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Decision Support Framework Integrating Spatial Information for Building Flood Retrofit : 건축물 홍수대응 위한 공간정보 기반 의사결정 도구 개발 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Hyun-Soo Lee | - |
dc.contributor.author | Mélissa Mamba Mutunda | - |
dc.date.accessioned | 2017-07-14T04:05:44Z | - |
dc.date.available | 2017-07-14T04:05:44Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.other | 000000141349 | - |
dc.identifier.uri | https://hdl.handle.net/10371/124156 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 건축학과, 2017. 2. 이현수. | - |
dc.description.abstract | As the climate changes, raising the frequency of stronger thunderstorms, the flood risk that metropolitan cities face will only intensify. With ongoing informal settlements and ever-increasing changes in the land use, building assets that are not exposed to flooding will eventually find themselves within floodplains.
As an attempt to adapt buildings to withstand future events and decrease their vulnerability, researchers and government agencies have developed various flood retrofit strategies. However, the implementation in urban areas is not always feasible or appropriate due to insufficient geospatial consideration in the decision-making process. The present research aims to provide a decision support framework combining spatial aspects, along with all influencing factors to derive suitable retrofit solutions for homeowners. Through Geographic Information Systems (GIS), spatial characteristics are first extracted as data prerequisite, then inserted into the analytic hierarchy process (AHP) for an efficient evaluation of appropriate structural measures against flood. To ensure the effectiveness of the framework process, a study of a residential house is conducted in Kinshasa, the capital city of Democratic Republic of Congo, which regularly endures severe inundation. As research results, digital maps of exposed buildings are provided, as well as recommendations of most suitable retrofitting options for the case study. Not only the simplified GIS-based calculation approach can be used to generate flood impacts without specialist knowledge, but also government authorities and managers can take advantage of the framework process to suggest tailored solutions for homeowners, actively involved in the process. | - |
dc.description.tableofcontents | Chapter 1. Introduction 1
1.1. Research Motivation 2 1.2. Problem Statement 7 1.3. Research Objectives and Scope 9 1.4. Research Process and Methodology 12 1.5. Summary 14 Chapter 2. Preliminary Studies 15 2.1. GIS as prerequisite 16 2.2. Multi-criteria Decision Support Methods 39 2.3. Summary 53 Chapter 3. Decision Support Framework Development 54 3.1. Retrofit Aspects, Alternatives and Criteria Selection 55 3.2. Retrofit Framework Process 61 3.3. Framework Efficiency Discussion 64 3.4. Summary 66 Chapter 4. Decision Support Framework Application 67 4.1. Study Context Setting 68 4.2. Retrofit Alternative Selection 71 4.3 AHP-based Alternative Evaluation 73 4.4 Results Sensitive Analysis 77 4.5 Findings and Discussion 80 4.6 Summary 86 Chapter 5. Conclusion 87 5.1.Research Summary 88 5.2.Contributions 90 5.3.Research Further Studies 92 Bibliography 93 | - |
dc.format | application/pdf | - |
dc.format.extent | 2912249 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Flood impact | - |
dc.subject | risk level | - |
dc.subject | Spatial data | - |
dc.subject | GIS-based | - |
dc.subject | residential buildings | - |
dc.subject.ddc | 690 | - |
dc.title | Decision Support Framework Integrating Spatial Information for Building Flood Retrofit | - |
dc.title.alternative | 건축물 홍수대응 위한 공간정보 기반 의사결정 도구 개발 연구 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | 멜리사 | - |
dc.description.degree | Master | - |
dc.citation.pages | 100 | - |
dc.contributor.affiliation | 공과대학 건축학과 | - |
dc.date.awarded | 2017-02 | - |
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