Sustainable post-disaster settlement (SPS) assessment model for evaluating performance of construction management in post-flood risk-reduction and recovery

Shafaghat Arezou, . and Keyvanfar Ali, . and Nurulfara Ya’acob, . and Amilia Roslan, . Sustainable post-disaster settlement (SPS) assessment model for evaluating performance of construction management in post-flood risk-reduction and recovery. pp. 174-199. ISSN 2672-7226

Understanding post-flood risks and construction management capacities can help us handle disasters effectively and appropriately. The construction professionals need a post-disaster assessment model capable of evaluating construction management performances and capabilities from social economic and technical aspects. This research developed a universal decision support tool called Sustainable Post-disaster Settlement (SPS) assessment model. The research has two objectives. Objective one is to investigate and identify the performance indicators of construction management for post-flood risk reduction and recovery which were classified to sustainability bottom-line clusters (social economic and technology) and three sub-clusters (cost quality and time) by applying critical literature review method. The research identified 42 indicators and revealed that SQ‚‚. Layout Requirement and SQ‚�. Flexible design should be extensively considered in post-flood disaster settlement. Objective two was to measure the weights of indicators by employing the content analysis and rescaling normalization methods. It found that the social cluster (AXS Sum 2.298) is more critical than finance and technology clusters in post-flood disaster settlement. Having the weights of indicators the SPS assessment model was formulated which was validated by using the Weighted Sum Method. The validation study determined that the SPS model is practically usable for performance evaluation of construction management projects.

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Abstract

Understanding post-flood risks and construction management capacities can help us handle disasters effectively and appropriately. The construction professionals need a post-disaster assessment model capable of evaluating construction management performances and capabilities from social economic and technical aspects. This research developed a universal decision support tool called Sustainable Post-disaster Settlement (SPS) assessment model. The research has two objectives. Objective one is to investigate and identify the performance indicators of construction management for post-flood risk reduction and recovery which were classified to sustainability bottom-line clusters (social economic and technology) and three sub-clusters (cost quality and time) by applying critical literature review method. The research identified 42 indicators and revealed that SQ‚‚. Layout Requirement and SQ‚�. Flexible design should be extensively considered in post-flood disaster settlement. Objective two was to measure the weights of indicators by employing the content analysis and rescaling normalization methods. It found that the social cluster (AXS Sum 2.298) is more critical than finance and technology clusters in post-flood disaster settlement. Having the weights of indicators the SPS assessment model was formulated which was validated by using the Weighted Sum Method. The validation study determined that the SPS model is practically usable for performance evaluation of construction management projects.

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Item Type:	Article
AGROVOC Term:	Construction
AGROVOC Term:	Flood control
AGROVOC Term:	Natural disasters
AGROVOC Term:	Analytical methods
AGROVOC Term:	Data collection
AGROVOC Term:	Data analysis
AGROVOC Term:	Disaster prevention
AGROVOC Term:	reconstruction
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/9985

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