Skip to main content

Factors Influencing Public Transport Demand in Sicily During COVID-19 Era: A Study of Commuters’ Travel and Mode Choice Behaviors

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

Since the spread of the COVID-19 pandemic in March 2020, the transport system has suffered a profound reduction in demand worldwide. In order to understand which factors played a crucial role in reducing transport demand, an online questionnaire survey was conducted exploring one of the regions of Italy, i.e. Sicily, which was severely affected by the pandemic and was characterized by the greatest transport disruption among the other Italian regions. The survey was answered by 700 respondents who were frequent PT commuters before the outbreak of the pandemic. It collected sociodemographic information, highlighted the public transport demand figures before and after the lockdown period in Sicily and assessed the acceptance rates of the national recommendations which aimed to prevent contagion and encourage the use of PT. The survey data were analyzed using descriptive and cluster analysis techniques. During the examined periods, the results demonstrated three (3) clusters of PT commuters in Sicily and associated them with certain sociodemographic characteristics and acceptance rates of the national PT recommendations. Our findings lay the basis for public transport service improvements which could help local authorities to cope with such extreme conditions and perform a successful restart of operations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. European Commission: Green Paper - Towards a new culture for urban mobility {SEC(2007) 1209} COM/2007/0551 final

    Google Scholar 

  2. Basbas, S., Nikolaou, K., Toskas, G.: Environmental impacts of bus traffic in the Thessaloniki Metropolitan Area. J. Environ. Prot. Ecol. 2(3), 567–574 (2001)

    Google Scholar 

  3. Mahmood, M.N., Avishai (Avi), C., Farzan, G., Scott, T.: Environmental impacts of public transport systems using real-time control method. Transp. Res. Part D: Transp. Environ. 51, 216–226 (2017)

    Google Scholar 

  4. Vicente, P., Sampaio, A., Reis, E.: Factors influencing passenger loyalty towards public transport services: does public transport providers’ commitment to environmental sustainability matter? Case Stud. Transp. Policy 8(2), 627–638 (2020)

    Article  Google Scholar 

  5. Ma, L., Graham, D., Stettler, M.: Air quality impacts of new public transport provision: a causal analysis of the Jubilee Line Extension in London. Atmos. Environ. 245, 118025 (2021)

    Article  Google Scholar 

  6. Pettersson, F., Sørensen, C.H.: Why do cities invest in bus priority measures? Policy, polity, and politics in Stockholm and Copenhagen. Transp. Policy 98, 178–185 (2020)

    Article  Google Scholar 

  7. Goryaev, N., Myachkov, K., Larin, O.: Optimization of “green wave” mode to ensure priority of fixed-route public transport. Transp. Res. Proc. 36, 231–236 (2018)

    Google Scholar 

  8. Stelzer, A., Englert, F., Hörold, S., Mayas, C.: Improving service quality in public transportation systems using automated customer feedback. Transp. Res. Part E: Logist. Transp. Rev. 89, 259–271 (2016)

    Article  Google Scholar 

  9. Torrisi, V., Garau, C., Inturri, G., Ignaccolo, M.: Strategies and actions towards sustainability: encouraging good ITS practices in the SUMP vision. In: AIP Conference Proceedings, vol. 2343, no. 1, p. 090008. AIP Publishing LLC (2021). https://doi.org/10.1063/5.0047897

  10. Coni, M., Garau, C., Pinna, F.: How has Cagliari changed its citizens in smart citizens? Exploring the influence of ITS technology on urban social interactions. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10962, pp. 573–588. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95168-3_39

    Chapter  Google Scholar 

  11. Politis, I., Papaioannou, P., Basbas, S., Dimitriadis, N.: Evaluation of a bus passenger information system from the users’ point of view in the city of Thessaloniki. Greece. Res. Transp. Econ. 29(1), 249–255 (2010)

    Article  Google Scholar 

  12. Campisi, T., Basbas, S., Skoufas, A., Akgün, N., Ticali, D., Tesoriere, G.: The impact of COVID-19 pandemic on the resilience of sustainable mobility in Sicily. Sustainability 12, 8829 (2020)

    Article  Google Scholar 

  13. Przybylowski, A., Stelmak, S., Suchanek, M.: Mobility behaviour in view of the impact of the COVID-19 pandemic—Public transport users in Gdansk case study. Sustainability 13, 364 (2021)

    Article  Google Scholar 

  14. Politis, I., et al.: Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece. Eur. Transp. Res. Rev. 13(1), 1–19 (2021). https://doi.org/10.1186/s12544-021-00481-7

    Article  Google Scholar 

  15. Nikiforiadis, A., Ayfantopoulou, G., Stamelou, A.: Assessing the impact of COVID-19 on bike-sharing usage: the case of Thessaloniki, Greece. Sustainability 12, 8215 (2020)

    Article  Google Scholar 

  16. Eisenmann, C., Nobis, C., Kolarova, V., Lenz, B., Winkler, C.: Transport mode use during the COVID-19 lockdown period in Germany: the car became more important, public transport lost ground. Transp. Policy 103, 60–67 (2021)

    Article  Google Scholar 

  17. Dong, H., Ma, S., Jia, N., Tian, J.: Understanding public transport satisfaction in post COVID-19 pandemic. Transp. Policy 101, 81–88 (2021)

    Article  Google Scholar 

  18. Gkiotsalitis, K.: A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity. Transp. Res. Interdisc. Perspect. 9, 100336 (2021)

    Google Scholar 

  19. Vickerman, R.: Will COVID-19 put the public back in public transport? A UK perspective. Transp. Policy 103, 95–102 (2021)

    Article  Google Scholar 

  20. Murgante, B., Borruso, G., Balletto, G., Castiglia, P., Dettori, M.: Why Italy first? Health, geographical and planning aspects of the COVID-19 outbreak. Sustainability 12(12), 5064 (2020)

    Article  Google Scholar 

  21. Gutiérrez, A., Miravet, D., Domènech, A.: COVID-19 and urban public transport services: emerging challenges and research agenda. Cities Health 1–4 (2020). https://doi.org/10.1080/23748834.2020.1804291

  22. Moslem, S., Campisi, T., Szmelter-Jarosz, A., Duleba, S., Nahiduzzaman, K.M., Tesoriere, G.: Best–worst method for modelling mobility choice after COVID-19: evidence from Italy. Sustainability 12(17), 6824 (2020)

    Article  Google Scholar 

  23. Cartenì, A., Di Francesco, L., Martino, M.: The role of transport accessibility within the spread of the Coronavirus pandemic in Italy. Saf. Sci. 133, 104999 (2021)

    Article  Google Scholar 

  24. Tuite, A.R., Ng, V., Rees, E., Fisman, D.: Estimation of COVID-19 outbreak size in Italy. The Lancet. Infect. Dis. 20(5), 537 (2020)

    Article  Google Scholar 

  25. IMMUNI Homepage. http://www.immuni.italia.it/. Accessed 21 Mar 2021

  26. Franzitta, V., Curto, D., Rao, D., Viola, A.: Hydrogen production from sea wave for alternative energy vehicles for public transport in Trapani (Italy). Energies 9(10), 850 (2016)

    Article  Google Scholar 

  27. Genna, G.: The transportation system in the Sicilian touristic development. In: ERSA Conference Papers, number ersa06p652 (2006)

    Google Scholar 

  28. Campisi, T., Akgün, N., Ticali, D., Tesoriere, G.: Exploring public opinion on personal mobility vehicle use: a case study in Palermo, Italy. Sustainability 12(13), 5460 (2020)

    Article  Google Scholar 

  29. Campisi, T., Basbas, S., Skoufas, A., Akgün, N., Ticali, D., Tesoriere, G.: The impact of COVID-19 pandemic on the resilience of sustainable mobility in Sicily. Sustainability 12(21), 8829 (2020)

    Article  Google Scholar 

  30. Rundle-Thiele, S., Kubacki, K., Tkaczynski, A., Parkinson, J.: Using two-step cluster analysis to identify homogeneous physical activity groups. Mark. Intell. Plann. 33(4), 522–537 (2015)

    Article  Google Scholar 

  31. IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. IBM Corp., Armonk, NY

    Google Scholar 

  32. Norusis, M.J.: IBM SPSS Statistics 19 Procedures Companion. Addison Wesley, TX, Boston (2011)

    Google Scholar 

  33. Tesoriere, G., Campisi, T.: The benefit of engage the “crowd” encouraging a bottom-up approach for shared mobility rating. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12250, pp. 836–850. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58802-1_60

    Chapter  Google Scholar 

  34. Al-Rashid, M.A., Goh, H.C., Harumain, Y.A.S., Ali, Z., Campisi, T., Mahmood, T.: Psychosocial barriers of public transport use and social exclusion among older adults: empirical evidence from Lahore, Pakistan. Int. J. Environ. Res. Public Health 18(1), 185 (2021)

    Article  Google Scholar 

  35. Akrioti, M., Basbas, S., Georgiadis, G., Nathanail, E.: Investigation of minibus public transport service characteristics in an urban area through the use of a stated and revealed preference survey. In: Nathanail, E.G., Adamos, G., Karakikes, I. (eds.) CSUM 2020. AISC, vol. 1278, pp. 11–20. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-61075-3_2

    Chapter  Google Scholar 

  36. Abdullah, M., Ali, N., Shah, S.A.H., Javid, M.A., Campisi, T.: Service quality assessment of app-based demand-responsive public transit services in Lahore, Pakistan. Appl. Sc. 11, 1911 (2021)

    Article  Google Scholar 

  37. Campisi, T., Torrisi, V., Ignaccolo, M., Inturri, G., Tesoriere, G.: University propensity assessment to car sharing services using mixed survey data: the Italian case study of Enna city. Transp. Res. Proc. 47, 433–440 (2020)

    Google Scholar 

  38. Campisi, T., Ignaccolo, M., Inturri, G., Tesoriere, G., Torrisi, V.: The growing urban accessibility: a model to measure the car sharing effectiveness based on parking distances. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12255, pp. 629–644. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58820-5_46

    Chapter  Google Scholar 

  39. Georgiadis, G., Nikolaidou, A., Politis, I., Papaioannou, P.: How public transport could benefit from social media? Evidence from European agencies. In: Nathanail, E.G., Adamos, G., Karakikes, I. (eds.) CSUM 2020. AISC, vol. 1278, pp. 645–653. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-61075-3_63

    Chapter  Google Scholar 

Download references

Acknowledgments

The authors acknowledge financial support from the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled WEAKI TRANSIT: WEAK-demand areas Innovative TRANsport Shared services for Italian Towns (Project code: 20174ARRHT/CUP Code: J74I19000320008), financed with the PRIN 2017 (Research Projects of National Relevance) program. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MIUR.

Funding

This research work was partially funded by the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled WEAKI TRANSIT.

Author information

Authors and Affiliations

Authors

Contributions

This paper is the result of the joint work of the authors. ‘Abstract’, ‘Introduction’, ‘Methodology’, and ‘Results’ were written jointly by the authors. T.C. and G.T. discussed on the state of the art. S.B. and G.G. designed the methodological approach and discussion. Supervision and research funding; T.C., S.B., and G.T.

Corresponding author

Correspondence to Georgios Georgiadis .

Editor information

Editors and Affiliations

Ethics declarations

Conflicts of Interest

The authors declare no conflict of interest.

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Basbas, S., Georgiadis, G., Campisi, T., Tesoriere, G. (2021). Factors Influencing Public Transport Demand in Sicily During COVID-19 Era: A Study of Commuters’ Travel and Mode Choice Behaviors. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86979-3_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86978-6

  • Online ISBN: 978-3-030-86979-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics