Smart and sustainable urban mobility - public and shared transport users’ behavior in Gdynia city: a case study

• Autorzy: Przybyłowski Adam , Kaszuba Agnieszka , Suchanek Michał

Identyfikatory

DOI

10.20858/tp.2023.19.2.03

• Języki publikacji: EN

Abstrakty

EN

Novel technologies have resulted in the unprecedented and dynamic development of transport systems - one of the most important sectors of the economy. The implementation of smarter commuting solutions, in order to improve the processes of transportation, allows for cost and energy saving, better organization of time, and, as a result, an increase in quality of life. Also, this supports the operationalization of the sustainable development concept, enabling a compact and efficient urban transport system to be developed. The purpose of this paper is to analyze smart urban mobility development prerequisites and challenges, taking Gdynia city public and shared transport users’ preferences and transport behavior as a case study. A research hypothesis has been formulated stating that most commuters have sufficient digital competencies and benefit from the available modern technological solutions contributing to smarter and more sustainable urban development. The obtained results prove the importance of the role the digital world plays these days and show how the impact of technology on the transportation sector has helped to develop new opportunities for urban mobility.

Słowa kluczowe

EN

cities; digital competences; public transport; shared transport; smart mobility; sustainable mobility

PL

miasta; kompetencje cyfrowe; transport publiczny; transport współdzielony; inteligentna mobilność; zrównoważona mobilność

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2024
• Tom: T. 19, z. 2
• Strony: 33--46
• Opis fizyczny: Bibliogr. 40 poz.

Twórcy

autor

Przybyłowski Adam

• Gdynia Maritime University, Department of Transport, Morska 81-87, Gdynia, 81-225, Poland

• https://orcid.org/0000-0001-8789-4649

autor

Kaszuba Agnieszka

• Gdynia Maritime University, Department of Transport, Morska 81-87, Gdynia, 81-225, Poland

• https://orcid.org/0000-0001-9661-1196

autor

Suchanek Michał

• University of Gdansk, Department of Economics and Management of Transport Companies, Bażyńskiego 8, Gdańsk, 80-309, Poland

• https://orcid.org/0000-0003-3506-6686

Bibliografia

• 1. Balogun, A.L. & et al. Assessing the Potentials of Digitalization as a Tool for Climate Change. Adaptation and Sustainable Development in Urban Centres. Sustain Cities Soc. 2020. Vol. 53. DOI: 10.1016/j.scs.2019.101888.
• 2. Ning, Z. & Xia, F. & Ullah, N. & Kong, X. & Hu, X. Vehicular social networks: Enabling smart mobility, IEEE Communications Magazine. 2017. Vol. 55. No. 5. DOI: 10.1109/MCOM.2017.1600263.
• 3. Okafor, C.C. & Aigbavboa, C. & Thwala, W.D. A Delphi approach to evaluating the success factors for the application of smart mobility systems in smart cities: a construction industry perspective. International Journal of Construction Management. 2021. DOI: 10.1080/15623599.2021.1968567.
• 4. Zaffagnini, T. & Lelli, G. & Fabbri, I. & Negri, M. Innovative street furniture supporting electric micro-mobility for active aging. Studies in Computational Intelligence. 2022. Vol. 1011. DOI: 10.1007/978-981-16-8488-3_15.
• 5. Savithramma, R.M. & Ashwini, B.P. & Sumathi, R. Smart mobility implementation in smart cities: a comprehensive review on state-of-art technologies. 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). Tirunelveli, India. 2022. P. 10-17. DOI: 10.1109/icssit53264.2022.9716288.
• 6. Abdelfattah, L. & Deponte, D. & Fossa, G. The 15-minute city: interpreting the model to bring out urban resiliencies. In: Transportation Research Procedia. 2022. DOI: 10.1016/j.trpro.2021.12.043.
• 7. Campisi, T. & Severino, A. & Al-rashid, M.A. & Pau, G. The development of the smart cities in the connected and autonomous vehicles (Cavs) era: From mobility patterns to scaling in cities. Infrastructures. 2021. Vol. 6. No. 7. DOI: 10.3390/infrastructures6070100.
• 8. Jioudi, B. & Amari, A. & Moutaouakkil, F. & Medromi, H. “e-parking: Multi-agent smart parking platform for dynamic pricing and reservation sharing service. International Journal of Advanced Computer Science and Applications. 2019. Vol. 10. No. 11. DOI: 10.14569/IJACSA.2019.0101148.
• 9. Rehman, A. & Haseeb, K. & Saba, T. & Lloret, J. & Ahmed, Z. Mobility support 5G architecture with real-time routing for sustainable smart cities. Sustainability. 2021. Vol. 13. No. 16. DOI: 10.3390/su13169092.
• 10. Piccialli, F. & Giampaolo, F. & Prezioso, E. & Crisci, D. & Cuomo, S. Predictive analytics for smart parking: a deep learning approach in forecasting of IoT data. ACM Trans Internet Technol. 2021. Vol. 21. No. 3. DOI: 10.1145/3412842.
• 11. Tcholtchev, N. & Schieferdecker, I. Sustainable and reliable information and communication technology for resilient smart cities. Smart Cities. 2021. Vol. 4. No. 1. DOI: 10.3390/smartcities4010009.
• 12. Semanjski, I. & Gautama, S. Smart city mobility application - gradient boosting trees for mobility prediction and analysis based on crowdsourced data. Sensors. 2015. Vol. 15. No. 7. DOI: 10.3390/s150715974.
• 13. Nica, E. & Konecny, V. & Poliak, M. & Kliestik, T. Big data management of smart sustainable cities: Networked digital technologies and automated algorithmic decision-making processes. Management Research and Practice. 2020. Vol. 12. No. 2.
• 14. Semanjski, I. & Aguirre, A.J.L. & J. De Mol, & Gautama, S. Policy 2.0 platform for mobile sensing and incentivized targeted shifts in mobility behavior. Sensors. 2016. Vol. 16. No. 7. DOI: 10.3390/s16071035.
• 15. Badii, C. & Difino, A. & Nesi, P. & Paoli, I. & Paolucci, M. Classification of users’ transportation modalities from mobiles in real operating conditions. Multimed Tools Appl. 2022. Vol. 81. No. 1. DOI: 10.1007/s11042-021-10993-y.
• 16. European Commission. The European Green Deal. COM(2019) 640 final, Brussels. 2019. Vol. 53. No. 9.
• 17. Neumann, T. The impact of carsharing on transport in the city. Case study of Tri-city in Poland. Sustainability. 2021. Vol. 13. No. 2. P. 1-24. DOI: 10.3390/su13020688.
• 18. Szewczyk, P. & Łebkowski, A. Studies on energy consumption of electric light commercial vehicle powered by in-wheel drive modules. Energies. 2021. Vol. 14. No. 22. DOI: 10.3390/en14227524.
• 19. Kłos-Adamkiewicz, Z. & Szaruga, E. & Gozdek, A. & Kogut-Jaworska, M. Links between the energy intensity of public urban transport, regional economic growth and urbanisation: the case of Poland. Energies. 2023. Vol. 16. No. 9. P. 3799. DOI: 10.3390/en16093799.
• 20. Dali, N.M. & Sarkawi, A.A. & Abdullah, A. An analytical study of Malaysia’s quality of life indicators. Journal of Business and Economics. 2017. Vol. 8. No. 6. P. 488-498.
• 21. Przybyłowski, A. Global trends shaping life quality in agglomerations with particular emphasis on mobility in seaport agglomerations. Trans. Nav. 2019. Vol. 13. No 3. P. 615-620. DOI: 10.12716/1001.13.03.18.
• 22. Przybyłowski, P. & Przybyłowski, A. & Kałaska, A. Utility method as an instrument of the quality of life assessment using the examples of selected European cities. Energies. 2021. Vol. 14. No. 10. DOI: 10.3390/en14102770.
• 23. Motowidlak, U. Conditions for the sustainable development of electromobility in the European Union road transport from the perspective of the European Green Deal. Prace Komisji Geografii Komunikacji PTG. 2022. Vol. 25. No. 4. P. 7-25. DOI: 10.4467/2543859xpkg.22.018.17142.
• 24. Wołek, M. & Wolański, M. & Bartłomiejczyk, M. & Wyszomirski, O. & Grzelec, K. & Hebel, K. Ensuring sustainable development of urban public transport: A case study of the trolleybus system in Gdynia and Sopot (Poland). J Clean Prod. Jan, 2021. Vol. 279. DOI: 10.1016/j.jclepro.2020.123807.
• 25. Francis, J.J. et al. What is an adequate sample size? Operationalising data saturation for theory¬based interview studies. Psychol Health. 2010. Vol. 25. No. 10. DOI: 10.1080/08870440903194015.
• 26. Casquero, D. & Monzon, A. & Garda, M. & Martinez, O. Key elements of mobility apps for improving urban travel patterns: a literature review. Future Transportation. 2022. Vol. 2. No. 1. DOI: 10.3390/futuretransp2010001.
• 27. Oeschger, G. & Carroll, P. & Caulfield, B. Micromobility and public transport integration: The current state of knowledge. Transp Res D Transp Environ. 2020. Vol. 89. DOI: 10.1016/j.trd.2020.102628.
• 28. Islam, R. & Islam, R. & Mazumder, T.A. Mobile application and its global impact. International Journal of Engineering & Technology. 2012. Vol. 10. No. 06.
• 29. Cohen, A. & Shaheen, S. Planning for shared mobility. APA Planning Advisory Service Reports. 2016. Vol. 2016-July. No. 583.
• 30. Suchanek, M. & Szmelter-Jarosz, A. Environmental aspects of generation Y’s sustainable mobility. Sustainability. 2019. Vol. 11(11). DOI: 10.3390/su11113204.
• 31. Bouscasse, H. & Joly, I. & Bonnel, P. How does environmental concern influence mode choice habits? A mediation analysis. Transp Res D Transp Environ. 2018. Vol. 59. DOI: 10.1016/j.trd.2018.01.007.
• 32. Timmer, S. & Merfeld, K. & Henkel, S. Exploring switching motives to multimodal mobility behaviour in the context of commuting: a hierarchical means-end chain analysis. SSRN Electronic Journal. 2022. Vol. 176. DOI: 10.2139/ssrn.4036559.
• 33. Ababio-Donkor, A. & Saleh, W. & Fonzone, A. The role of personal norms in the choice of mode for commuting. Research in Transportation Economics. 2020. Vol. 83. DOI: 10.1016/j.retrec.2020.100966.
• 34. Jaśkiewicz, M. & Besta, T. Heart and mind in public transport: Analysis of motives, satisfaction and psychological correlates of public transportation usage in the Gdańsk-Sopot-Gdynia Tricity Agglomeration in Poland. Transp Res Part F Traffic Psychol Behav. Sep. 2014. Vol. 26. Part A. P. 92-101. DOI: 10.1016/J.TRF.2014.06.012.
• 35. Zhu, R. & et al. The effects of different travel modes and travel destinations on COVID-19 transmission in global cities. 2021. Vol. 67(6). P. 588-592. DOI: 10.1016/j.scib.2021.11.023.
• 36. Zhang, N. & et al. Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong. Cities. May 2021. Vol. 112. P. 103139. DOI: 10.1016/J.CITIES.2021.103139.
• 37. Thombre, A. & Agarwal, A. A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity. Transp Policy (Oxf). Sep. 2021. Vol. 110. P. 335¬353. DOI: 10.1016/J.TRANPOL.2021.06.010.
• 38. Currie, G. & T. Jain, T. & Aston, L. Evidence of a post-COVID change in travel behaviour - Self¬reported expectations of commuting in Melbourne. Transp Res Part A Policy Pract. Nov 2021. Vol. 153. P. 218-234. DOI: 10.1016/J.TRA.2021.09.009.
• 39. Suchanek, M. & Jagiełło, A. & Suchanek, J. Substitutability and complementarity of municipal electric bike sharing systems against other forms of urban transport. Applied Sciences. 2021. Vol. 11. No. 15. DOI: 10.3390/app11156702.
• 40. Mâtrai, T. & Tóth, J. & Cruz, J. How cycling is perceived in Budapest based on household survey results. Periodica Polytechnica Civil Engineering. 2020. Vol. 64. No. 2. DOI: 10.3311/PPci.14961.