Transportation Resilience under Climate Change: Infrastructure, Policy, Technology, and Social Dimensions
DOI:
https://doi.org/10.61978/logistica.v3i1.1067Keywords:
Transportation Resilience, Natural Disasters, Disaster Recovery, Infrastructure Resilience, Climate Change Adaptation, Urban Transportation, Network ResilienceAbstract
Resilience in transportation systems is increasingly critical as climate change intensifies the frequency and severity of natural disasters. This study aimed to synthesize existing research on strategies that enhance transportation resilience by examining infrastructure, policy frameworks, technological innovations, and socio-economic conditions. A narrative review methodology was employed, with literature collected from Scopus, PubMed, and Google Scholar using targeted keywords such as transportation resilience, natural disasters, infrastructure resilience, and disaster recovery. Inclusion criteria emphasized peer-reviewed empirical and modeling studies published between 2010 and 2025 that directly addressed transportation resilience. The review finds that strengthening physical infrastructure through adaptive design, improved drainage, and advanced engineering reduces vulnerability to floods and earthquakes. Policy frameworks and inter-agency collaboration provide systemic coordination, while technological innovations—including Internet of Things, Artificial Intelligence, and digital twin simulations—significantly enhance predictive capacity and accelerate recovery operations. However, socio-economic disparities remain a central challenge, with developing nations facing extended recovery periods due to limited resources and fragile infrastructure. Cross-country comparisons underscore the importance of aligning resilience strategies with local contexts while promoting global knowledge exchange. Methodological limitations in the literature highlight the need for more interdisciplinary approaches that integrate technical, social, and policy dimensions. Overall, this review demonstrates that a multidimensional approach combining infrastructure reinforcement, governance reforms, technological innovation, and community engagement is essential to strengthen transportation resilience. These findings carry important implications for policymakers, practitioners, and researchers seeking to develop sustainable and adaptive transport systems in the face of escalating disaster risks.
References
Ahmed, S., & Dey, K. (2020). Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques. Journal of Infrastructure Preservation and Resilience, 1(1). https://doi.org/10.1186/s43065-020-00008-9 DOI: https://doi.org/10.1186/s43065-020-00008-9
Arora, A., Oakil, T., & Al-Hosain, N. (2024). Resilient urban transport systems: the role of transit-oriented development in the GCC cities. 63–88. https://doi.org/10.1007/978-3-031-73090-0_4 DOI: https://doi.org/10.1007/978-3-031-73090-0_4
Castro-Melgar, I. (2025). Assessment of the October 2024 cut-off low event floods impact in Valencia (Spain) with satellite and geospatial data. Remote Sensing, 17(13), 2145. https://doi.org/10.3390/rs17132145 DOI: https://doi.org/10.3390/rs17132145
Chen, J., Liu, J., Peng, Q., & Yin, Y. (2021). Strategies to enhance the resilience of an urban rail transit network. Transportation Research Record Journal of the Transportation Research Board, 2676(1), 342–354. https://doi.org/10.1177/03611981211037888 DOI: https://doi.org/10.1177/03611981211037888
Chopra, S., Dillon, T., Bilec, M., & Khanna, V. (2016). A network-based framework for assessing infrastructure resilience: a case study of the London metro system. Journal of the Royal Society Interface, 13(118), 20160113. https://doi.org/10.1098/rsif.2016.0113 DOI: https://doi.org/10.1098/rsif.2016.0113
Duy, P., Chapman, L., Tight, M., Linh, P., & Thuong, L. (2018). Increasing vulnerability to floods in new development areas: evidence from Ho Chi Minh City. International Journal of Climate Change Strategies and Management, 10(1), 197–212. https://doi.org/10.1108/ijccsm-12-2016-0169 DOI: https://doi.org/10.1108/IJCCSM-12-2016-0169
Hong-xia, T., Zheng, J., Li, M., Shao, Z., & Li, L. (2023). Gauging the evolution of operational risks for urban rail transit systems under rainstorm disasters. Water, 15(15), 2811. https://doi.org/10.3390/w15152811 DOI: https://doi.org/10.3390/w15152811
Hu, J., Yang, M., & Zhen, Y. (2024). A review of resilience assessment and recovery strategies of urban rail transit networks. Sustainability, 16(15), 6390. https://doi.org/10.3390/su16156390 DOI: https://doi.org/10.3390/su16156390
Khodayar, S., Kushta, J., Catto, J., Dafis, S., Davolio, S., Ferrarin, C., … & Zittis, G. (2025). Mediterranean cyclones in a changing climate: a review on their socio‐economic impacts. Reviews of Geophysics, 63(2). https://doi.org/10.1029/2024rg000853 DOI: https://doi.org/10.1029/2024RG000853
Kolpakov, A., Sipiora, A., Johnson, C., & Nobler, E. (2021). Transportation fuel resiliency: case study of Tampa Bay. Transportation Research Record Journal of the Transportation Research Board, 2676(1), 655–665. https://doi.org/10.1177/03611981211041604 DOI: https://doi.org/10.1177/03611981211041604
Lang, Q., Wan, Z., Zhang, J., Zhang, Y., Zhu, D., & Liu, G. (2024). Resilience assessment and enhancement strategies for urban transportation infrastructure to cope with extreme rainfalls. Sustainability, 16(11), 4780. https://doi.org/10.3390/su16114780 DOI: https://doi.org/10.3390/su16114780
Lei, S., Chen, C., Li, Y., & Hou, Y. (2019). Resilient disaster recovery logistics of distribution systems: co-optimize service restoration with repair crew and mobile power source dispatch. IEEE Transactions on Smart Grid, 10(6), 6187–6202. https://doi.org/10.1109/tsg.2019.2899353 DOI: https://doi.org/10.1109/TSG.2019.2899353
Li, D., Hou, Y., Du, S., & Zhou, F. (2024). Cascading failure and resilience of urban rail transit stations under flood conditions: a case study of Shanghai Metro. Water, 16(19), 2731. https://doi.org/10.3390/w16192731 DOI: https://doi.org/10.3390/w16192731
Loni, A., & Asadi, S. (2024). Power system resilience: the role of electric vehicles and social disparities in mitigating the US power outages. Smart Grids and Sustainable Energy, 9(1). https://doi.org/10.1007/s40866-024-00204-6 DOI: https://doi.org/10.1007/s40866-024-00204-6
Miao, L., Zhang, Q., & Zhao, Z. (2024). A two-stage resilience enhancement strategy for distribution networks considering extreme weather conditions. Recent Patents on Engineering, 19. https://doi.org/10.2174/0118722121364943241216110126 DOI: https://doi.org/10.2174/0118722121364943241216110126
Mostafavi, A. (2017). A system-of-systems approach for integrated resilience assessment in highway transportation infrastructure investment. Infrastructures, 2(4), 22. https://doi.org/10.3390/infrastructures2040022 DOI: https://doi.org/10.3390/infrastructures2040022
Pitilakis, K., Argyroudis, S., Kakderi, K., & Selva, J. (2016). Systemic vulnerability and risk assessment of transportation systems under natural hazards towards more resilient and robust infrastructures. Transportation Research Procedia, 14, 1335–1344. https://doi.org/10.1016/j.trpro.2016.05.206 DOI: https://doi.org/10.1016/j.trpro.2016.05.206
Song, Y., Wan, C., Hu, X., Qin, H., & Lao, K. (2022). Resilient power grid for smart city. Ienergy, 1(3), 325–340. https://doi.org/10.23919/ien.2022.0043 DOI: https://doi.org/10.23919/IEN.2022.0043
Verma, P., Kumar, V., Verma, P., Lai, K., & Kaur, P. (2025). Leveraging innovative logistics for strengthening supply chain resilience in the face of disruptions. Asian Journal of Interdisciplinary Research, 35–55. https://doi.org/10.54392/ajir2523 DOI: https://doi.org/10.54392/ajir2523
Wan, Z., Lang, Q., Zhang, Y., Zhang, J., Chen, Y., Liu, G., … & Liu, H. (2025). Improving the resilience of urban transportation to natural disasters: the case of Changchun, China. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-024-84672-x DOI: https://doi.org/10.1038/s41598-024-84672-x
Wu, T., & Barrett, J. (2022). Coastal land use management methodologies under pressure from climate change and population growth. Environmental Management, 70(5), 827–839. https://doi.org/10.1007/s00267-022-01705-9 DOI: https://doi.org/10.1007/s00267-022-01705-9
Xu, Y., Wang, Y., He, J., Su, M., & Ni, P. (2019). Resilience-oriented distribution system restoration considering mobile emergency resource dispatch in transportation system. IEEE Access, 7, 73899–73912. https://doi.org/10.1109/access.2019.2921017 DOI: https://doi.org/10.1109/ACCESS.2019.2921017
Yao, F., Miao, S., Wang, T., Chen, C., Wang, J., & Wei, W. (2023). A resilience-oriented multi-stage operation strategy for distribution networks considering multi-type resources. Frontiers in Energy Research, 11. https://doi.org/10.3389/fenrg.2023.1290168 DOI: https://doi.org/10.3389/fenrg.2023.1290168
Zhang, X., Mahadevan, S., & Goebel, K. (2019). Network reconfiguration for increasing transportation system resilience under extreme events. Risk Analysis, 39(9), 2054–2075. https://doi.org/10.1111/risa.13320 DOI: https://doi.org/10.1111/risa.13320
Zhao, J., Chen, C., Hu, H., Woensel, T., & Wang, Y. (2025). Scheduling emergency materials using road-network repair time sequence. Transportation Research Record Journal of the Transportation Research Board, 2679(6), 540–559. https://doi.org/10.1177/03611981251318336 DOI: https://doi.org/10.1177/03611981251318336

