? Evidence from longitudinal survey data and population segments in Copenhagen, Travel Behaviour and Society 24: 181–194. https://doi.org/10.1016/j.tbs.2021.04.003
Hsieh, F.-S. 2020. A comparative study of several metaheuristic algorithms to optimize monetary incentive in ridesharing systems, ISPRS International Journal of Geo-Information 9(10): 590. https://doi.org/10.3390/ijgi9100590
Illgen, S.; Höck, M. 2020. Establishing car sharing services in rural areas: a simulation-based fleet operations analysis, Transportation 47(2): 811–826. https://doi.org/10.1007/s11116-018-9920-5
KPMG International. 2012. KPMG’s Global Automotive Executive Survey 2012. 62 p. Available from Internet: https://www.compromisorse.com/upload/estudios/000/176/AutoExecSurvey2012.pdf
Le Vine, S.; Lee-Gosselin, M.; Sivakumar, A.; Polak, J. 2014. A new approach to predict the market and impacts of round-trip and point-to-point carsharing systems: case study of London, Transportation Research Part D: Transport and Environment 32: 218–229. https://doi.org/10.1016/j.trd.2014.07.005
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MARA. 2019. Study the Possibility of Extending Existing Car Sharing Solutions to Touristic Remote Areas Birštonas City and Druskininkai City. Mobility and Accessibility in Rural Areas (MARA) – European Project Funded by the INTERREG Baltic Sea Region programme. Available from Internet: https://www.mara-mobility.eu/regions/cases/14-cases/48-study-the-possibility-of-extending-existing-car-sharing-solutions-to-touristic-remote-areas-birstonas-city-and-druskininkai-city
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Mont, O.; Palgan, Y. V.; Bradley, K.; Zvolska, L. 2020. A decade of the sharing economy: concepts, users, business and governance perspectives, Journal of Cleaner Production 269: 122215. https://doi.org/10.1016/j.jclepro.2020.122215
Movmi. 2018. Understanding the Car Sharing Business Model and How to Build Yours. Movmi Community. Available from Internet: https://movmi.net/blog/car-sharing-business-model
Münzel, K.; Boon, W.; Frenken, K.; Vaskelainen, T. 2018. Carsharing business models in Germany: characteristics, success and future prospects, Information Systems and e-Business Management 16(2): 271–291. https://doi.org/10.1007/s10257-017-0355-x
Novikova, O. 2017. The sharing economy and the future of personal mobility: new models based on car sharing, Technology Innovation Management Review 7(8): 27–31. http://doi.org/10.22215/timreview/1097
Perschl, M.; Posch, A. 2016. Carsharing – ein Mobilitätsansatz auch für den ländlichen Raum?, Lernweltforschung 18: 243–268. https://doi.org/10.1007/978-3-658-10524-2_12 (in German).
Rotaris, L.; Danielis, R. 2018. The role for carsharing in medium to small-sized towns and in less-densely populated rural areas, Transportation Research Part A: Policy and Practice 115: 49–62. https://doi.org/10.1016/j.tra.2017.07.006
Seemann, A. K.; Knoechel, S. 2017. Carsharing in rural areas. Challenges and potentials for managing public transportation at local government level, Internationales Verkehrswesen 69(1): 50–53.
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 E. Deakin (Ed.). Transportation, Land Use, and Environmental Planning, 237–262. https://doi.org/10.1016/B978-0-12-815167-9.00013-X
Sopjani, L.; Stier, J. J.; Hesselgren, M.; Ritzén, S. 2020. Shared mobility services versus private car: Implications of changes in everyday life, Journal of Cleaner Production 259: 120845. https://doi.org/10.1016/j.jclepro.2020.120845
Stathopoulos, A.; Sener, I. N. 2017. Transforming mobility systems with sharing and automation, Transportation 44(6): 1255–1259. https://doi.org/10.1007/s11116-017-9816-9
Statistics Lithuania. 2020. Official Statistics Portal. Lithuania. 2020. Available from Internet: https://osp.stat.gov.lt
Stauskis, G.; Burinskienė, M.; Ušpalytė-Vitkūnienė, R. 2017. Inovatyvaus automobilių dalinimosi paslaugos valdymo sprendimo sukūrimas. Projekto Nr. J05-LVPA-K-01-0187 ataskaita. UAB „CityBee Solutions“, Vilnius. (in Lithuanian).
Tart, S.; Wells, P.; Beccaria, S.; Sanvicente, E. 2018. Analysis of Business Models for Car Sharing. Deliverable D3.1. Project “Shared Mobility Opportunities and Challenges for European Cities (STARS)” under H2020 Programme Grant Agreement No 769513. 77 p. Available from Internet: http://stars-h2020.eu/wp-content/uploads/2019/06/STARS-D3.1.pdf