Abstract
Identification and prioritization of local level risk through community engagement has long been stressed to inform risk reduction programme. There is a long history of community risk assessment (CRA) as a tool to increase community participation in identifying risk and developing management strategies. The Aga Khan Agency for Habitat (AKAH) as a part of an effort to develop holistic disaster risk reduction programme has developed and internalized innovative community level risk assessment integrating GIS technology with participatory risk assessment (PRA). The GIS framework has made integration of as many indicators as possible while implementing complex risk assessment algorithm. The distinction between living zone and activity zone and assigning different weightages enable attributing higher risk to population and critical assets in contrary to less critical assets. Similarly, assigning different weights for hazard based on onset nature in risk calculation, possible using GIS framework result in scientifically robust as well as more realistic risk products. The consistent backend database of hazard, vulnerability, and risk, with spatial and temporal attributes serves as a valuable resource to understand risk dynamics through monitoring of risk pattern. The multi-temporal database also helps in assessment and evaluation of risk reduction interventions, as risk moderation is partly an impact of the interventions. This innovative approach on community level risk assessment has long informed AKAH’s work to build safer habitat across programme areas, for which AKAH Pakistan bagged the World Habitat Gold Award in 2020.
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Acknowledgements
The team is grateful to the AKAH management for giving permission to present and publish on AKAH’s approach on community level risk assessment and use for informing local level risk reduction. Sincere gratitude to the country technical teams diligently undertaking HVRA across often hard to reach settlements and contributing towards developing resilient communities.
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Dobariya, R., Bano, D., Momin, K., Gurung, D.R., Nasab, N. (2023). Community Level Risk Assessment Using GIS—An Innovative Method for Participatory Risk Assessment. In: Pal, I., Kolathayar, S., Tawhidul Islam, S., Mukhopadhyay, A., Ahmed, I. (eds) Proceedings of the 2nd International Symposium on Disaster Resilience and Sustainable Development. Lecture Notes in Civil Engineering, vol 294. Springer, Singapore. https://doi.org/10.1007/978-981-19-6297-4_19
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