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Abstrakty
The aim of this study is to present the consequences of the COVID-19 crisis in the long-distance coach market in Europe. Firstly, the literature review depicts the dynamic situation of European long-distance transport service providers. It is reiterated that the disruptions to long-distance coach transport triggered by the COVID-19 pandemic are multidimensional. Secondly, 10 econometric panel models, including one spatial and two dynamic panel models, were constructed for 505 or 495 regions (depending on the model) of 26 European countries. The analysis allowed us to draw conclusions about the impact of excess mortality, public sentiment, population density, and infrastructure quality on the number of long-distance FlixBus coach departures. Models indicate that increased anxiety associated with COVID-19 leads to a drop in the number of departures even when mortality anomaly is accounted for. Moreover, the number of departures changed more significantly in response to an increased infection rate in 2021 compared to 2020. This may indicate that long-distance coach companies were encouraged to implement new policies aiming at a lower frequency of trips, thereby increasing certainty that planned departures would not be canceled at the last minute. This can serve as an evidence of a shift in companies’ focus towards greater flexibility of their offers.
Czasopismo
Rocznik
Tom
Strony
113--126
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
- SGH Warsaw School of Economics, Institute of Statistics and Demography; al. Niepodległości 162, 02-554 Warsaw, Poland
autor
- CY Cergy Paris University, Geography and Planning Laboratory; 33 Boulevard du Port, 95011 Cergy-Pontoise, France
Bibliografia
- 1. Aaditya, B. & Rahul, T. Psychological impacts of COVID-19 pandemic on the modechoice behaviour: A hybrid choice modelling approach. Transport Policy. 2021. Vol. 108. P. 47-58.
- 2. Arbués, P. & Baños-Pino, J. & Mayor, M. & Suárez, P. Econometric modeling of long-distance domestic travel. Revista de Economia Mundial. 2014. Vol. 38. No. 4. P. 101-126.
- 3. Arellano, M. & Bond, S. Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies. 1991. Vol. 58. No. 2. P. 277-297.
- 4. Berselli, D. & Chirca, M. & Cristea, L. & Escudero, J.C. & Estrada, M. & Faria, A. & Geier, T. & Jofre, M. & Mallia, L.S. & Martins, R. & Milne, J. & Mladenovic, M. & Nadal, M. & Rapacz, P. & Moiso, D.R. & Signor, L. & Wessing, U. Demand Responsive Transport: Recommendations for Successful Deployment. Urban Mobility Next. 2022. Vol. 7. P. 1-36. Available at: https://www.eiturbanmobility.eu/wp-content/uploads/2022/10/EIT-UrbanMobilityNext7.pdf.
- 5. Blundell, R. & Bond, S. Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics. 1998. Vol. 87. No. 1. P. 115-143.
- 6. Chauveau, E. & Judith, C. & Lai, A. & Lepetit, Q. & Le Potier, A. & Rouault, J. & Vacaru, I. Rapport annuel sur le marché du transport par autocar et sur les gares routières en 2021. Paris. Autorité de régulation des transports. 2022. [In French: Annual report on the coach transport market and bus stations in 2021. Paris. Transport Regulatory Authority].
- 7. Collia, D. & Sharp, J. & Giesbrecht, L. The 2001 National Household Travel Survey: a look into the travel patterns of older Americans. Journal of Safety Research. 2003. Vol. 34. No. 4. P. 461-470.
- 8. Crozet, Y. & Santos, G. & Coldefy, J. La régulation de la mobilité urbaine à l’épreuve de la mobilité partagée et du « MaaS ». Brussels: Centre on Regulation in Europe. 2019 [In French: The regulation of urban mobility put to the test of shared mobility and “MaaS”. Brussels: Centre on Regulation in Europe].
- 9. Dargay, J. & Clark, S. The determinants of long distance travel in Great Britain. Transportation Research Part A: Policy and Practice. 2012. Vol. 46. No. 3. P. 576-587.
- 10. Driscoll, J.C. & Kraay, A.C. Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data. The Review of Economics and Statistics. 1998. Vol. 80. No. 4. P. 549-560.
- 11. Guihéry, L. Long Distance Coach Services in France and Germany: the new European competition between Flixbus and BlaBlaBus. Rivista di Economia e Politica dei Trasporti. 2019. Vol. 1. P. 1-12.
- 12. Tackling Driver Shortage in Europe. International Road Transport Union Report. Geneva: International Road Transport Union. 2019. Available at: https://transport-online.de/sites/default/files/public/data-news/tackling-european-driver-shortage-iru-report.pdf.
- 13. Laroche, F. The effect of COVID-19 on long-distance transport services in France. Regional Science Policy and Practice. 2022. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115494/.
- 14. Murray, K. & Häubl, G. Explaining Cognitive Lock-In: The Role of Skill-Based Habits of Use in Consumer Choice. Journal of Consumer Research. 2007. Vol. 34. No. 1. P. 77-88.
- 15. Neuman, K. & Dreier, T. & Strohkirch, M. Konjunkturumfrage 2021/2022. Berlin: Bundesverband Deutscher Omnibusunternehmen. 2022. [In German: Business Survey 2021/2022. Berlin: Federal Association of German Bus Companies].
- 16. Rapports financiers 2020. Issy-les-Moulineaux: Transdev. 2021. Available at: https://www. transdev.com/wp-content/uploads/2020/03/transdev-group-rapport-financier-2019-version- francaise.pdf. [In French: Fiancial Reports 2020. Issy-les-Moulineaux: Transdev].
- 17. Shaer, A. & Haghshenas, H., 2021. Evaluating the effects of the COVID-19 outbreak on the older adults’ travel mode choices. Transport Policy. 2021. Vol. 112. P. 162-172.
- 18. Smolarski, M. & Suszczewicz, M. Wpływ pandemii COVID-19 na funkcjonowanie regionalnego transportu kolejowego obszarów przygranicznych - na przykładzie województwa dolnośląskiego (PL) i kraju libreckiego (CZ). Czasopismo Geograficzne. 2021. Vol. 92. No. 1. 121-140. [In Polish: The Impact of the Covid-19 Pandemic on the Operation of Regional Rail Transport in Border Areas - On The Example of Lower Silesia (PL) and Liberec Region (CZ). Geographical Journal].
- 19. Taczanowski, J. The influence of COVID-19 on international and long-distance passenger rail transport. The cases of Italy and Poland - the first observations. Prace Komisji Geografii Komunikacji. 2020. Vol. 23. No. 2. P. 14-19.
- 20. Tan, L. & Ma, C. Choice behavior of commuters’ rail transit mode during the COVID-19 pandemic based on logistic model. Journal of Traffic and Transportation Engineering. 2021. Vol. 8. No. 2. P. 186-195.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c1dbce54-ec0c-44b5-9ca1-3a2d03f36451