Urban transportation resilience in response to COVID-19: case of Polish cities
DOI:
https://doi.org/10.12775/bgss-2024-0034Keywords
geography, planning & development, lockdown, urban resilience, geography of transport systems, transport planningAbstract
COVID-19 was a unique event that globally influenced socio-economic systems in many dimensions. One of them was transportation and mobility patterns, especially during lockdown introduced for the sake of public health. Although restrictions were rather universal within each country, cities were characterized by different mobility patterns. The aim of this study was to analyse changes in mobility patterns in response to COVID-19 and define similarities in urban transportation resilience. For this purpose COVID-19 – Community Mobility Reports were used. Results show that work-related mobility was the most influenced in the long term. Bigger cities needed more time to revert to pre-pandemic level. During the first month of lockdown mobility associated with workplaces as well as grocery and pharmacy presented similar decrease. The biggest decrease characterises mobility connected with retail and recreation. Although it met pre-pandemic patterns around the summer 2020, it required almost one more year to reduce fluctuations.
References
Alonso-Almeida, M. del M. (2022). To Use or Not Use Car Sharing Mobility in the Ongoing COVID-19 Pandemic? Identifying Sharing Mobility Behaviour in Times of Crisis. International Journal of Environmental Research and Public Health, 19(5): 3127. DOI: https://doi.org/10.3390/ijerph19053127.
Atahan, A. & Alhelo, L. (2022). The Impact of the COVID-19 Pandemic on Mobility Behavior in Istanbul After One Year of Pandemic. W A. Akhnoukh, K. Kaloush, M. Elabyad, B. Halleman, N. Erian, S. Enmon II, & C. Henry (Eds.)., Advances in Road Infrastructure and Mobility. Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-79801-7_65.
Aydin, N., Kuşakcı, A.O. & Deveci, M. (2022). The impacts of COVID-19 on travel behavior and initial perception of public transport measures in Istanbul. Decision Analytics Journal, 2: 100029. DOI: https://doi.org/10.1016/j.dajour.2022.100029.
Bagdatli, M.E.C. & Ipek, F. (2022). Transport mode preferences of university students in post-COVID-19 pandemic. Transport Policy, 118: 20–32. DOI: https://doi.org/10.1016/j.tranpol.2022.01.017.
Barthélemy, E.J., Thango, N.S., Höhne, J., Lippa, L., Kolias, A. & Germano, I.M. (2021). Resilience in the Face of the COVID-19 Pandemic: How to Bend and not Break. World Neurosurgery, 146: 280–284. DOI: https://doi.org/10.1016/j.wneu.2020.11.105.
Beck, M.J., Hensher, D.A. & Nelson, J.D. (2021). Public transport trends in Australia during the COVID-19 pandemic: An investigation of the influence of bio-security concerns on trip behaviour. Journal of Transport Geography, 96: 103167. DOI: https://doi.org/10.1016/j.jtrangeo.2021.103167.
Bełej, M. (2021). Housing Price Forecasting in Selected Polish Cities During the COVID-19 Pandemic. Geomatics and Environmental Engineering, 15(4): 4. DOI: https://doi.org/10.7494/geom.2021.15.4.59.
Bouhouras, E., Basbas, S., Ftergioti, S., Paschalidis, E. & Siakantaris, H. (2022). COVID-19's pandemic effects on bike sharing systems: A new reality for urban mobility? Applied Sciences, 12(3): 1230. DOI: https://doi.org/10.3390/app12031230.
Campisi, T., Russo, A., Tesoriere, G., Bouhouras, E. & Basbas, S. (2021). COVID-19’s Effects over E-commerce: A Preliminary Statistical Assessment for Some European Countries. IN: WO. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blečić, D. Taniar, B.O. Apduhan, A.M.A. C. Rocha, E. Tarantino, & C.M. Torre (Eds.)., Computational Science and Its Applications – ICCSA. Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-86979-3_27.
Chen, C., Feng, T., Gu, X. & Yao, B. (2022). Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands. Transport Policy, 117: 98–107. DOI: https://doi.org/10.1016/j.tranpol.2022.01.005.
Corazza, M. V., Moretti, L., Forestieri, G. & Galiano, G. (2021). Chronicles from the new normal: Urban planning, mobility and land-use management in the face of the COVID-19 crisis. Transportation Research Interdisciplinary Perspectives, 12: 100503. DOI: https://doi.org/10.1016/j.trip.2021.100503.
COVID-19 Community Mobility Report. (2022). COVID-19 Community Mobility Report. Available at: https://www.google.com/covid19/mobility?hl=pl (Accessed: 17 July 2023).
Fridrisek, P. & Janos, V. (2022). COVID-19 and suburban public transport in the conditions of the Czech Republic. Transportation Research Interdisciplinary Perspectives, 13: 100523. DOI: https://doi.org/10.1016/j.trip.2021.100523.
Gafter, L., Tchetchik, A. & Shilo, S. (2022). Urban resilience as a mitigating factor against economically driven out-migration during COVID-19: The case of Eilat, a tourism-based city. Cities, 125: 103636. DOI: https://doi.org/10.1016/j.cities.2022.103636.
Guo, W., Feng, Y., Luo, W., Ren, Y., Tan, J., Jiang, X. & Xue, Q. (2022). The Impacts of COVID-19 and Policies on Spatial and Temporal Distribution Characteristics of Traffic: Two Examples in Beijing. Sustainability, 14(3): 1733. DOI: https://doi.org/10.3390/su14031733.
Jaekel, B. & Muley, D. (2022). Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19. Transportation Research Interdisciplinary Perspectives, 13: 100540. DOI: https://doi.org/10.1016/j.trip.2022.100540.
Javid, M.A., Abdullah, M., Ali, N. & Dias, C. (2021). Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model. Transportation Research Interdisciplinary Perspectives, 12: 100474. DOI: https://doi.org/10.1016/j.trip.2021.100474.
Kapucu, N., Ge, Y. ‘Gurt’, Martín, Y. & Williamson, Z. (2021). Urban resilience for building a sustainable and safe environment. Urban Governance, 1(1): 10–16. DOI: https://doi.org/10.1016/j.ugj.2021.09.001.
Kazak, J.K., Kłysz, N.A. & Kamińska, J.A. (2023). Housing Market in Central European City during the COVID-19 Pandemic. Critical Housing Analysis, 10(1): 27–38.
Kazak, J.K., Szewrański, S., Pilawka, T., Tokarczyk-Dorociak, K., Janiak, K. & Świąder, M. (2021). Changes in water demand patterns in a European city due to restrictions caused by the COVID-19 pandemic. Desalination and water treatment, 222: 1-15. DOI: https://doi.org/10.5004/dwt.2021.27242.
Kłos-Adamkiewicz, Z. & Gutowski, P. (2022). The Outbreak of COVID-19 Pandemic in Relation to Sense of Safety and Mobility Changes in Public Transport Using the Example of Warsaw. Sustainability, 14(3): 1780. DOI: https://doi.org/10.3390/su14031780.
Krusche, A., Wilde, L., Ghio, D., Morrissey, C., Froom, A. & Chick, D. (2022). Developing public transport messaging to provide crowding information during COVID-19: Application of the COM-B model and behaviour change wheel. Transportation Research Interdisciplinary Perspectives, 13: 100564. DOI: https://doi.org/10.1016/j.trip.2022.100564.
Lu, Y. & Giuliano, G. (2023). Understanding mobility change in response to COVID-19: A Los Angeles case study. Travel Behaviour and Society, 31: 189–201. DOI: https://doi.org/10.1016/j.tbs.2022.11.011.
Milewska, B. (2022). The Impact of the COVID-19 Pandemic on Supply Chains in the Example of Polish Clothing Companies in the Context of Sustainable Development. Sustainability, 14(3): 1899.
Mogaji, E. (2022). Wishful thinking? Addressing the long-term implications of COVID-19 for transport in Nigeria. Transportation Research Part D: Transport and Environment, 105: 103206. DOI: https://doi.org/10.1016/j.trd.2022.103206.
Musango, J. K., Currie, P., & Robinson, B. (2017). Urban metabolism for resource efficient cities: from theory to implementation. UN Environment: Paris, France.
Naveen, B.R. & Gurtoo, A. (2022). Public transport strategy and epidemic prevention framework in the Context of Covid-19. Transport Policy, 116: 165–174. DOI: https://doi.org/10.1016/j.tranpol.2021.12.005.
Ouoba, Y. & Sawadogo, N. (2022). Food security, poverty and household resilience to COVID-19 in Burkina Faso: Evidence from urban small traders’ households. World Development Perspectives, 25: 100387. DOI: https://doi.org/10.1016/j.wdp.2021.100387.
Przybylowski, A., Stelmak, S. & Suchanek, M. (2021). Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study. Sustainability, 13(1): 364.
Qin, Y. & Karimi, H.A. (2023). Evolvement patterns of usage in a medium-sized bike-sharing system during the COVID-19 pandemic. Sustainable Cities and Society, 96: 104669. DOI: https://doi.org/10.1016/j.scs.2023.104669.
Rahman, S.M., Ratrout, N., Assi, K., Al-Sghan, I., Gazder, U., Reza, I. & Reshi, O. (2021). Transformation of urban mobility during COVID-19 pandemic – Lessons for transportation planning. Journal of Transport & Health, 23: 101257. DOI: https://doi.org/10.1016/j.jth.2021.101257.
Roberto, R., Zini, A., Felici, B., Rao, M. & Noussan, M. (2023). Potential Benefits of Remote Working on Urban Mobility and Related Environmental Impacts: Results from a Case Study in Italy. Applied Sciences, 13(1): 607. DOI: https://doi.org/10.3390/app13010607.
Rodrigues da Silva, A.N., Pitombo, C.S., Pedreira Junior, J.U., Ciriaco, T.G.M. & Costa, C.S. (2023). Chapter 8—Changes in mobility and challenges to the transport sector in Brazil due to COVID-19. In: WJ. Zhang & Y. Hayashi (Eds.)., Transportation Amid Pandemics. Elsevier. DOI: https://doi.org/10.1016/B978-0-323-99770-6.00010-7.
Shortall, R., Mouter, N. & van Wee, B. (2022). Full article: COVID-19 passenger transport measures and their impacts. Transport Reviews, 4(42): 441–466. DOI: https://doi.org/10.1080/01441647.2021.1976307.
Simić, V., Ivanović, I., Đorić, V. & Torkayesh, A.E. (2022). Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model. Sustainable Cities and Society, 79: 103669. DOI: https://doi.org/10.1016/j.scs.2022.103669.
Tarkowski, M., Puzdrakiewicz, K., Jaczewska, J. & Połom, M. (2020). COVID-19 lockdown in Poland–changes in regional and local mobility patterns based on Google Maps data. Prace Komisji Geografii Komunikacji PTG, 23(2): 46-55.
Trojanek, R., Głuszak, M., Hebdzynski, M. & Tanas, J. (2021). The COVID-19 Pandemic, Airbnb and Housing Market Dynamics in Warsaw. Critical Housing Analysis, 8(1): 72–84. DOI: https://doi.org/10.13060/23362839.2021.8.1.524.
Turek, T., Diakowska, E. & Kamińska, J.A. (2021). Has COVID-19 Lockdown Affected on Air Quality?—Different Time Scale Case Study in Wrocław, Poland. Atmosphere, 12(12): 1549. DOI: https://doi.org/10.3390/atmos12121549.
Wen, L., Sharp, B., Suomalainen, K., Sheng, M.S. & Guang, F. (2022). The impact of COVID-19 containment measures on changes in electricity demand. Sustainable Energy, Grids and Networks, 29: 100571. DOI: https://doi.org/10.1016/j.segan.2021.100571.
Xi, H., Li, Q., Hensher, D.A., Nelson, J.D. & Ho, C. (2023). Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments. Transport Policy, 136: 98–112. DOI: https://doi.org/10.1016/j.tranpol.2023.03.014.
Yang, S. & Chen, Z. (2022). The Impact of COVID-19 on High-Speed Rail and Aviation Operations. Sustainability, 14(3): 1683. DOI: https://doi.org/10.3390/su14031683.
Zavareh, M.F., Mehdizadeh, M. & Nordfjærn, T. (2022). Demand for mitigating the risk of COVID-19 infection in public transport: The role of social trust and fatalistic beliefs. Transportation Research Part F: Traffic Psychology and Behaviour, 84: 348-362. DOI: https://doi.org/10.1016/j.trf.2021.12.010.
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