GIS-based multi-criteria analysis to identify site suitability of flood shelters in Kuantan, Malaysia

Mabahwi, Nurul Ashikin Binti; Bhattacharya, Yasmin; Nakamura, Hitoshi

doi:10.1088/1755-1315/799/1/012027

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…The importance of this analysis is to identify a suitable location by avoiding existing conflicts. There are various applications related to site suitability analysis, such as flood shelter mitigation [15], agricultural management [16], landfill management [17], and coastal management and planning [18]. The selection of a suitable site for ocean renewable energy requires an understanding of the spatial distribution of the marine environment, human activities, and physical criteria in the marine space.…”

Section: Methodsmentioning

confidence: 99%

Utilization of Multi-Mission Satellite Altimetry for Wave Energy with Site Suitability Analysis using the Analytic Hierarchy Process

Uti,

Md Din,

Yusof

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Space technology advancements have enabled the acquisition of marine data that support the research on wave energy as an alternative to reduce fossil fuel dependency and mitigate climate change. Malaysia's ocean renewable energy potential lacks attention from local authorities due to insufficient in-situ data, posing challenges in investigating ocean characteristics, such as wave heights. This study investigated Malaysia's wave energy potential using extensive significant wave height data from multiple altimetry missions. The former assessed site suitability using the Analytical Hierarchy Process (AHP) multicriteria analysis, incorporating marine constraints, namely socioeconomic, physical, and environmental factors. The multicriteria findings were integrated into a Geographical Information System (GIS) to improve the site suitability analysis and generate a localized suitability index for wave energy. Validation of satellite altimeter data with in-situ measurements showed a strong correlation and low RMSE. AHP analysis indicated good consistency in the criteria analysis, with a consistency ratio of 0.045, which falls below the limit of 0.1. The coastal and offshore regions of the Malaysian seas are suitable for harnessing wave energy with energy ranges up to 4.21 kW/m. Therefore, this study provides valuable information to stakeholders and the government to increase their interest in wave energy.

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Section: Methodsmentioning

confidence: 99%

Utilization of Multi-Mission Satellite Altimetry for Wave Energy with Site Suitability Analysis using the Analytic Hierarchy Process

Uti,

Md Din,

Yusof

et al. 2024

Eng. Technol. Appl. Sci. Res.

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“…The study also utilized the WOA method, a prominent approach in GIS-based research for resilience assessment. This method offers a flexible framework that integrates both qualitative and quantitative factors (Mabahwi et al, 2021). WOA entails overlaying maps with various criteria and applying respective weights to generate a final assessment, pinpointing optimal solutions.…”

Section: Data Processing and Analysismentioning

confidence: 99%

Measuring and improving public space resilience to the COVID-19 pandemic: Chongqing-China as a case study

Alawi,

Chu,

Rui

2024

Front. Sustain. Cities

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The COVID-19 pandemic emphasized the importance of public spaces. Accessing public spaces during the pandemic improves physical health, reduces feelings of loneliness, and lessens depression. However, not all public spaces can provide an effective response during the pandemic. The public spaces’ ability to respond to the pandemic varies depending on their resilience level, which refers to the capability of those spaces to adapt to the challenges posed by the COVID-19 pandemic and maintain functionality to meet users’ needs during this crisis. By investigating the response of existing public spaces to the COVID-19 pandemic and identifying and examining the criteria of pandemic resilience, this study aims to explore and improve public spaces’ capability to respond effectively during the pandemic. One hundred and sixty nine public spaces in three regions in Chongqing City in China are studied. Four main criteria involving 9 sub-criteria of pandemic resilience that can be integrated into public spaces’ planning and design are studied. Three questionnaire surveys are used in this study to examine how public spaces adapt to the pandemic and evaluate the pandemic resilience criteria. The questionnaire data is analyzed using the Statistical Package for Social Sciences (SPSS) software. The pandemic resilience criteria are assessed and analyzed using a Geographic Information System (GIS). The study utilized the analytic hierarchy process (AHP) to assign weights to the criteria of pandemic resilience. Weighted overlay analysis (WOA) is applied to assess the pandemic resilience level in public spaces. Results indicate various possibilities for pandemic resilience depending on the characteristics of the area. However, these resilience levels are inadequate to respond effectively to the pandemic, resulting in diminished utilization of public spaces during the COVID-19 pandemic across all studied regions compared to the periods preceding the pandemic and after the complete reopening. This study presents a remarkable source for strengthening the resilience of cities against pandemic emergencies.

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“…Spatial Multi Criteria Analysis (SMCA) merupakan metode standarisasi dari berbagai jenis kriteria yang dikombinasikan dengan pembobotan dalam menghasilkan data baru berupa indeks kesesuaian lahan. Kesesuaian lahan dapat dikaji untuk kesesuaian dan daya dukung ekologi (Ebrahimi et al, 2019) dan kesesuaian suatu lahan dalam menampung banjir (Mabahwi et al, 2021). Analisis multi kriteria memiliki tujuan untuk membantu pengambilan keputusan terbaik dari beberapa alternatif pilihan terbaik misalnya untuk kebijakan dan strategi pengembangan wilayah, manajemen risiko, pemilihan lokasi, dan modeling (Malczewski, 1999;Colapinto et al, 2020).…”

Section: Pendahuluanunclassified

Aplikasi Metode Spatial Multi Criteria Analisysis untuk Pengembangan Kawasan Permukiman (Studi Kasus: Re-Evaluasi RTRW Provinsi Sulawesi Tenggara)

Aldiansyah

Wibowo

2022

JGEL

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Southeast Sulawesi is a province that has become one of the destinations for transmigration and urbanization due to its low population density and abundant natural resources. This area is supported by the existence of supporting sectors such as agriculture, service industry, animal husbandry, fisheries, tourism and culture. This potential can lead to an increase in population and have an impact on increasing the need for residential land. Land suitability analysis is very important and relevant as a basis for reference in regional development to anticipate impacts that will occur in the future. This study aims to analyze and evaluate the suitability of residential areas in Southeast Sulawesi Province based on the RTRW of Southeast Sulawesi Province and the Regional Regulation of Southeast Sulawesi Province No. 2 of 2014. The method used is Spatial Multi Criteria Analysis (SMCA) because it excels in location determination analysis and decision making. The results show that there are 373,598.3 hectares of land in Southeast Sulawesi that are suitable and can be developed for residential areas. The evaluation of the RTRW found deviations in the actualization of spatial planning, especially in the Protected and Cultivated Areas. Therefore, this study can be used as an initial reference in re-evaluating the RTRW of Southeast Sulawesi Province.

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GIS-based multi-criteria analysis to identify site suitability of flood shelters in Kuantan, Malaysia

Cited by 8 publications

References 33 publications

Utilization of Multi-Mission Satellite Altimetry for Wave Energy with Site Suitability Analysis using the Analytic Hierarchy Process

Utilization of Multi-Mission Satellite Altimetry for Wave Energy with Site Suitability Analysis using the Analytic Hierarchy Process

Measuring and improving public space resilience to the COVID-19 pandemic: Chongqing-China as a case study

Aplikasi Metode Spatial Multi Criteria Analisysis untuk Pengembangan Kawasan Permukiman (Studi Kasus: Re-Evaluasi RTRW Provinsi Sulawesi Tenggara)

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