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Article
Publication date: 22 June 2021

Siti Aisyah Ahmad Basri, Sharifah Akmam Syed Zakaria, Taksiah A.Majid and Zulkifli Yusop

The disaster risk management cycle (DRMC) is a part of the important efforts designed to handle disaster risk. DRMC contains the following four phases: response, recovery…

Abstract

Purpose

The disaster risk management cycle (DRMC) is a part of the important efforts designed to handle disaster risk. DRMC contains the following four phases: response, recovery, mitigation and preparedness. This paper aims to determine the awareness of stakeholder on DRMC and to explore the application of DRMC from stakeholder’s perspective.

Design/methodology/approach

Disaster is an extreme event that causes heavy loss of life, properties and livelihood. Every year, Malaysia has been affected by disasters, whether natural or manmade. DRM is the management of resources and the responsibility for dealing with all aspects of an emergency. An effective DRM requires a combination of knowledge and skills. Questionnaires were distributed to the construction industry players and flood victims.

Findings

Results obtained on the basis of the survey revealed that a majority of respondents are unaware of DRMC. In addition, combination of professional and non-professional respondent’s perspectives in each phase of DRMC and effects of disaster are presented by the hierarchy.

Originality/value

The study of DRMC is commonly about the explanation or comparison of the concept but infrequently in the application of the DRMC. This study will fill the gap between theory and application of DRMC. The study aimed to determine whether the construction industry player and community aware of DRMC and to explore DRMC of flood event from perspective of industry players and flood victims. From this comparison, the management can create a better cycle of disaster management to handle various type disaster and to anticipate disaster risks.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 13 no. 4
Type: Research Article
ISSN: 1759-5908

Keywords

Article
Publication date: 12 December 2023

Niveen Badra, Hosam Hegazy, Mohamed Mousa, Jiansong Zhang, Sharifah Akmam Syed Zakaria, Said Aboul Haggag and Ibrahim Abdul-Rashied

This research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel…

Abstract

Purpose

This research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel pedestrian bridges (SPBs). The cost estimation process uses two main parameters, but the main goal is to create a cost estimation model.

Design/methodology/approach

This study explores a flexible model design that uses computing capabilities for decision-making. Using cost optimization techniques, the model can select an optimal pedestrian bridge system based on multiple criteria that may change independently. This research focuses on four types of SPB systems prevalent in Egypt and worldwide. The study also suggests developing a computerized cost and weight optimization model that enables decision-makers to select the optimal system for SPBs in keeping up with the criteria established for that system.

Findings

In this paper, the authors developed an optimization model for cost estimates of SPBs. The model considers two main parameters: weight and cost. The main contribution of this study based on a parametric study is to propose an approach that enables structural engineers and designers to select the optimum system for SPBs.

Practical implications

The implications of this research from a practical perspective are that the study outlines a feasible approach to develop a computerized model that utilizes the capabilities of computing for quick cost optimization that enables decision-makers to select the optimal system for four common SPBs based on multiple criteria that may change independently and in concert with cost optimization during the preliminary design stage.

Social implications

The model can choose an optimal system for SPBs based on multiple criteria that may change independently and in concert with cost optimization. The resulting optimization model can forecast the optimum cost of the SPBs for different structural spans and road spans based on local unit costs of materials cost of steel structures, fabrication, erection and painting works.

Originality/value

The authors developed a computerized model that uses spreadsheet software's capabilities for cost optimization, enabling decision-makers to select the optimal system for SPBs meeting the criteria established for such a system. Based on structural characteristics and material unit costs, this study shows that using the optimization model for estimating the total direct cost of SPB systems, the project cost can be accurately predicted based on the conceptual design status, and positive prediction outcomes are achieved.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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