Comparison of AHP and BWM methods based on ArcGIS for ecological suitability assessment of Panax notoginseng in Yunnan Province, China

Tan, Yuting; Wang, Xinle; Liu, Xiaogang; Zhang, Shuo; Li, Na; Liang, Jiaping; Xu, Dianguo; Yang, Qin

doi:10.1016/j.indcrop.2023.116737

Cited by 6 publications

(3 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our research findings reveal significant similarities in the calculated criteria weights between the AHP and BWM methods, with the weights nearly equal. In contrast, studies conducted by Ajrina et al [65], Sahraei et al [66], and Tan et al [67], did not observe such pronounced similarities. Both methods consistently assign notably higher weights to the first three criteria (distance from existing hospitals, distance from main roads, distance from green spaces) and considerably lower weights to the last three criteria (distance from petrol stations, distance from residential areas, and population density).…”

Section: Discussionmentioning

confidence: 76%

GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran

Zandi,

Pahlavani,

Bigdeli

et al. 2024

Sustainability

View full text Add to dashboard Cite

In developing countries, the interaction between rapid urban expansion and population growth brings forth a host of challenges, particularly concerning essential services like healthcare. While interest in site suitability analysis for identifying optimal hospital locations to ensure equitable and secure healthcare access is on the rise, the absence of a holistic study that encompasses social and environmental aspects in the assessment of hospital site suitability is evident. The objective of this research is to introduce a hybrid methodology that combines Geographic Information Systems (GIS) with Multi-Criteria Decision-Making (MCDM) weighting methods. This methodology aims to create hospital site suitability maps for districts 21 and 22 in Tehran, taking into account socio-environmental factors. In addition to the conventional Analytical Hierarchical Process (AHP) weighting method, this study employs two relatively less-explored methods, the Best-Worst Method (BWM) and Step-wise Weight Assessment Ratio Analysis (SWARA), to enhance the analysis of hospital site suitability. In the SWARA method, there are minimal variations in weights among criteria, indicating that all socio-environmental factors (e.g., distance from existing hospitals, distance from main roads, distance from green spaces) hold significant importance in the decision-making process. Additionally, the findings indicate that the western part of the study area is the most suitable location for the construction of a new hospital. To achieve the average hospital bed availability in Tehran, an additional 2206 beds are required in the studied area, in addition to the existing facilities. Considering the ongoing urban development, population growth, and the potential for natural disasters and epidemics, it becomes essential to enhance the healthcare system by increasing the number of hospitals and available hospital beds. The sensitivity analysis showed that GIS-based SWARA-WLC was the most suitable and stable model for determining hospital site suitability in the study area. This methodology can be adapted for use in other regions and further improved by incorporating additional criteria. In conclusion, the study recommended three specific alternative sites for establishing a new hospital in the study area.

show abstract

Section: Discussionmentioning

confidence: 76%

GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran

Zandi,

Pahlavani,

Bigdeli

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Through pairwise comparisons, criteria are assessed in relation to each other to ascertain their relative importance. The consistency of these comparisons is checked to ensure reliability (Tan et al, 2023). Once consistency is established, weights are calculated for each criterion, representing their signi cance in the decision-making process.…”

Section: Ahp Methodsmentioning

confidence: 99%

Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach

Gandhi,

Songara,

Prakash

et al. 2024

Preprint

View full text Add to dashboard Cite

This study addresses the pressing need for assessing groundwater potential in diverse regions worldwide, emphasizing the challenges posed by industrialization and urban expansion. Leveraging remote sensing (RS) data within an ArcGIS framework, a comparison was conducted on the effectiveness of the Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) models in delineating groundwater potential zones. Ten influencing factors underwent rigorous multicollinearity checks to ensure independent analysis. Both methodologies categorized the output into five classification zones, revealing variations between methods. The sensitivity analysis identified specific influential layers for each method, showcasing heightened sensitivity in assessing groundwater potential zones. Notably, AHP emphasized factors such as NDWI, Lineament density, and Land Use Land Cover (LULC), while FOA prioritized Soil Texture, Lineament Density, and NDWI. Evaluating the reliability of groundwater potential assessments, AHP demonstrated fair agreement (59.18%), while FOA exhibited substantial agreement (77.5%). FOA emerged as superior, offering a more nuanced and precise representation of spatial relationships and uncertainties. The promising performance of FOA in our study suggests its potential applicability in accurate groundwater potential assessment beyond the study area (India) to other countries regions with heterogeneous hydrogeological conditions.

show abstract

“…The data regarding the indicator level were normalized, and the entropy weight method [35] was employed to calculate the weights of these indicators. Then, using the analytic hierarchy process (AHP) [36], the weights were further computed to obtain the weight vector U. The summary of the weights of the criterion layer and the indicator layer can be found in Table 2.…”

Section: Preliminary Formulation Of the Weights Of Indicatorsmentioning

confidence: 99%

Distribution Characteristics of Drought Resistance and Disaster Reduction Capability and the Identification of Key Factors—A Case Study of a Typical Area in the Yun–Gui Plateau, China

Liu,

Du,

Lei

et al. 2023

Sustainability

View full text Add to dashboard Cite

Karst areas are characterized by poor surface water storage capacity, which makes them more sensitive to drought events. To enhance drought resistance in karst landform areas, this study focuses on a typical region in the Yun–Gui Plateau of China, specifically Guizhou Province, which includes 88 counties and districts. According to the regional characteristics, the index system for the assessment of drought resistance and disaster reduction ability was constructed to include 17 indexes in five evaluation layers, including natural conditions, water conservancy project, economic strength, water usage and water conservation level, and emergency support capacity. A comprehensive evaluation was conducted using a fuzzy evaluation model. Furthermore, the drought resistance and disaster reduction capacity of Guizhou Province was evaluated according to the fulfillment of water supply and water demand under the frequency of 75%, 90%, 95%, 97%, and 99% drought frequency inflow in each research unit. This assessment serves to define the spatial distribution pattern of drought resistance and disaster reduction capability within the province. Additionally, according to the results of the supply–demand balance method, the weight of the main influencing factors in regards to drought resistance and disaster reduction ability was optimized and adjusted to identify the key restricting factors of drought resistance and disaster reduction ability. This research data was obtained from the National Disaster Survey database, aiming to provide practical guidance for drought resistance in Guizhou Province. The research findings show that: (1) the distribution characteristics of drought resistance and disaster reduction capability in Guizhou Province are the most significant in Guiyang City, Liupanshui City, and Anshun City in the southwest, with higher drought resistance and disaster reduction ability found in central region, and lower drought resistance primarily identified in the eastern part of Qiandongnan Prefecture, Tongren City, the southern part of Qiannan Prefecture, and the northwestern part of Bijie City; (2) there are six main influencing factors in the three criterion layers, i.e., hydraulic engineering, emergency drought resistance, and social economy, and their contribution rates are as follows: surface water supply and storage rate > average number of soil moisture monitoring stations > per capita GDP > agricultural emergency drought irrigation rate > regional water supply assurance rate > cultivated land effective irrigation rate.

show abstract

Comparison of AHP and BWM methods based on ArcGIS for ecological suitability assessment of Panax notoginseng in Yunnan Province, China

Cited by 6 publications

References 67 publications

GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran

GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran

Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach

Distribution Characteristics of Drought Resistance and Disaster Reduction Capability and the Identification of Key Factors—A Case Study of a Typical Area in the Yun–Gui Plateau, China

Contact Info

Product

Resources

About