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Edwads, P., Cole, B., Tesh, J., Cameron, J., Albrito, H., Newnham, P., Crask, C., Vallejo, J., Sperrin, L., Watson, M., Home, J., Pretson, R., Branicki, J., Kalawski, I. and Binner, J. (2013) Measuring the Resilience of Cities: The Role of Big Data. Proceedings of the Conference of Measuring the Resilience of Cities: The Role of Big Data, 25 October 2013, 1-143.

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• TITLE: Testing the Proposed Municipality Resilience Index to Climate Change Shocks and Stresses in Mbale Municipality in Eastern Uganda

  AUTHORS: George Oriangi, Yazidhi Bamutaze, Paul Isolo Mukwaya, Paul Musali, Giuliano Di Baldassarre, Petter Pilesjö

  KEYWORDS: Urban, Resilience, Index, Climate Change, Shocks and Stresses

  JOURNAL NAME: American Journal of Climate Change, Vol.8 No.4, December 4, 2019

  ABSTRACT: Since climate change shocks and stresses cannot be fully prevented, building resilient urban areas is gaining more attention in the global community. By building resilience, the negative impacts of climate change shocks and stresses can be alleviated. Several indices have been developed to measure urban resilience. Yet, most of these indices focus more on objective methods which require robust bio-physical and socio-economic data sets which are generally lacking in many developing countries. To reduce this challenge, the use of subjective methods has recently been suggested. This study proposed and tested a Municipality Resilience Index (MRI) which employed a subjective method to assess the resilience of Mbale municipality in Eastern Uganda against climate change shocks and stresses. The proposed MRI includes 46 variables describing the physical, social, economic and institutional dimensions. The MRI can be applied in any municipality in developing countries facing climate related shocks and stresses and with limited survey data. The application of this index to Mbale municipality shows that the municipality has a low resilience index of 0.2. Similarly, most variables in the four dimensions of resilience reflected very low resilience scores with other divisions being more resilient than the others. Furthermore, the social dimension has the lowest score as compared to the physical, economic and institutional dimensions. The findings indicate a spatial variability in the contribution of the resilience dimensions within this small geographic confine. Moreover, the findings show the strengths and weaknesses in the different dimensions of the proposed MRI. This can act as a guide for policy and practitioners on which sectors to target in order to enhance the resilience of Mbale municipality.