ODPORNOŚĆ MIEJSKA NA CZARNE ŁABĘDZIE I ICH WPŁYW NA MOBILNOŚĆ MIESZKAŃCÓW

Autor

DOI:

https://doi.org/10.26881/wg.2026.1.07

Słowa kluczowe:

urban mobility, resilience, black swan, urban authorities

Abstrakt

Cel. Współczesne miasta mierzą się z rosnącą liczbą nagłych zdarzeń, które mogą oddziaływać na funkcjonowanie systemu mobilności miejskiej. Ich różna geneza i przebieg sprawiają, iż są trudne do przewidzenia, a reagowanie na nie jest utrudnione. Celem analizy było zdefiniowanie pojęcia odporności miejskiej oraz doprecyzowanie, jakie zdarzenia można zakwalifikować jako czarne łabędzie i w jaki sposób oddziałują one na mobilność mieszkańców miast, w szczególności na system transportu pasażerskiego.

Metoda. Z uwagi na cel badania konieczne było zastosowanie metody Systematycznego Przeglądu Literatury, której głównym założeniem jest usystematyzowanie wiedzy w określonym obszarze. Przeszukano bazy publikacji naukowych EBSCO, Scopus i Web of Science, wykorzystując dwa zapytania. Do analizy pełnotekstowej włączono łącznie 147 publikacji. Do przeglądu użyto metodyki PRISMA, dzięki czemu zapewniono transparentność badania. Następnie przeprowadzono analizę bibliometryczną, do której włączono 125 publikacji, z wykorzystaniem oprogramowania VOSviewer.

Wyniki. Analiza wykazała, że najwięcej publikacji dotyczących defininiowania odporności i strategii odporności pochodzą z lat 2010-2025. Wskazuje to na wzrost zainteresowania badaczy tematyką odpornosci, co może być odpowiedzią na coraz częściej pojawiające się kryzysy i nagłe zdarzenia. Ponadto większość analiz dotyczy Azji i Europy. Pandemia COVID-19 istotnie przyczyniła się do rozwoju studiów nad odpornością miejską.  

Downloads

Download data is not yet available.

Bibliografia

Afrin, S., Chowdhury, F. J., & Rahman, M. M. (2021). COVID-19 Pandemic: Rethinking Strategies for Resilient Urban Design, Perceptions, and Planning. In Frontiers in Sustainable Cities (Vol. 3). Frontiers Media S.A. https://doi.org/10.3389/frsc.2021.668263

Aldahlawi, R. Y., Akbari, V., & Lawson, G. (2024). A systematic review of methodologies for human behavior modelling and routing optimization in large-scale evacuation planning. In International Journal of Disaster Risk Reduction (Vol. 110). Elsevier Ltd. https://doi.org/10.1016/j.ijdrr.2024.104638

Almheiri, A., Montenegro, J. F., Ewane, E. B., & Mohan, M. (2024). Climate change hazards and the resilience of coastal cities in the Gulf Cooperation Council countries: A systematic review. In City and Environment Interactions (Vol. 24). Elsevier B.V. https://doi.org/10.1016/j.cacint.2024.100177

An, Q., Qin, Z., Cheng, L., & Li, W. (2025). Assessing the temporal and spatial resilience of bike-sharing demand: A spatiotemporal dynamic analysis. KSCE Journal of Civil Engi-neering, 29(4). https://doi.org/10.1016/j.kscej.2024.100045

An, Y. (2022). IMPACT OF COVID-19 ON ASSOCIATIONS BETWEEN LAND USE AND BIKE-SHARING USAGE. In J. van Ameijde, N. Gardner, K. H. Hyun, D. Luo, & U. Sheth (Eds.), Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia (pp. 605–614). The Association for Computer-Aided Architectural Design Research in Asia. https://doi.org/10.52842/conf.caadria.2022.1.605

Aven, T. (2013). On the meaning of a black swan in a risk context. Safety Science, 57, 44–51. https://doi.org/10.1016/j.ssci.2013.01.016

Bergantino, A. S., & Gardelli, A. (2024). The contribution of e-scooters services to urban transport resilience. Journal of Transport Geography, 118. https://doi.org/10.1016/j.jtrangeo.2024.103869

Borowska-Stefanska, M., Dulebenets, M. A., Koneczny, P., Kowalski, M., Masierek, E., Turobos, F., & Wisniewski, S. (2024). Changes to the Transport Behaviour of Inhabitants of a Large City Due the Pandemic. SUSTAINABILITY, 16(6). https://doi.org/10.3390/su16062568

Bubicz, M., Arsenio, E., Barateiro, J., & Henriques, R. (2023). Planning for more resilient urban transport systems: Lessons learned from the Covid-19 pandemic. In L. de Picado San-tos, J. Pinho de Sousa, & E. Arsenio (Eds.), Transportation Research Procedia (Vol. 72, pp. 3435–3442). Elsevier B.V. https://doi.org/10.1016/j.trpro.2023.11.774

Dadashzadeh, N., Volkova, N., Ekmekci, M., Horpenko, D., Woods, L., & Nikitas, A. (2025). What psychological and socio-demographic factors can influence people’s intention to use ridesharing during the war? A case study in Ukraine. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 109, 211–230. https://doi.org/10.1016/j.trf.2024.12.014

das Dores de Jesus Da Silva, L., Kubisch, S., Aguayo, M., Castro, F., Rojas, O., Lagos, O., & Figueroa, R. (2024). Chilean Disaster Response and Alternative Measures for Improve-ment. Social Sciences, 13(2). https://doi.org/10.3390/socsci13020088

Dias, G., Arsenio, E., & Ribeiro, P. (2021a). The Role of Shared E-Scooter Systems in Urban Sustainability and Resilience during the Covid-19 Mobility Restrictions. SUSTAINABIL-ITY, 13(13). https://doi.org/10.3390/su13137084

Dias, G., Arsenio, E., & Ribeiro, P. (2021b). The role of shared e-scooter systems in urban sustainability and resilience during the covid-19 mobility restrictions. Sustainability (Switzer-land), 13(13). https://doi.org/10.3390/su13137084

Downey, L., Fonzone, A., Fountas, G., & Semple, T. (2022). The impact of COVID-19 on future public transport use in Scotland. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 163, 338–352. https://doi.org/10.1016/j.tra.2022.06.005

Fontanella Pisa, P. (2024). Understanding memory transmission in disaster risk reduction practices: A case study from Japan. International Journal of Disaster Risk Reduction, 100. https://doi.org/10.1016/j.ijdrr.2023.104112

Garshasbi, D., Kitiphaisannon, J., Wongbumru, T., & Thanvisitthpon, N. T. (2025). Assessment of future urban flood risk of Thailand’s bangkok metropolis using geoprocessing and machine learning algorithm. Environmental and Sustainability Indicators, 25. https://doi.org/10.1016/j.indic.2024.100559

Ge, L. P., Voss, S., & Xie, L. (2022). Robustness and disturbances in public transport. PUB-LIC TRANSPORT, 14(1), 191–261. https://doi.org/10.1007/s12469-022-00301-8

Hasselwander, M., Tamagusko, T., Bigotte, J. F., Ferreira, A., Mejia, A., & Ferranti, E. J. S. (2021). Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity. SUSTAINABLE CITIES AND SOCIETY, 69. https://doi.org/10.1016/j.scs.2021.102864

Hong, B., Bonczak, B. J., Gupta, A., & Kontokosta, C. E. (2021). Measuring inequality in community resilience to natural disasters using large-scale mobility data. Nature Communications, 12(1870), 1–9. https://doi.org/10.1038/s41467-021-22160-w

Kapucu, N., Ge, Y., Rott, E., & Isgandar, H. (2024). Urban resilience: Multidimensional per-spectives, challenges and prospects for future research. Urban Governance, 4(3), 162–179. https://doi.org/10.1016/j.ugj.2024.09.003

Li, D., & Lasenby, J. (2023a). Investigating impacts of COVID-19 on urban mobility and emis-sions. CITIES, 135. https://doi.org/10.1016/j.cities.2023.104246

Li, D., & Lasenby, J. (2023b). Investigating impacts of COVID-19 on urban mobility and emis-sions. Cities, 135. https://doi.org/10.1016/j.cities.2023.104246

Li, Q. M., & Xu, W. P. (2022). The impact of COVID-19 on bike-sharing travel pattern and flow structure: evidence from Wuhan. CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY, 15(3), 477–494. https://doi.org/10.1093/cjres/rsac005

Li, X., Ha, J., & Lee, S. (2022). MOBILITY RESILIENCE OF COMMUTE TRIPS DURING THE COVID-19 PANDEMIC IN SEOUL, KOREA. In C. C. Wang & S. Shi-rowzhan (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 10, Issues 4/W3-2022, pp. 135–142). Copernicus Publications. https://doi.org/10.5194/isprs-annals-X-4-W3-2022-135-2022

Martins, M. C. D., da Silva, A. N. R., & Pinto, N. (2019). An indicator-based methodology for assessing resilience in urban mobility. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 77, 352–363. https://doi.org/10.1016/j.trd.2019.01.004

Monstadt, J., & Coutard, O. (2019). Cities in an era of interfacing infrastructures: Politics and spatialities of the urban nexus. Urban Studies, 56(11), 2191–2206. https://doi.org/10.1177/0042098019833907

Nikiforiadis, A., Ayfantopoulou, G., & Stamelou, A. (2020). Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece. SUSTAINABILITY, 12(19). https://doi.org/10.3390/su12198215

Pakati, S. S., Shoko, C., & Dube, T. (2025). Integrated flood modelling and risk assessment in urban areas: A review on applications, strengths, limitations and future research directions. Journal of Hydrology: Regional Studies, 61. https://doi.org/10.1016/j.ejrh.2025.102583

Sarkis-Onofre, R., Catalá-López, F., Aromataris, E., & Lockwood, C. (2021). How to properly use the PRISMA Statement. Systematic Reviews, 10(1), 13–15. https://doi.org/10.1186/s13643-021-01671-z

Silchenko, D., & Murray, U. (2023). Migration and climate change – The role of social protection. In Climate Risk Management (Vol. 39). Elsevier B.V. https://doi.org/10.1016/j.crm.2022.100472

Simic, V., Ivanovic, I., Doric, V., & Torkayesh, A. E. (2022). Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model. SUSTAINABLE CITIES AND SOCIETY, 79. https://doi.org/10.1016/j.scs.2022.103669

Taleb, N. N. (2008). The Black Swan: The Impact of the Highly Improbable. Penguin Books Ltd.

Talpur, A., Baig, F., Pervez, A., & Lee, J. J. (2025). Analysis of travel decision behaviour dur-ing extreme floods in Pakistan. TRANSPORTATION SAFETY AND ENVIRONMENT, 7(1). https://doi.org/10.1093/tse/tdaf007

Teixeira, J. F., & Lopes, M. (2020). The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York’s Citi Bike. TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 6. https://doi.org/10.1016/j.trip.2020.100166

Teixeira, J. F., Silva, C., & Moura e Sá, F. (2021). The motivations for using bike sharing dur-ing the COVID-19 pandemic: Insights from Lisbon. Transportation Research Part F: Traffic Psychology and Behaviour, 82, 378–399. https://doi.org/10.1016/j.trf.2021.09.016

Teixeira, J. F., Silva, C., & Sá, F. M. E. (2021). The motivations for using bike sharing during the COVID-19 pandemic: Insights from Lisbon. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 82, 378–399. https://doi.org/10.1016/j.trf.2021.09.016

Thombre, A., & Agarwal, A. (2021). A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity. TRANSPORT POLICY, 110, 335–353. https://doi.org/10.1016/j.tranpol.2021.06.010

Tori, S., de Séjournet, A., & Macharis, C. (2023a). Reactions of the public transport sector to the COVID-19 pandemic. Insights from Belgium. TRAVEL BEHAVIOUR AND SOCIE-TY, 31, 244–253. https://doi.org/10.1016/j.tbs.2023.01.001

Tori, S., de Séjournet, A., & Macharis, C. (2023b). Reactions of the public transport sector to the COVID-19 pandemic. Insights from Belgium. TRAVEL BEHAVIOUR AND SOCIE-TY, 31, 244–253. https://doi.org/10.1016/j.tbs.2023.01.001

Wang, J., Huang, J., Yang, H., & Levinson, D. (2022). Resilience and recovery of public transport use during COVID-19. Npj Urban Sustainability, 2(1). https://doi.org/10.1038/s42949-022-00061-1

Xing, Y., Shao, D., Yang, Y., Lin, Q., & Xu, Z. (2025). Evaluation of drainage efficiency via street inlets under the influence of terrain slope in the course of pluvial urban flood event. Journal of Hydrology: Regional Studies, 58. https://doi.org/10.1016/j.ejrh.2025.102243

Yang, Y., Beecham, R., Heppenstall, A., Turner, A., & Comber, A. (2022). Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London Tube strikes. Journal of Transport Geography, 98. https://doi.org/10.1016/j.jtrangeo.2021.103255

Zou, L. M., Chen, Y. H., Guo, R., Wang, P. C., He, Y. R., Chen, S. Y., Wang, Z. J., & Zhu, J. M. (2025). Unraveling the impact of COVID-19 on Beijing’s subway system using a causal machine learning analysis. SUSTAINABLE CITIES AND SOCIETY, 131. https://doi.org/10.1016/j.scs.2025.106709

Opublikowane

2026-06-19

Jak cytować

Żukowska, S., & Chmiel, B. (2026). ODPORNOŚĆ MIEJSKA NA CZARNE ŁABĘDZIE I ICH WPŁYW NA MOBILNOŚĆ MIESZKAŃCÓW. Współczesna Gospodarka, 20(1 (45). https://doi.org/10.26881/wg.2026.1.07