Work

Assessing climate-resilient infrastructure design, implementation, and evaluation: A structural equation modeling approach

Year: 2025

Type: article

Abstract: Climate change poses unprecedented challenges to infrastructure systems worldwide, necessitating a paradigm shift toward climate-resilient infrastructure. Despite growing recognition of the need for climate-resilient infrastructure, there is limited empirical understanding of how key project-level strategies, such as design practices, implementation processes, perceived infrastructure resilience, and institutional support are influenced by evaluation mechanisms. This study seeks to address this gap by developing and testing a structural equation model (SEM) that explores the relationships between design strategies, implementation processes, evaluation mechanisms, institutional support, and perceived infrastructure resilience. The study employed quantitative approach for data collection. SPSS and SEM were used for data analysis. The SEM-PLS analysis reveals that evaluation mechanisms function as the central construct, exerting substantial positive effects on endogenous variables in the model. Specifically, evaluation mechanisms demonstrate the strongest predictive relationships with design strategies ( β = 0.743, p < 0.001), implementation process ( β = 0.833, p < 0.001), and policy and institutional support ( β = 0.671, p < 0.001), while maintaining a moderate but significant relationship with perceived infrastructure resilience ( β = 0.741, p < 0.001). These findings underscore the critical importance of evaluation and monitoring systems in infrastructure development. These findings provide empirical support for all proposed hypotheses, confirming the central role of evaluation mechanisms in enhancing infrastructure development outcomes. The findings also offer significant practical value for construction companies, particularly those operating in developing countries where climate-resilient infrastructure awareness remains limited.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.108692

Authors: Aminu Darda’u Rafindadi, Yasser E Ibrahim, Sadi I Haruna, Abdurra’uf M. Gora, Bishir Kado

Institutions: Bayero University Kano, Prince Sultan University

Language: English

Topic: Infrastructure Resilience and Vulnerability Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,940