Citation
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
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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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.
Additional Metadata
Item Type: | Article |
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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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