The Analysis of Urban Settlements Resilience of Qazvin City Against Floods Using Confirmatory Factor Analysis Method

Document Type : Original Research Article

Authors

Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract

Today, improving flood resilience has grown to be a significant and comprehensive area in flood risk management. The present study aims to analyze the urban settlements resilience against floods in the Qazvin city. The data collection instrument is a questionnaire, and the data analysis is done using the Confirmatory Factor Analysis method. In this study, indicators were first identified and hypotheses were developed based on these indicators, and finally, all the hypotheses were confirmed using statistical techniques. Here, four hypotheses were defined: 1) Social factors affect the resilience of urban settlements against floods in Qazvin city, 2) Environmental factors affect the resilience of urban settlements against floods in Qazvin city, 3) Technical factors affect the resilience of urban settlements against floods in Qazvin city, 4) Managerial factors affect the resilience of urban settlements against floods in Qazvin city. The effect of all the indicators in the dimensions of social factors, technical factors, managerial factors, and environmental factors was confirmed. The results show that social, technical, environmental, and managerial factors affect the urban settlements resilience against floods in the Qazvin city. Social factors have the most influence with an importance value of 0.8. The influence of social factors on the resilience of urban settlements against floods in Qazvin city has been investigated using T-statistics. The estimated value is equal to 5.640. Considering that all considered factors are significant, they have been identified as relevant and influential in resilience.

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Amaratunga, D. & Haigh, R., 2011. Post-disaster reconstruction of the built environment: Rebuilding for resilience. John Wiley & sons.
Arouri, M., Nguyen, C. & Youssef, A.B., 2015. Natural disasters, household welfare, and resilience: evidence from rural Vietnam. World development, 70, 59-77.
Kline, R.B., 2010. Promise and pitfalls of structural equation modeling in gifted research.
Mododi Arkhodi, M., Boroumand, R. & Akbari, E., 2020. Explaining the resilience of rural areas against natural hazards with emphasis on flood. Journal of Natural Environmental Hazards, 9(23), 151-172.
Manyena, S.B., 2006. The concept of resilience revisited. Disasters, 30(4), 434-450.
Nezamfar, H. & Pashazadeh, A., 2018. Evaluation of urban resilience against natural hazards Case study: Ardabil city. Geographical planning of space quarterly journal, 8(27), 101-116.
Ringle, C.M., Sarstedt, M. & Straub, D.W., 2012. Editor's comments: a critical look at the use of PLS-SEM in" MIS Quarterly". MIS quarterly, iii-xiv.
Sui, H.C., 2011. Resilience in Space: An experimental analysis of resilience in urban flood management in the Taipei Basin. Master diss., Lund University.
Tenenhaus, M., Vinzi, V.E., Chatelin, Y.M. & Lauro, C., 2005. PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Wang, Y., Meng, F., Liu, H., Zhang, C. & Fu, G., 2019. Assessing catchment scale flood resilience of urban areas using a grid cell based metric. Water research, 163, 114852.
Gao, M., Wang, Z. & Yang, H., 2022. Review of urban flood resilience: insights from scientometric and systematic analysis. International Journal of Environmental Research and Public Health, 19(14), 8837.
Ebissa, G. & Desta, H., 2022. Review of urban agriculture as a strategy for building a water resilient city. City and Environment Interactions, 14, 100081.
Afsari, R., Nadizadeh Shorabeh, S., Kouhnavard, M., Homaee, M. & Arsanjani, J.J., 2022. A spatial decision support approach for flood vulnerability analysis in urban areas: A case study of Tehran. ISPRS International Journal of Geo-Information, 11(7), 380 p.
Wang, Y., Zhang, C., Chen, A.S., Wang, G. & Fu, G., 2023. Exploring the relationship between urban flood risk and resilience at a high-resolution grid cell scale. Science of the Total Environment, 164852.