GIS-Enabled Resilience Strategies for Post-Disaster Reconstruction: A Case Study of Pakistan
Publication: Computing in Civil Engineering 2023
ABSTRACT
The floods in 2022 resulted in significant damage to infrastructure and livelihoods. Being vulnerable to climate change, Pakistan must convert this adversity into an opportunity by developing robust, efficient, and resilient post-disaster reconstruction (PDR) strategies. This paper aims to identify and develop GIS-enabled resilience approaches and strategies that Pakistan’s stakeholders can use in the PDR. The triangulation approach is adopted to identify GIS-enabled resilience strategies for PDR. This research involved a systematic review of current GIS and PDR resilience strategies, as well as an exploration of GIS-enabled resilient PDR strategies. The strategies were further refined through a questionnaire and interviews with stakeholders in Pakistan. The results from triangulation research show that GIS-enabled resilience strategies play a pivotal role in making PDR more resilient and sustainable. The research will help the Government of Pakistan and other developing countries to improve efficiency during PDR and priorities investments in climate-resilient infrastructure.
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REFERENCES
Abrahams, D. (2014). The barriers to environmental sustainability in post-disaster settings: A case study of transitional shelter implementation in Haiti. Disasters, 38(s1), S25–S49.
Ali, R. A., Mannakkara, S., and Wilkinson, S. (2020). Factors affecting successful transition between post-disaster recovery phases: A case study of 2010 floods in Sindh, Pakistan. International Journal of Disaster Resilience in the Built Environment, 11(5), 597–614. https://doi.org/10.1108/IJDRBE-03-2020-0016.
Assem, A., Abdelmohsen, S., and Ezzeldin, M. (2019). Smart management of the reconstruction process of post-conflict cities. Archnet-IJAR: International Journal of Architectural Research, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ARCH-04-2019-0099.
Baarimah, A. O., Alaloul, W. S., Liew, M. S., Kartika, W., Al-Sharafi, M. A., Musarat, M. A., Alawag, A. M., and Qureshi, A. H. (2021). A Bibliometric Analysis and Review of Building Information Modelling for Post-Disaster Reconstruction. Sustainability, 14(1), 393. https://doi.org/10.3390/su14010393.
Biass, S., Frischknecht, C., and Bonadonna, C. (2012). A fast GIS-based risk assessment for tephra fallout: The example of Cotopaxi volcano, Ecuador-Part II: vulnerability and risk assessment. Natural Hazards, 64(1), 615–639.
Bilau, A. A., Witt, E., and Lill, I. (2015). A Framework for Managing Post-disaster Housing Reconstruction. Procedia Economics and Finance, 21, 313–320. https://doi.org/10.1016/S2212-5671(15)00182-3.
Bilau, A., Witt, E., and Lill, I. (2018). Practice Framework for the Management of Post-Disaster Housing Reconstruction Programmes. Sustainability, 10(11), 3929.
Chang, Y., Wilkinson, S., Seville, E., and Potangaroa, R. (2010). Resourcing for a resilient post‐disaster reconstruction environment. International Journal of Disaster Resilience in the Built Environment, 1(1), 65–83. https://doi.org/10.1108/17595901011026481.
Dunn, S., and Gonzalez-Otalora, S. (2021). Development of an Adaptive Solution to Increase Infrastructure System Resilience Based upon a Location-Allocation Methodology. Journal of Infrastructure Systems, 27(1), 04020043. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000585.
Gigović, L., Pamučar, D., Bajić, Z., and Drobnjak, S. (2017). Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas. Water, 9(6), Article 6.
Government of Pakistan. (2022). Pakistan Floods 2022: Post-Disaster Needs Assessment (PDNA). Available at: https://www.pc.gov.pk/uploads/downloads/PDNA_report.pdf.
Government of Pakistan. (2022). Resilient Recovery, Rehabilitation, and Reconstruction Framework Pakistan (4RF). Available at: https://www.pc.gov.pk/uploads/downloads/Final_4RF.pdf.
Huang, W., and Ling, M. (2018). System resilience assessment method of urban lifeline system for GIS. Computers, Environment and Urban Systems, 71, 67–80.
Kamara, J., Akombi, B., Agho, K., and Renzaho, A. (2018). Resilience to Climate-Induced Disasters and Its Overall Relationship to Well-Being in Southern Africa: A Mixed-Methods Systematic Review. International Journal of Environmental Research and Public Health, 15(11), 2375. https://doi.org/10.3390/ijerph15112375.
Mabon, L. (2019). Enhancing post-disaster resilience by ‘building back greener’: Evaluating the contribution of nature-based solutions to recovery planning in Futaba County, Fukushima Prefecture, Japan. Landscape and Urban Planning, 187, 105–118.
Mahmood, S., Rahman, A., and Shaw, R. (2019). Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan. Environmental Monitoring and Assessment, 191(9), 573.
Mainka, S. A., and McNeely, J. (2011). Ecosystem Considerations for Postdisaster Recovery: Lessons from China, Pakistan, and Elsewhere for Recovery Planning in Haiti. Ecology and Society, 16(1), art13. https://doi.org/10.5751/ES-03858-160113.
Qi, P., An, Q., and Liu, F. (2021). Environmental impact assessment method of highway reconstruction project based on the integration of remote sensing image and GIS. 2021 2nd Asia Symposium on Signal Processing (ASSP), 208–214.
Rehman, J., Sohaib, O., Asif, M., and Pradhan, B. (2019). Applying systems thinking to flood disaster management for a sustainable development. International Journal of Disaster Risk Reduction, 36, 101101. https://doi.org/10.1016/j.ijdrr.2019.101101.
Tafti, M. T., and Tomlinson, R. (2015). Best practice post-disaster housing and livelihood recovery interventions: Winners and losers. International Development Planning Review, 37(2), 165–185. https://doi.org/10.3828/idpr.2015.14.
Yau, N.-J., Tsai, M.-K., and Nurma Yulita, E. (2014). Improving efficiency for post-disaster transitional housing in Indonesia: An exploratory case study. Disaster Prevention and Management, 23(2), 157–174. https://doi.org/10.1108/DPM-04-2013-0071.
UNDRR (United Nations Office for Disaster Risk Reduction). (2015). Sendai framework for disaster risk reduction 2015–2030. Geneva: UNISDR.
Yi, H., and Yang, J. (2014). Research trends of post disaster reconstruction: The past and the future. Habitat International, 42, 21–29. https://doi.org/10.1016/j.habitatint.2013.10.005.
Zhang, X., Fang, C., Wang, Z., and Ma, H. (2013). Urban construction land suitability evaluation based on improved multi-criteria evaluation based on GIS (MCE-GIS): Case of New Hefei City, China. Chinese Geographical Science, 23(6), 740–753. https://doi.org/10.1007/s11769-013-0609-6.
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Information
Published In
Computing in Civil Engineering 2023
Pages: 44 - 51
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Business management
- Case studies
- Construction engineering
- Construction management
- Developing countries
- Disaster risk management
- Disasters and hazards
- Engineering fundamentals
- Floods
- Geomatics
- Infrastructure
- Infrastructure resilience
- Methodology (by type)
- Natural disasters
- Practice and Profession
- Research methods (by type)
- Surveying methods
- Sustainable development
- Triangulation
- Water and water resources
Authors
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