Alam, Erfanur-Bin and Akter, Nipa (2022) Climate-Resilient Urban Infrastructure for Disaster-Risk Reduction and Sustainable Community Development. CENTRAL ASIAN JOURNAL OF THEORETICAL AND APPLIED SCIENCE, 3 (9). pp. 142-151. ISSN 2660-5317

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Abstract

Background: The fast growth of cities together with environmental changes has made urban areas more susceptible to flooding and water damage and extreme heat and broken public systems. Urban areas of developing nations face rising disaster threats because their infrastructure remains fragile while their disaster management systems stay weak and their governance structures display multiple deficiencies. Methods: A quantitative cross-sectional survey design to investigate how Climate-Resilient Infrastructure and Disaster Preparedness and Governance Effectiveness and Community Awareness (CA) influence Sustainable Community Development. The study gathered primary data through a five-point Likert scale questionnaire which 215 participants completed. The analysis process included descriptive statistics and Pearson correlation analysis and reliability tests (Cronbach’s Alpha and Composite Reliability) and a Climate Resilience Performance Index. Results: This research data reveals that SCD obtained the highest average score of 3.88 while CRI followed with 3.76 and CA received 3.74 and GE scored 3.69 and DP achieved 3.58. Correlation analysis demonstrates that CRI and SCD maintain a strong positive association which produces a correlation coefficient of +0.69. The data demonstrates a negative correlation between GE and DP which produces a correlation coefficient of -0.45. Data shows that disaster preparedness execution through governance systems produces inefficient operational results. The CRPI results show that 45.6% of respondents demonstrate moderate resilience levels while 33% of respondents belong to vulnerable groups. Conclusion: Climate-resistant infrastructure supports sustainable community development through its direct influence disaster response systems and leadership structures need to improve their coordination systems.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General)
Depositing User:	admin eprints
Date Deposited:	28 Jun 2026 23:17
Last Modified:	28 Jun 2026 23:17
URI:	http://eprints.umsida.ac.id/id/eprint/16654

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