Analytic Hierarchy Process Technique Research Articles

도심형 복합상업시설 소비자 집객에 영향을 미치는 요인에 관한 연구

As the competition among existing commercial facilities intensified, the number of complex commercial facilities around the Seoul metropolitan area increased rapidly in 2010. Moreover, the increase in shopping content, such as global SPA, category killers, and lifestyle editing stores, accelerated the opening of complex commercial facilities. The continued expansion of the online market and the recent prolonged COVID-19 pandemic have made it difficult for commercial real estate to survive while changing consumption patterns and trends. Therefore, this study attempted to present implications for developing urban commercial facilities by analyzing consumer attraction factors and preferences for detailed categories using the AHP (analytic hierarchy process) technique for urban complex commercial facilities near Hongik University Station, where the MZ generation is the main consumer. The results show that “transportation convenience” expected in previous studies, “food facilities” reflecting recent consumption patterns and behaviors, and “frequency of exposure to SNS” were important factors affecting consumer audiences. Therefore, in the future, development and operation strategies should be formulated to ensure that offline-only discriminatory factors and new communication with customers have complementary synergy effects along with existing important attraction factors.

Modeling and Assessment of Land Degradation Vulnerability in Arid Ecosystem of Rajasthan Using Analytical Hierarchy Process and Geospatial Techniques

Wind erosion is a major natural disaster worldwide, and it is a key problem in western Rajasthan in India. The Analytical Hierarchy Process (AHP), the Geographic Information System (GIS), and remote sensing satellite images are effective tools for modeling and risk assessment of land degradation. The present study aimed to assess and model the land degradation vulnerable (LDV) zones based on the AHP and geospatial techniques in the Luni River basin in Rajasthan, India. This study was carried out by examining important thematic layers, such as vegetation parameters (normalized difference vegetation index and land use/land cover), a terrain parameter (slope), climatic parameters (mean annual rainfall and land surface temperature), and soil parameters (soil organic carbon, soil erosion, soil texture, and soil depth), using the Analytical Hierarchical Process (AHP) and geospatial techniques in the Luni River basin in Rajasthan, India. The weights derived for the thematic layers using AHP were as follows: NDVI (0.27) > MAR (0.22) > LST (0.15) > soil erosion (0.12) > slope (0.08) > LULC (0.06) > SOC (0.04) > soil texture (0.03) > soil depth (0.02). The result indicates that nearly 21.4 % of the total area is prone to very high degradation risks; 12.3% is prone to high risks; and 16%, 24.3%, and 26% are prone to moderate, low, and very low risks, respectively. The validation of LDV was carried out using high-resolution Google Earth images and field photographs. Additionally, the Receiver Operating Characteristic (ROC) curve found an area under the curve (AUC) value of 82%, approving the prediction accuracy of the AHP technique in the study area. This study contributes by providing a better understanding of land degradation neutrality and sustainable soil and water management practices in the river basin.

A Novel CSAHP Approach to Assess the Priority of Maintenance Work Outsourced by a Metro Company

To lower maintenance costs and improve a metro company’s competitiveness, this research came up with an innovative technique using a considering sensitivity and analytic hierarchy process (CSAHP). Along with interviews with managers and workers at the Taipei Rapid Transit Corporation, this study was able to undertake quantitative analysis. To determine which subsystems and metro lines should be prioritized for outsourcing based on the CSAHP framework, we used the criterium decision plus (CDP) program. This research adds to the existing body of knowledge by advancing the existing analytic hierarchy process (AHP) technique and recommending the CSAHP strategy for assessment. According to the findings, the power supply system was the most in need of outsourcing, followed by air conditioning, firefighting, and elevator systems. When considering which of the four metro lines to outsource first, the blue line came out on top, followed by the red, green, and brown lines. By prioritizing the outsourcing of the power supply system as a result of this research, the Taipei Rapid Transit Corporation may cut the system’s maintenance expenditures from USD 1.57 million to USD 1.33 million, saving 15% on maintenance costs. Applying these findings can improve the economic benefits of outsourced maintenance for the Taipei Rapid Transit Corporation.

Failure mode and effects analysis of common effluent treatment plants of humid sub-tropical regions using fuzzy based MCDM methods

Common effluent treatment plants (CETPs) are used to collectively treat the effluents generated from different types of manufacturing industries of an industrial cluster before discharge so as to prevent the environment from the harmful effects of the effluents. There are several failure modes (FMs) that may lead to the failure of the CETP which may result in discontinuation of its operation. Thus, it is imperative to identify and estimate the criticality of the various FMs using failure mode and effects analysis (FMEA) in order to minimize the risk of failure of the CETP. This study identifies 24 potential FMs of the CETP, installed in humid subtropical regions, with the help of consensus among 5 experts who are the managers of CETPs installed at five different industrial regions of Delhi, the capital town of India. Subsequently, it applies a combined fuzzy based multi criteria decision making (MCDM) methods i.e. fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to derive rank of FMs. FAHP is applied to calculate the weights of three risk factors (RFs) i.e. occurrence (O) which refers to the chance of a failure cause occurring; severity (S) which measures the extent of effect of a failure cause on the system and the detection (D) which represents the chance of detecting the failure cause before the failure actually occurs. Then FTOPSIS is employed to determine rank of the FMs which signifies their criticality. The data required to implement FAHP and FTOPSIS are gathered from the experts in linguistic terms which are subsequently converted into equivalent triangular fuzzy numbers. Finally, sensitivity analysis is carried to ensure robustness of the ranking results produced by the combined FAHP and FTOPSIS method.

Decision Analysis to Find the Best Solution to Overcome Instrumentation Problems by Using Analytic Hierarchy Process and SMART Method

The Laksmana offshore area is one of the oil field areas under Sumatera field. Laksmana offshore area produces 750 BOPD (Barrel Oil per Day). Instrumentation plays a vital role in the production process since it controls the Fluid Flow, level, and pressure. Based on the data collected from January 7th, 2020, to December 6th, 2020, there were 13 unplanned shutdowns caused by instrumentation system failures. This instrumentation systems failure can be grouped into three major categories: Air compressor failure, Instrumentation valve problems, and Instrument equipment malfunctions. Researchers attempted to stratify the problem using a Pareto diagram and find the root cause using a fishbone diagram and Failure Mode Effect Analysis. From the stratifying process, it was found that the company does not yet have any methods and facilities to monitor the condition of the compressor in real-time, so it is difficult to analyze and know the early signs of air compressor failure. The researcher conducted value-focused thinking with three members in a focus group discussion and generated four alternative solutions that can be used. The first alternative is installing the HMI (Human Machine Interface/SCADA) system. The second alternative is to purchase and use the S551 Data Logger. The third alternative is the assembly of own innovation tools made by the Laksmana’s worker, and the last is to appoint extra personnel for daily monitoring of the compressor. This research uses the Analytic Hierarchy Process (AHP) and Simple Multi-Attribute Rating Technique (SMART) methods to determine the best alternative and found that the own innovation tool is the best alternative.

An efficient composite cloud service model using multi-criteria decision-making techniques

Recent advancements in information technology have made cloud computing one of the most prominent technologies. It is most favorable for the bundle of services that it provides to its users. Since there is a wide range of cloud service providers (CSPs) with various services, it is challenging for the user to select a CSP that can meet all of its requirements. In this paper, we propose a composite cloud service model, which is handled by a cloud agent, to identify the best cloud services/criteria from a set of CSPs by considering the objective and subjective opinions collected from the cloud users’ feedback and reviews. Note that the cloud agent is an intermediary between the users and CSPs. Then the agent recommends the CSPs to assemble the identified services into a unified group of services to fulfil the user requirements. Our model calculates the integrated objective and subjective scores of alternatives for a set of criteria and determines the best alternative for each criterion. For this, the application of two multi-criteria decision-making techniques, namely method based on the removal effect of criteria and extended step-wise weight assessment ratio analysis (extended SWARA), is used to calculate the objective and subjective scores, respectively. The proposed model is compared with the analytic hierarchy process-technique for order of preference by similarity to ideal solution, TOPSIS-VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR), and SWARA-VIKOR to show its effectiveness.

Health and Safety Improvement through Industrial Revolution 4.0: Malaysian Construction Industry Case

Safety on construction sites is now a top priority for the construction industry all around the world. Construction labor is often seen as hazardous, putting employees at risk of serious accidents and diseases. The use of Industrial Revolution (IR) 4.0 advanced technologies such as robotics and automation, building information modelling (BIM), augmented reality and virtualization, and wireless monitoring and sensors are seen to be an effective way to improve the health and safety of construction workers at the job site, as well as to ensure construction safety management in general. The main aim of this research was to analyze the IR-4.0-related technologies for improving the health and safety problems in the construction industry of Malaysia by utilizing the analytical hierarchy process (AHP) technique. IR-4.0-related technologies show great potential in addressing the construction industry’s existing health and safety problems from the perspective of civil engineering practitioners and industry experts. This research adopted the analytical hierarchy process (AHP) for quantitative analysis of data collected through the survey questionnaire approach. The findings of the study indicate that from matrix multiplication, the highest importance among the criteria and the alternatives was for BIM with a score of 0.3855, followed by wireless monitoring and sensors (0.3509). This research suggests that building information modelling (BIM) and integrated systems had the greatest potential as advanced technology and should be prioritized when it comes to introducing it to the construction industry to improve the current health and safety performances.

Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India

Groundwater resources are alarmingly depleting due to over-exploitation and significant climate changes over time. Therefore, demarcation of groundwater potential zones is essential for addressing the needs of various industries in semi-arid area. Depleting groundwater resources, topography, aquifer features and climatic factors make it necessary to demarcate ground water potential zones in semiarid region of Rajasthan. The Analytical Hierarchy Process (AHP), Geographic Information System (GIS), and Multi Influence Factor (MIF) were used to determine the groundwater potential zones (GWPZs) in the semi-arid region of Jaipur, located in western Rajasthan. In present study, ten influential factors were employed i.e., geomorphology, land use/land cover (LULC), drainage density, rainfall, topographic wetness index (TWI), soil texture, slope, roughness, topographic position index (TPI) and curvature. In AHP technique, the pairwise comparison matrix was generated, and weightages were given to each thematic layer while for MIF, a proposed score for each layer was computed from the aggregate weight of major and minor effects. The GWPZ map generated by AHP technique was categorised into three parts: high, moderate and poor potential zones, covering 13%, 50.7% and 36.3% of the district. While, the GWPZ map produced with the MIF technique was also divided into the same poor, moderate, and high categories, encompassing 35.3, 44.1, and 20.6% of the district, respectively. The results of AHP and MIF techniques were then cross-validated with well depth data obtained from CGWB report, 2019–20. The receiver operating characteristics (ROC) were plotted and the findings shows that the Area under the Curve (AUC) was 79% and 76% for AHP and MIF, respectively which is considered as moderate to high in predictive precision. The study would be helpful in locating drilling sites for groundwater exploration and developing sustainable groundwater and land use policies.

Delineation of groundwater potential zones at micro-spatial units of Nagaon district in Assam, India, using GIS-based MCDA and AHP techniques.

Groundwater is one of the most precious naturalresources in the densely populated regions of the world. The ever increasing population in the developing countries like India and the concurrent growth of industrial and urban centres along with modern agricultural systems have caused tremendous pressure on groundwater. In the present day context of groundwater depletion and degradation, it is necessary to identify and map the groundwater potential zones (GWPZs) of an area to manage and utilize them sustainably. The present study is, therefore, an attempt to employ the GIS-based multi-criteria decision analysis (MCDA) and analytical hierarchy process (AHP) techniques to derive the GWPZs in Nagaon district of the middle Brahmaputra valley agro-climatic region of Assam, India. Here, ten multi-influencing groundwater potential factors, including geology, lineament density, geomorphology, slope, soil texture, LULC, rainfall, drainage density, NDWI, and TWI are considered for the delineation ofGWPZs. These criteria are assigned weightages using AHP wherein geology has been given the highest weight, followed by lineament density and the others. Based on these techniques, the GWPZs of the district are classified into four zones, namely, low, moderate, high, and very high which include 20, 301, 218, and 392 villages, respectively. The results are validated with the groundwater levels of 28 tube wells and 5 ring wells distributed throughout the district, and as such, an area under the curve value of 86.9% is found. The results, thus, validated imply that the methodology adopted in deriving the GWPZs is highly reliable, which can help in sustainable utilization, development, and management of groundwater resources in the district. Besides, the identification and mapping of village-wise GWPZs are very essential for the planning of water resource management and water risks mitigation which ultimately help insustainable rural development.

SOFTWARE PROCESS ASSESSMENT AND CERTIFICATION: APPLICATION OF THE ANALYTIC HIERARCHY PROCESS FOR PRIORITY DETERMINATION

Software certification involves assessing and certifying the quality of the software process based on multiple evaluation criteria where each criterion has different importance values on the quality of the software. However, the different importance values of the evaluation criteria have not been addressed in the existing software process certification models. A systematic technique is needed to ensure that the certification results are consistent, accurate and not made arbitrarily. To address this issue, the Extended Software Process Certification (ESPAC) model was introduced by adopting the Analytic Hierarchy Process (AHP) technique to determine the priorities of the evaluation criteria. There were three main phases in this study: (a) theoretical study, (b) expert review and (c) focus group discussion. Ultimately, a mutual agreement was achieved about the evaluation criteria and the AHP was shown to be a suitable technique to be employed in software process assessment and certification. Furthermore, the acquired priorities were used as the ideal priorities for the ESPAC model, which can be used by assessors during the assessment and certification process. The outcome of this study benefits researchers in the AHP and software process assessment fields.

Rural Tourism Development in Jembayan Tengah Village East Kalimantan-Indonesia

Rural areas have actually extremely varied perspectives, each the prospective of natural deposits, social sources of the neighborhood, in addition to innovative sources of the regional neighborhood. The variety of these sources could be industrialized as a country community-based tourist item to enhance the well-being of the community. For this reason, this research was actually carried out towards identity as well as evaluate the current prospective to become utilized as a community-based tourist town item in Jembayan Tengah East Kalimantan Indonesia. The method technique utilized within this particular research study is actually the Analytical Hierarchy Process (AHP) technique. This technique is actually utilized to analyze the concern range associated with elements of establishing traveler town beauty, community centers as well as tourist centers, tourist ease of access, as well as promo, in Jembayan Tengah East Kalimantan Indonesia. The outcomes revealed that the beauty element was actually one of the absolute most focused on elements along with the greatest rack up of 0.564 when compared with various other elements, specifically centers, promo elements, and ease of access. While the requirements that end up being the concern of advancement are actually the requirements for all-organic tourist destinations along with the greatest 0.495 when compared with various other requirements, specifically the requirements for transport centers, tourist centers, as well as promo utilizing digital media.

The Impact of Industrial Air Pollution on the Urban Environment of Setif

Setif is one of the urban agglomerations most exposed to the problem of air pollution, which mostly arises from the industrial zone located on its immediate outskirts, as is the case with a large number of Algerian cities. Due to its size and the nature of its activities, Setif is a significant source of industrial pollution. Numerous experts agree that the majority of present air pollution analysis techniques are limited to predicting the dispersion of pollutants. However, restricting oneself to these usually rigid aspects impedes the proper management of this sort of urban nuisance harming the city and its surroundings. Consequently, the aim of this study is to propose an approach for assessing the danger of air pollution that can be simply applied to any terrain. This technique includes three primary stages. Initially, ARIA Impact software is used to develop a model of the Total Suspended Particles (TSP). Using the Analytic Hierarchy Process technique, the many human, material, and environmental issues are then plotted on a map. The last step is to build synthesis maps by crossing the theme maps developed in the first two steps. Consequently, the anticipated outcome of this study is that the industrial zone of Setif will serve as the basis for a methodological exercise generated from a real-world situation. The examination of the current case study will illustrate the reliability of dispersion models in the evaluation of industrial pollution provided that certain essential aspects are recognized and handled effectively.

Analytical Hierarchy Process Algorithm for Define of Water Meter

Customers can be certain that the fees they are charged are proportional to the amount of running water used or spent by clean water consumers in some households as a result of the usage of a water meter. Neglected water meters can cause losses for both consumers and PDAM companies. The project’s goal was to analyze a water meter using artificial intelligence. While the purpose of the research is to discover the most prevalent causes of water meter degradation, the output of the research is to identify the most destructive variables. This study’s data came from observations and interviews with the Regional Water Company (PDAM) Tirtauli in Pematangsiantar. The Analytical Hierarchy Process (AHP) technique is used to create a decision support system. The following meter damage explanations have been discovered based on information acquired through interviews and fieldwork: Congestion Water Meter (KM-1), Escape Water Meter (KM-2), Deaf Water Meter (KM-3), Gedek Water Meter (KM-4), and Water Meter Broken (KM-5). The Gedek Water Meter (KM-4) has the greatest priority for water meter damage, according to the AHP approach, with a computed value of 0.3211. The study’s findings are expected to increase water meter degradation in the PDAM, perhaps leading to higher customer water bills.

코로나19 이후 서울시 MICE산업 중장기발전을 위한 정책 우선순위 결정 연구: AHP 기법을 중심으로Myunghee

This study investigates effective policy decision-making criteria and important agendas and priorities for mid-and long-term perspectives of Seoul’s local government, as a global MICE city. The research was conducted using expert group interviews and analytic hierarchy process techniques. The results showed the four policy tasks: 1) expanding global public-private-industry cooperation, 2) developing the convergence MICE platform, 3) building a sustainable and inclusive growth ecosystem in the MICE industry, and 4) building the foundation for future growth in a smart MICE city were identified as the crucial policy tasks. Additionally, the differences in priorities of the policy tasks between the governor group and the expert group were not statistically significant. From the findings, significant implications for policymakers and practitioners were discussed in this paper.

Prioritization strategy of horticulture for agriculture development in north Toraja regency

Horticulture is currently a prima donna commodity that has very good prospects, considering the paradigm shift in food consumption towards the consumption of nutritious, cheap, and affordable food and easy to grow (maintain). The type of horticulture plant is one type of food crop that is classified as a staple food need such as; vegetables and fruits. This plant is commonly found in the North Toraja Regency, such as; in hot peppers, onions, and potatoes. North Toraja Regency is one of the areas that have the potential to develop horticulture agriculture. The purpose of this study is to determine the priority of the horticulture agriculture development strategy in North Toraja Regency. The research method used is a quantitative method with a type of survey research. The study was conducted in North Toraja Regency, South Sulawesi Province, from July to September 2022. The types of data collected include secondary data in the form of research results and formulations of national and regional agricultural policies, as well as primary data in the form of opinions of stakeholders related to horticulture agricultural development strategies in North Toraja Regency. The data analysis method is carried out with the AHP (Analytical Hierarchy Process) technique. The results of the study obtained that the main strategy in the development of horticulture agriculture in North Toraja Regency is a strategy of improving technology and business funding assistance.

Development of an optimized maintenance scheduling for emergency rescue railway wagons using a genetic algorithm: a case study of Iran railways company

PurposeThis paper aims to optimize the maintenance scheduling of emergency rescue wagons in railway companies using a genetic algorithm (GA). It offers an integrated model for simultaneously solving maintenance planning, preventive maintenance, prognostic information and resource planning from which optimal levels of the system performance in terms of cost and repair time could be determined.Design/methodology/approachThis study initially evaluates the previous types of research in presenting the optimal model of the rescue train wagon for maintenance and repair planning and lists the identified criteria based on experts' opinions using fuzzy analytic hierarchy process (FAHP) and stepwise weight assessment ratio analysis (SWARA) techniques. Then, the final weight of the desired criteria is calculated. Later, the final decision matrix is evaluated by the experts. The final normal decision matrix is formed to select the optimal maintenance and repair planning plan based on the GA. Finally, two strategies including joint optimization strategy of preventive maintenance planning are compared with the independent preventive maintenance planning strategy.FindingsAccording to the primary results, three primary parameters, including technology, human damage caused by negligence and the average failure rate, should be considered for launching the GA model. Based on the results of the second part; by comparing the preventive maintenance planning strategy independently, the joint optimization strategy reduces the total cost of production up to 8.25%. Comparison results show that the total cost of joint optimization production is less than independent preventive maintenance and repair planning. Moreover, the value of total process time in joint optimization strategy was reduced by 1.2% compared to independent preventive maintenance (PM) planning (from 137.90 to 136.20 h).Originality/valueThe novelty of this paper lies on the application of the GAs to develop an optimized PM scheduling to localize the maintenance planning for maximizing productivity, avoid train accidents, reduce costs and increase efficiency and capacity.

Exploration of groundwater potential zones mapping for hard rock region in the Jakham river basin using geospatial techniques and aquifer parameters

Geospatial techniques are useful to understand the groundwater resources assessment, development, and management. Groundwater mapping is essential to counter the excessive withdrawal of groundwater and fulfil the need of drinking, irrigation water in hard rock areas. Currently, the main problem is facing the groundwater level is decreasing due to less rainfall, climate changes and increasing demand, which is under in the hot zones. This results can be more useful for future challenges, sustainable development and demand to Jakham river basin. The main objective of this paper to demarcated the groundwater potential zones (GWPZ) using geospatial techniques for the hard rock region with the reference of aquifer parameters. In this paper, we have used to total eight thematic layers such as geomorphology, land use, soil, topographic elevation, slope, post-monsoon groundwater level (GWL), net recharge, and transmissivity, which are prepared from satellite data and field verification. All thematic layers were integrated for assigning the weights to demarcation of the groundwater potential zones in the RS and GIS environment. The selected thematic layers and features were assigned weightage and normalized by the analytic hierarchy process (AHP) technique. Finally, the thematic layers were systematically integrated using weighted overlay analysis within a GIS environment. We have classified into five GWPZ classes i.e. very high, high, moderate, low, and very low for basin area using GIS, and AHP methods. The study area result indicated that high and moderate zone, which is confined in the central part of the basin, covers 2.43 % and 43.88 % area, respectively. The low (49.21 %) and very low (4.25%) GW potential zone is under the confined aquifer in the high slope and rock outcrops formations near the basin boundary. The final GWPZ map was validated with groundwater level fluctuation data, which illustrates the accuracy of the adopted approach. This unique approach and conclusions of this work may also help to develop the framework and policies for swiftly analyzing groundwater recharge planning, development and locating the artificial recharge structures in the other semi-arid, arid and hard rock regions.

GIS-Based Cluster and Suitability Analysis of Crop Residues: A Case Study in Yangon Region, Myanmar

In the study of biomass assessment, geospatial modeling-based analysis becomes crucial for the sustainable management of agriculture. Currently, there is no integrated sustainability assessment of the geographic information system (GIS) cluster or suitability analysis for the feedstock of crop residues. In order to fill this research gap and support the strategy of bioenergy formulation with the circular economy concept in agriculture residues in Myanmar, this study aims to assess the energy generation potential and site locations of treatment facilities for crop residue, utilizing the integrated assessment of GIS cluster and suitability modeling. The cluster analysis identifies the rice straw as the highest feedstock of crop residues and township-based high/low clusters. In addition, the electricity generation potential is estimated at 279.14 MW for different clusters of rice straw. Moreover, the suitability analysis in the study uses the conceptual model of variables for constraints and factors with the analytical hierarchy process (AHP) technique to evaluate the weights. The suitability analysis found high suitability areas of 14,603 hectares for treatment facilities within the high/low cluster of feedstock for rice straw. The multicriteria and GIS integrated assessment model adopted in this research can support the decision-makers in developing spatial-based strategic planning for bioenergy promotion which will support sustainable farming practices in Myanmar. Additionally, the proposed model is adaptable in study areas with similar feedstock.

Identification of groundwater potential sites in the drought-prone area using geospatial techniques at Fafen-Jerer sub-basin, Ethiopia

ABSTRACT Analyzing the groundwater potential zone is a fundamental first step in investigating groundwater resources in arid and semi-arid regions. This study examined the groundwater potential zone of the Fafen-Jerer sub-basin by applying geographic information system (GIS) and remote sensing (RS). The study used ten influencing factors, including geology, geomorphology, slope, soil, lineament density, drainage density, land use, land cover, topographic wetness index, topographic roughness index, and rainfall, to identify potential sites. Based on their effect on groundwater recharge, the sub-class of each influencing factor was identified and evaluated. The weights were determined using the multi-criteria decision-making method’s analytical hierarchy process technique. At the conclusion of the investigation, the region was divided into four potential zones: low, moderate, high, and extremely high. The study region comprises 84% moderate potential zones, 14% high groundwater potential zones, and 2% low and extremely high potential zones. area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to evaluate the groundwater potential zone, and the findings show extremely good performance (AUC = 0.87). The study provides recommendations for stakeholders and water management professionals to develop a strategy for water resource management based on the conjunctive use of surface and groundwater.

Analyzing the multi-hazard coastal vulnerability of Matla–Bidya inter-estuarine area of Indian Sundarbans using analytical hierarchy process and geospatial techniques

In the current global climate change era, the Indian Sundarbans Delta (ISD) is severely exposed to multiple environmental disasters especially high-intensity tropical cyclones, storm surges and flood inundation. These disasters threaten the lives and livelihoods of coastal communities. To formulate a disaster risk reduction strategy, it is necessary to identify priority areas based on their level of vulnerability. Therefore, this research aims to assess the multi-hazard coastal vulnerability of the Matla–Bidya Inter-estuarine (MBI) area of ISD considering exposure, sensitivity, and adaptability. The coastal vulnerability was derived in this study based on a total of 26 indicators using the analytical hierarchy process (AHP) in combination with remote sensing data and geospatial techniques. To better understand the impacts of recent natural disasters, a field survey was conducted in each village from 2020 to 2021 to collect information directly from households regarding the effects of recent disasters on the different aspects of livelihoods. The present study found that the coastal villages in the Basanti and Gosaba Blocks located within the southern MBI are the most vulnerable due to coastal proximity, tropical cyclones, storm surges and flooding incidents. The high exposure and sensitivity cause potential effects on coastal environments and a lack of resistance to environmental disasters, leading to a considerable increase in coastal vulnerability. Local people's livelihoods are at risk in almost 33% of MBI villages. In contrast, villages in the northern MBI, in the Canning II Block are less susceptible to the effects of extreme events due to better resilience. This village-level multi-hazard vulnerability study helps to identify priority areas considering the vulnerability level of each village and accordingly proposed effective strategic planning for environmental and socio-economic resilience.