Nie-Jia Yau, Ming-Kuan Tsai and Eryani Nurma Yulita
Natural hazards occur frequently in Indonesia. When post-disaster recovery is prolonged and complicated, it is necessary to provide accommodations for homeless refugees in…
Abstract
Purpose
Natural hazards occur frequently in Indonesia. When post-disaster recovery is prolonged and complicated, it is necessary to provide accommodations for homeless refugees in disaster areas. Since a transitional housing solution includes planning, design and execution phases, the design phase implements the decisions made in the planning phase and also affects the results of the execution phase. Therefore, the purpose of this paper is to assist communities to effectively deal with various processes during the design phase involving transitional housing solutions.
Design/methodology/approach
Based on eight factors associated with “building back better” and ten principles of transitional housing, the paper identified three problems in the design phase: inappropriate selection of settlement sites, improper representation of housing facilities and ineffective scheduling of construction projects. To resolve these problems, this study integrated a geographic information system (GIS), three-dimensional (3D) building models and construction project management tools to assess settlement sites, confirm housing facilities and configure construction projects, respectively.
Findings
After this study tested conventional methods (e.g. paper-based maps, drawings, reports) and the proposed approach, the results revealed that communities can appropriately determine settlement sites based on the GIS. The 3D building models enabled the communities to understand the external and internal layouts of housing facilities. Through construction project management, the communities could consider construction activities immediately when preparing the execution phase for transitional housing solutions.
Originality/value
This study offers a useful reference for similar applications in post-disaster reconstruction and management.
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This paper presents a hybrid artificial intelligence (AI) system capable of integrating techniques of case‐based reasoning, rule induction and expert system, using them for…
Abstract
This paper presents a hybrid artificial intelligence (AI) system capable of integrating techniques of case‐based reasoning, rule induction and expert system, using them for knowledge acquisition and problem solving of selecting appropriate retaining wall systems at the project planning stage. The proposed hybrid system can eliminate the bottleneck of knowledge acquisition in developing a knowledge‐based system and improve the solution quality of the AI‐based system. Test results indicate that solutions generated by the proposed hybrid system are better than those generated by using a single technique.
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M. ALSHAWI and Z. HASSAN
Sharing and exchanging information between project participants are basic requirements for developing construction plans. An isolated construction planning knowledge‐based system…
Abstract
Sharing and exchanging information between project participants are basic requirements for developing construction plans. An isolated construction planning knowledge‐based system is no more useful and beneficial than any another ‘island of automation’ unless the integration with other construction applications are addressed. This paper proposes conceptual data and process models for a construction planning system, CONPLAN (Intelligent CONstruction PLANning), which works within a fully Integrated Construction Environment (ICE). An object oriented methodology (James Martin) has been used to establish generic construction models within which other construction applications can be integrated. This paper also introduces briefly the modularized approach that has been adopted to integrate the various construction applications over the project life cycle.