Assessment of Households’ Vulnerability and Resilience to Landslide Hazard in Murree Hills of Pakistan

Abraham, M. T., Satyam, N., Pradhan, B., & Alamri, A. M. (2020). Forecasting of landslides using rainfall severity and soil wetness: a probabilistic approach for Darjeeling Himalayas. Water, 12(3), 804. https://doi.org/10.3390/w12030804

Adhikari, S., Dhungana, N., & Upadhaya, S. (2020). Watershed communities’ livelihood vulnerability to climate change in the Himalayas. Climatic Change, 162(3), 1307-1321. https://doi.org/10.1007/s10584-020-02870-8

Ahmad, D., & Afzal, M. (2019). Household vulnerability and resilience in flood hazards from disaster-prone areas of Punjab, Pakistan. Natural Hazards, 99(1), 337-354. https://doi.org/10.1007/s11069-019-03743-9

Coronese, M., Lamperti, F., Keller, K., Chiaromonte, F., & Roventini, A. (2019). Evidence for sharp increase in the economic damages of extreme natural disasters. Proceedings of the National Academy of Sciences, 116(43), 21450-21455. https://doi.org/10.1073/pnas.190782611

Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to natural disasters. Global environmental change, 18(4), 598-606. https://doi.org/10.1016/j.gloenvcha.2008.07.013

Cutter, L., Burton, G., & Emrich, T. (2010). Disaster resilience indicators for benchmarking baseline conditions. Journal of Homeland Security and Emergency Management, 7(1), 1–22. https://doi.org/10.2202/1547-7355.1732

De Andrade, M. M. N., & Szlafsztein, C. F. (2018). Vulnerability assessment including tangible and intangible components in the index composition: An Amazon case study of flooding and flash flooding. Science of the total environment, 630, 903-912. https://doi.org/10.1016/j.scitotenv.2018.02.271

Dikshit, A., Sarkar, R., Pradhan, B., Acharya, S., & Alamri, A. M. (2020). Spatial landslide risk assessment at Phuentsholing, Bhutan. Geosciences, 10(4), 131. https://doi.org/10.3390/geosciences10040131

 Dou, J., Yunus, A. P., Bui, D. T., Merghadi, A., Sahana, M., Zhu, Z., Chen, C., Han, Z. & Pham, B. T. (2020). Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan. Landslides, 17(3), 641-658. https://doi.org/10.1007/s10346-019-01286-5

Eidsvig, K., McLean, A., Vangelsten, B. feduV., Kalsnes, B., Ciurean, R. L., Argyroudis, S., Winter, M.G., Mavrouli, C., Fotopoulou, S., Pitilakis, K., Baills, A., Malet, J.P., & Kaiser, G. (2014). Assessment of socioeconomic vulnerability to landslides using an indicator-based approach: methodology and case studies. Bulletin of engineering geology and the environment, 73(2), 307. https://doi.org/10.1007/s10064-014-0571-2

Khan, A. N., Collins, A. E., & Qazi, F. (2011). Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan. Natural Hazards, 57(2), 413-434. https://doi.org/10.1007/s11069-010-9621-7

Lin, S., Shaw, D., & Ho, M. C. (2008). Why are flood and landslide victims less willing to take mitigation measures than the public? Natural Hazards, 44(2), 305-314. https://doi.org/10.1007/s11069-007-9136-z

Nor Diana, M. I., Muhamad, N., Taha, M. R., Osman, A., & Alam, M. (2021). Social vulnerability assessment for landslide hazards in Malaysia: A systematic review study. Land, 10(3), 315. https://doi.org/10.3390/land10030315

PBS (2017). Pakistan Beauru of Statistics, Islamabad, Pakistan. https://www.pbs.gov.pk/sites/default/files/PAKISTAN%20TEHSIL%20WISE%20FOR%20WEB%20CENSUS_2017.pdf [Accessed December 26, 2024].

Pellicani, R., Van Westen, C. J., & Spilotro, G. (2014). Assessing landslide exposure in areas with limited landslide information. Landslides, 11(3), 463-480.  https://doi.org/10.1007/s10346-013-0386-4

Pollock, W., & Wartman, J. (2020). Human vulnerability to landslides. Geo Health, 4(10), e2020GH000287. https://doi.org/10.1029/2020GH000287

Prasetyo, Y. T., Senoro, D. B., German, J. D., Robielos, R. A. C., & Ney, F. P. (2020). Confirmatory factor analysis of vulnerability to natural hazards: A household Vulnerability Assessment in Marinduque Island, Philippines. International Journal of Disaster Risk Reduction, 50, 101831. https://doi.org/10.1016/j.ijdrr.2020.101831

Qasim, S., Qasim, M., Shrestha, R. P., Khan, A. N., Tun, K., & Ashraf, M. (2016). Community resilience to flood hazards in Khyber Pukhthunkhwa province of Pakistan. International Journal of Disaster Risk Reduction, 18, 100-106. https://doi.org/10.1016/j.ijdrr.2016.03.009

Qasim, S., Qasim, M., Shrestha, R. P., & Khan, A. N. (2018). Socio-economic determinants of landslide risk perception in Murree hills of Pakistan. AIMS Environmental Science, 5(5), 305-314. 10.3934/environsci.2018.5.305. 10.3934/environsci.2018.5.305

Qasim, S., & Qasim, M. (2020). An indicator based approach for assessing household’s perceptions of landslide risk in Murree hills of Pakistan. Natural Hazards, 103(2), 2171-2182. https://doi.org/10.1007/s11069-020-04076-8

Qasim, S., Qasim, M., & Shrestha, R. P. (2021). A survey on households’ resilience to landslide hazard in Murree hills of Pakistan. Environmental Challenges, 4, 100202. https://doi.org/10.1016/j.envc.2021.100202

Rahman, A. U., Khan, A. N., & Collins, A. E. (2014). Analysis of landslide causes and associated damages in the Kashmir Himalayas of Pakistan. Natural hazards, 71(1), 803-821. https://doi.org/10.1007/s11069-013-0918-1

Ravallion, M., Chen, S., & Sangraula, P. (2009). Dollar a day revisited. The World Bank Economic Review, 23(2), 163-184. https://doi.org/10.1093/wber/lhp007

Rifat, S. A. A., & Liu, W. (2020). Measuring community disaster resilience in the conterminous coastal United States. ISPRS International Journal of Geo-Information, 9(8), 469.  https://doi.org/10.3390/ijgi9080469

Saja, A. A., Teo, M., Goonetilleke, A., & Ziyath, A. M. (2018). An inclusive and adaptive framework for measuring social resilience to disasters. International journal of disaster risk reduction, 28, 862-873. https://doi.org/10.1016/j.ijdrr.2018.02.004

Siders, A. R. (2019). Adaptive capacity to climate change: A synthesis of concepts, methods, and findings in a fragmented field. Wiley Interdisciplinary Reviews: Climate Change, 10(3), e573.  https://doi.org/10.1002/wcc.573

Van der Geest, K. (2018). Landslide loss and damage in Sindhupalchok District, Nepal: comparing income groups with implications for compensation and relief. International Journal of Disaster Risk Science, 9(2), 157-166. https://doi.org/10.1007/s13753-018-0178-5

Yamane, T. (1967) Statistics: An introductory analysis. New York: Harper & Row.