Using Fuzzy Analytic Hierarchy Process multi-criteria and automatic computation to analyse coastal vulnerability

Tahri, Meryem; Maanan, Mohamed; Maanan, Mehdi; Hassan, Bouksim; Hakdaoui, Mustapha

doi:10.1177/0309133317695158

Cited by 33 publications

(19 citation statements)

References 65 publications

(73 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 7 shows that the overall coastal elevation and coastal geomorphology vulnerability on artificial coasts are lower than those on natural coasts. According to previous researches [25,64,86] on aspects of coastal geomorphology, artificial coasts are less vulnerable than natural coasts. The coastal erosion protection of the artificial coast also has advantages because a higher class of artificial coast defence corresponds to a higher coastal elevation, and higher elevation areas are not as easily affected by extreme events; however, overall, in the aspect of vulnerability of coastal characteristics, artificial coasts is higher than that of the natural coasts.…”

Section: Indexes Influencing the Class Of Coastal Vulnerability To Ermentioning

confidence: 99%

“…In recent years, coastal vulnerability assessments have received widespread attention [17,18]. However, most previous studies have focused on sea level rise caused by climate change [11,[19][20][21] and vulnerability assessments associated with storms [22,23], and fewer assessments have focused on the coastal vulnerability to erosion [17,24,25]. For example, most previous studies have ignored the important influence of artificial coasts on the coastal vulnerability to erosion.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast

et al. 2018

View full text Add to dashboard Cite

The assessment of coastal vulnerability to erosion is urgently needed due to increasing coastal erosion globally. Based on the coastal characteristics of the Xiamen artificial coastline, which accounts for more than 80% of the coastline in this area, this study provides an integrated approach based on a multi-criteria index. The evaluation index system of the local coastal vulnerability to the erosion of Xiamen includes 12 indexes based on natural (coastal characteristics, coastal forcing), and socio-economic factors (coastal infrastructure, disaster reduction). The spatial differentiation characteristics of the coastal vulnerability to erosion along the Xiamen coast (2018) have been quantitatively assessed with the aid of GIS (Geographic Information System) and RS (Remote Sensing) technology. The results show that the very high vulnerability, high vulnerability, medium vulnerability, low vulnerability and very low vulnerability areas of coastal erosion accounted for 4.6%, 30.5%, 51.6%, 12.5% and 0.8% of the Xiamen coast, respectively. The coastal vulnerability to erosion classes of artificial coasts is significantly higher than those of natural coasts. This difference is mainly controlled by the coastal slope and coastal buffer ability. The results of the evaluation are basically consistent with the present situation. The rationality of the index system and the applicability of the theoretical method are well explained. The evaluation model constructed in this study can be extended to other areas with high ratios of artificial coasts.

show abstract

Section: Indexes Influencing the Class Of Coastal Vulnerability To Ermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The FAHP is a method that combines fuzzy mathematical theory with the analytic hierarchy process (AHP). To obtain the weight of each index more accurately, fuzzy mathematics was introduced to construct the fuzzy consistent judgment matrix through the comparison of two elements, thereby avoiding the difficulty in adjusting the consistency of the comparison judgment matrix in AHP [46][47][48].…”

Section: Generation Of Judgment Matrixmentioning

confidence: 99%

Use of Fuzzy Analytic Hierarchy Process and Environmental Gini Coefficient for Allocation of Regional Flood Drainage Rights

Zhang

Shen

Liu

et al. 2020

IJERPH

View full text Add to dashboard Cite

To solve the flood drainage conflict among different regions of the water basin when the flood occurs, it is of great significance to study the allocation of flood drainage rights. The allocation of flood drainage rights requires flood management departments to consider the influences of socioeconomic differences among different regions on flood control operations to realize sustainable development. Under the pattern of the total amount allocation of “watershed–administrative regions”, the evaluation index system of flood drainage rights allocation incorporated four aspects: natural conditions, level of social development, level of economic development, and technology and management. The fuzzy analytic hierarchy process (FAHP) was used to calculate the weight coefficient of each allocation index and the initial distribution’s proportion of the total amount in each region. Land area, population, gross domestic product (GDP), and sewage treatment capacity were selected as the evaluation indexes of the environmental Gini coefficient, and the environmental Gini coefficient method was used to evaluate and adjust the initial allocation of each region. Taking the allocation of flood drainage rights in the Taihu Basin as a case study, the final allocation results were obtained after initial allocation and feedback optimization. By evaluating the environmental Gini coefficient of each evaluation index, it is concluded that the final allocation could meet the requirements of fair allocation in each administrative region and be effectively implemented. Optimal allocation of the flood drainage rights in the Taihu Basin can contribute to overall flood control management, the reduction of flood disasters, and the stable development of society in the basin.

show abstract

“…By identifying the eigenvector and using its maximum value (λ max ), the consistency index and the consistency ratio can be determined using Equations (19) and (20).…”

Section: Width Of Pathwaysmentioning

confidence: 99%

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

et al. 2017

View full text Add to dashboard Cite

Abstract:Most of the world's population is concentrated in accumulated spaces in the form of cities, making the concept of urban planning a significant issue for consideration by decision makers. Urban vulnerability is a major issue which arises in urban management, and is simply defined as how vulnerable various structures in a city are to different hazards. Reducing urban vulnerability and enhancing resilience are considered to be essential steps towards achieving urban sustainability. To date, a vast body of literature has focused on investigating urban systems' vulnerabilities with regard to natural hazards. However, less attention has been paid to vulnerabilities resulting from man-made hazards. This study proposes to investigate the physical vulnerability of buildings in District 6 of Tehran, Iran, with respect to intentional explosion hazards. A total of 14 vulnerability criteria are identified according to the opinions of various experts, and standard maps for each of these criteria have been generated in a GIS environment. Ultimately, an ordered weighted averaging (OWA) technique was applied to generate vulnerability maps for different risk conditions. The results of the present study indicate that only about 25 percent of buildings in the study area have a low level of vulnerability under moderate risk conditions. Sensitivity analysis further illustrates the robustness of the results obtained. Finally, the paper concludes by arguing that local authorities must focus more on risk-reduction techniques in order to reduce physical vulnerability and achieve urban sustainability.

show abstract

Using Fuzzy Analytic Hierarchy Process multi-criteria and automatic computation to analyse coastal vulnerability

Cited by 33 publications

References 65 publications

Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast

Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast

Use of Fuzzy Analytic Hierarchy Process and Environmental Gini Coefficient for Allocation of Regional Flood Drainage Rights

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

Contact Info

Product

Resources

About