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Warianty tytułu
Języki publikacji
Abstrakty
The main reason for contemporary transport problems related to traffic congestion in urban transport networks is the excessive number of passenger cars used by people commuting to work (i.e., to places where they carry out their work duties). During the COVID-19 pandemic, a significant reduction in traffic flow was observed due to the implementation of remote work. Currently, transport problems are similar to those observed before the pandemic period. This article presents the results of research and a discussion on various factors, the recognition and analysis of which enable the virtualization of activities related to work duties. Contribution to the development of science and knowledge in the field of transport, and in particular in urban mobility planning, justifies the need for in-depth research taking into account, among other matters, objective and subjective personal factors in the assessment of social generation preferences to carry out activities in a virtual form (e.g., remote work). Proper recognition of these factors enables the development of mobility plans that can significantly reduce traffic congestion.
Czasopismo
Rocznik
Tom
Strony
17--30
Opis fizyczny
Bibliogr. 33 poz.
Twórcy
autor
- Silesian University of Technology; Krasińskiego 8, 40-109 Katowice, Poland
autor
- Georgian Vehicles Inspection Bodies Association; Nodar Bokhua 4, 0159 Tbilisi, Georgia
Bibliografia
- 1. Okraszewska, R. & Romanowska, A. & et al. Integration of a multilevel transport system model into sustainable urban mobility planning. Sustainability. 2018. Vol. 10. No. 479. P. 1-20.
- 2. Gallo, M. & Marinelli M. Sustainable mobility: a review of possible actions and policies. Sustainability. 2020. Vol. 12(18). No. 7499.
- 3. Kodeks pracy. Ustawa z dnia 26 czerwca 1974 r. Dz. U. 1974. Nr 24, poz. 141 [In Polish: Labor law]. Available at: https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU19740240141/U/D19740141Lj.pdf.
- 4. McNally, M.G. & Rindt, C.R. The activity-based approach. In: Hensher, D.A. & Button, K.J. Handbook of Transport Modelling. Elsevier. Amsterdam, 2008. P. 55-72.
- 5. Karoń, G. & Żochowska, R. Problems of quality of public transportation systems in smart cities - smoothness and disruptions in urban traffic. In: Sładkowski, A. (ed.) Modelling of the Interaction of the Different Vehicles and Various Transport Modes. Lecture Notes in Intelligent Transportation and Infrastructure. 2020. Springer, Cham.
- 6. Guidelines for developing and implementing a Sustainable Urban Mobility Plan (2nd edition). Available at: https://www.eltis.org/guidelines/second-edition-sump-guidelines.
- 7. Meyer, M.D. Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior. Transportation Research Part A. 1999. No. 33. P. 575-599.
- 8. Loo, B.P.Y & Huang, Z. Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-19. Cities. 2022. Vol. 124. No. 103610.
- 9. Karoń, G. & Tomanek, R. Effectiveness of urban mobility decarbonization instruments. Energies. 2023. Vol. 16(4). No. 1833.
- 10. Konrad, K. & Wittowsky, D. Virtual mobility and travel behavior of young people - Connections of two dimensions of mobility. Research in Transportation Economics. 2018. Vol. 68. P. 11-17.
- 11. Kelly, J.A. & Kelleher, L. & Guo, Y. & et al. Assessing preference and potential for working from anywhere: A spatial index for Ireland, Environmental and Sustainability Indicators. 2022. Vol. 15.
- 12. Peggy, M.L. & Ng, Kam Kong Lit & et. al. Remote work as a new normal? The technology- organization-environment (TOE) context. Technology in Society. 2022. Vol. 70. No. 102022.
- 13. Miller, H.J. Necessary space-time conditions for human interaction. Environment & Planning B. 2005. Vol. 32. P. 381-401.
- 14. Shaw, S.L. & Yu, H. A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space. Journal of Transport Geography. 2009. No. 17. P. 141-149.
- 15. Costanza, D. & Finkelstein, L. Generationally based differences in the workplace: Is There a There There? Industrial and Organizational Psychology. 2015. Vol. 8(3). P. 1-16.
- 16. Cohen, P.N. Generation labels mean nothing. It’s time to retire them. The Washington Post. July 7, 2021 at 9:55 a.m. EDT. Available at: https://www.washingtonpost.com/opinions/2021/07/07/generation-labels-mean-nothing-retire-them/.
- 17. Menand, L. It’s time to stop talking about “Generations”. The New Yorker. October 11, 2021. Available at: https://www.newyorker.com/magazine/2021/10/18/its-time-to-stop-talking-about-generations.
- 18. Żochowska, R. & Karoń, G. & et.al. Selected aspects of the methodology of a household interview survey on an urban agglomeration scale with regard to its services. Scientific Journal of Silesian University of Technology. Series Transport. 2017. Vol. 95. P. 239-249.
- 19. Żochowska, R. & Karoń, G. & et al. Selected aspects of the methodology of traffic flows surveys and measurements on an urban agglomeration scale with regard to ITS Projects. In: Macioszek, E. & Sierpiński, G. (eds). Recent Advances in Traffic Engineering for Transport Networks and Systems. TSTP 2017. Lecture Notes in Networks and Systems. Vol. 21. 2018. Springer, Cham.
- 20. Karoń, G. Kształtowanie potoków ruchu w sieci transportowej z wykorzystaniem inżynierii systemów. Wydawnictwo Politechniki Śląskiej, 2019. Gliwice [In Polish: Shaping traffic flows in the transport network with the use of systems engineering].
- 21. Karácsony, P. Impact of teleworking on job satisfaction among Slovakian employees in the era of COVID-19. Problems and Perspectives in Management. 2021. Vol. 19(3). P. 1-9.
- 22. Karoń, G. & Mikulski, J. The concept of shaping virtual activities in urban mobility planning. Transportation Research Procedia. Elsevier 2023 (sent to the editorial office and now in print).
- 23. de Palma, A. & Vosough, S. & Liao, F. An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak. Transportation Research Part A: Policy and Practice. 2022. Vol. 159. P. 372-397.
- 24. Bin, E. & Andruetto, C. & et al. The trade-off behaviours between virtual and physical activities during the first wave of the COVID-19 pandemic period. Eur. Transp. Res. Rev. 2021. Vol. 13:14. P. 1-19.
- 25. Balbontin, C. & Hensher, D.A. & Beck, M.J. Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia. Transportation Research Part E: Logistics and Transportation Review. 2022. Vol. 162. No. 102718.
- 26. Belzunegui-Eraso, A. & Erro-Garcés, A. Teleworking in the context of the Covid-19 crisis. Sustainability. 2020. Vol. 12. No. 3662.
- 27. Aaditya, B. & Rahul, T.M. Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach, Transport Policy. 2021. Vol. 108. P. 47-58.
- 28. Aaditya, B. & Rahul, T.M. Long-term impacts of COVID-19 pandemic on travel behaviour. Travel Behaviour and Society. 2023. Vol. 30. P. 262-270.
- 29. Zafri, N.M. & Khan, A. & et al. Impacts of the COVID-19 pandemic on active travel mode choice in Bangladesh: A study from the perspective of sustainability and new normal situation. Sustainability. 2021. Vol. 13. No. 6975.
- 30. van Wee, B. & Witlox, F. COVID-19 and its long-term effects on activity participation and travel behaviour: A multiperspective view. Journal of Transport Geography. 2021. Vol. 95. No. 103144.
- 31. Karoń, G. & Mikulski, J. Problems of systems engineering for ITS in large agglomeration - Upper- Silesian Agglomeration in Poland. In: Mikulski, J. (ed.). Telematics - Support for Transport. TST 2014. Communications in Computer and Information Science. 2014. Vol. 471. Springer, Berlin, Heidelberg.
- 32. Karoń, G. & Mikulski, J. Selected problems of transport modelling with ITS services impact on travel behavior of users. 15th International Conference on ITS Telecommunications (ITST). Warsaw. 2017. P. 1-7.
- 33. Klapka P. & Ellegård, K. & Frantál, B. What about time-geography in the post-Covid-19 era? Moravian Geographical Reports. 2020. Vol. 28(4). P. 238-247.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6bfaca20-b42a-4e74-a127-f74f4ba01d19