Determining Effective Dimensions of Flood Resilience Utilizing Structural Equation Modeling (SEM): (A Case study of Darband Neighborhood)

Document Type : Research Paper

Authors

1 M. Sc of Urban Planning, Faculty of Architecture and Urban Planning, Imam Khomeini International University, Qazvin, Iran

2 Assistant Professor of Urban Planning, Faculty of Architecture and Urban Planning, Imam Khomeini International University, Qazvin, Iran

10.22111/gdij.2025.51833.3733

Abstract

Natural disasters are a set of harmful events of natural origin that are sometimes exacerbated by human factors. Owing to the expansion and development of cities, in some cases, improper expansion in high-risk areas, urban complexes face the challenge of flooding as a natural crisis. Resilience is one approach to reduce the vulnerability of communities and strengthen people's abilities to deal with the risks caused by natural crises, especially urban floods. For this purpose, the present study was conducted with the aim of identifying and evaluating the Darband neighborhood based on flood resilience indicators. This study is applied in terms of results and based on quantitative methods, which in order to analyze the data and achieve the research goal, after extracting resilience indicators and evaluating the resilience of the Darband neighborhood against floods, a questionnaire with a five-level Likert scale was used, and information and opinions of citizens in this area were collected. The Cochran formula was used to determine the sample size, and the sample population of the study was estimated to be 371 people; the Cronbach's alpha value was calculated to be 0.919, which indicates very good internal validity and reliability of the questionnaire questions. To analyze the statistical data and to fit the conceptual model of the study, the structural equation modeling method based on the partial least squares approach was used with the help of SmartPLS software. The results of the study showed that the path coefficient leading to the latent physical-environmental criterion (0.411) had the strongest effect. This means that the physical-environmental criterion has a strong effect on the effectiveness of the resilience of the Darband neighborhood against flooding, and economic and infrastructure criteria with path coefficients of (0.2) and (0.173), social indicators (0.168), institutional-managerial (0.163), and resilience of the Darband neighborhood against floods.

Keywords

References

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History

  • Receive Date: 28 April 2025
  • Revise Date: 06 August 2025
  • Accept Date: 13 August 2025

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