Article
Engineering, Multidisciplinary
Sandeep Panchal, Amit Kr Shrivastava
Summary: This study utilizes the analytic hierarchy process (AHP) model to create a landslide hazard map along national highway 5, taking into account multiple factors such as slope, geology, and distance from the road. The results of the study, validated by landslide inventory and prediction accuracy analysis, can be used by construction planners and decision makers.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Leyla Derin Cengiz, Murat Ercanoglu
Summary: A new data-driven fuzzy AHP method (FR-AHP) is proposed for landslide susceptibility mapping. The method is compared with FEA and FGM methods in a region in Turkey, and the AUC values are calculated. The results show that the FR-AHP method has the potential to be a feasible, objective, and high-performance approach.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Jinxuan Zhou, Shucheng Tan, Jun Li, Jian Xu, Chao Wang, Hui Ye
Summary: China is actively promoting clean energy construction to achieve carbon neutrality. However, engineering constructions in mountainous regions are vulnerable to landslide disasters. Therefore, it is crucial to assess the susceptibility of landslide disasters for disaster prevention and risk management in construction projects. This study conducted a field survey at 42 landslide points in the selected planned site region and assessed landslide susceptibility based on 11 impact factors using AHP method. The resulting landslide susceptibility zone map showed high accuracy, with an AUC value of 0.845 according to the ROC curve analysis.
Article
Green & Sustainable Science & Technology
Dibyandu Roy, Anirban Dhar, Venkappayya R. Desai
Summary: Flash floods in northeastern India, particularly during the monsoon season, have become increasingly frequent in recent decades. These floods have caused significant damage and loss, including human suffering, infrastructure damage, ecosystem disruption, and economic losses. This study uses a model combining the grey fuzzy analytic hierarchy process and geographic information system to assess flash flood vulnerability in the Ranikhola watershed, East Sikkim, India. A new Flash Flood Vulnerability Index (FFVI) is proposed, taking into account twelve natural and anthropogenic parameters, and the FFVI map is classified into three vulnerable zones: low, moderate, and high. The sensitivity analysis reveals that land use/land cover has the greatest influence on high vulnerable zones.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Automation & Control Systems
Xiaofeng Chen, Yanting Fang, Junyi Chai, Zeshui Xu
Summary: This paper investigates the integration of intuitionistic fuzzy (IF) sets and Analytical Hierarchy Process (AHP) to maximize advantages. Quantitative differences between AHP weights and normalized defuzzified IF-AHP weights are illustrated, revealing qualitative and quantitative disparities between AHP and IF-AHP. The study identifies conditions and strategies for utilizing IF-AHP over AHP, with data experiments and case studies for validation.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Kibeom Kwon, Minkyu Kang, Dongku Kim, Hangseok Choi
Summary: Risk management is crucial for ensuring the safety and efficiency of tunnel construction. This study developed an advanced tunnel risk management model using the analytic hierarchy process and fuzzy set theory to prioritize hazardous zones and devise an optimal countermeasure plan. The model showed that significant tunnel convergence and excavation of unstable ground formations posed high risks. Adopting a shield tunnel boring machine or implementing ground reinforcement is recommended for these vulnerable locations. Overall, the developed model effectively prioritizes hazardous zones and contributes to the overall safety and efficiency of tunnel operations.
Article
Computer Science, Information Systems
Masanori Kohno, Yuki Higuchi
Summary: Although it is difficult to implement preventive measures in all areas prone to dangerous landslides, this study conducted landslide susceptibility mapping along the entire slope of the Japanese archipelago using the analytical hierarchy process (AHP) method. It also extracted slopes with similar hazard/risk levels to areas where landslides have occurred in the past, based on ancient landslide topography. The obtained landslide susceptibility map showed good correspondence with landslide distribution and past occurrences, indicating the effectiveness of the method for prioritizing and implementing preventative measures.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Computer Science, Information Systems
Sandeep Panchal, Amit K. Shrivastava
Summary: This study compared three models, frequency ratio, Shannon's entropy, and AHP, for landslide susceptibility mapping in Shimla district, India. The frequency ratio model showed the highest accuracy, followed by Shannon's entropy, and AHP had the lowest accuracy. The results can be used by engineers and planners for better landslide management in the study area.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Engineering, Multidisciplinary
Litesh Bopche, Priti P. Rege
Summary: This study focuses on the mapping of landslide inventory using a digital elevation model and an Analytic Hierarchy Process (AHP) technique, utilizing various parameters to develop Landslide Susceptible Maps and Landslide Hazards Zonation maps. The research demonstrates high prediction accuracy and highlights the importance of susceptibility maps in identifying troublesome areas for landslide hazards, risk assessment, and planning.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Engineering, Aerospace
Fikret Saygin, Yasemin Sisman, Orhan Dengiz, Aziz Sisman
Summary: This study developed a landslide susceptibility map in the high-risk region of Atakum district, Samsun province, Turkey. The map was created using topographic, geological, land use, and soil indicators weighted by the Fuzzy-Analytic Hierarchy Process (Fuzzy-AHP) approach, and integrated with the Geographic Information System (GIS). The predictability of the susceptibility map was also assessed using the decision tree algorithm CHAID. The results showed high accuracy for the 'very low' and 'low' susceptibility classes, but lower accuracy for the 'high' class.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Business
Ram Kumar Dhurkari
Summary: This article addresses three important questions: whether AHP criterion weights are range-sensitive, whether the weight determined by the decision maker matches the AHP-calculated weight, and if AHP's prescriptive power can be improved. Two studies were conducted and found that AHP criterion weights are not range-sensitive, and the weights determined by AHP and the decision maker are considerably similar. The prescriptive power of AHP can be enhanced by making the criterion weight range-sensitive.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
Sharaf AlKheder, Hajar Al Otaibi, Zahra Al Baghli, Shaikhah Al Ajmi, Mohammad Alkhedher
Summary: The construction of megaprojects is crucial for the development and economic growth of any country, especially in developing nations. However, megaprojects in Kuwait face restrictions that hinder their execution and lead to significant delays. This study aims to develop a complexity measurement model for megaprojects in Kuwait, focusing on the New Kuwait University campus as a case study. The study applies a hybrid fuzzy analytic hierarchy process (FAHP) method and compares it with the conventional AHP method. The findings reveal the complexity factors and their varying levels in different dimensions, emphasizing the importance of assessing and understanding these complexities for the successful completion of megaprojects.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Shaloo, Rishi Pal Singh, Himani Bisht, Rajni Jain, Truptimayee Suna, Ram Swaroop Bana, Samarth Godara, Yashbir Singh Shivay, Nirupma Singh, Jatin Bedi, Shbana Begam, Manisha Tamta, Shweta Gautam
Summary: This study used the Analytic Hierarchy Process (AHP) and geographic information system (GIS) technique to assess the suitability of cereal crops in Haryana state, India. The crop-suitability model was developed using ArcGIS 10.8, and multiple factors such as rainfall, temperature, soil texture, and pH were considered. The study found that the area is moderately fertile and agricultural production can be improved by cultivating crops in highly and moderately suitable zones.
Article
Computer Science, Artificial Intelligence
Mojtaba Ashour, Amir Mahdiyar
Summary: Analytic Hierarchy Process (AHP) is a widely applied technique in multi-criteria decision-making problems, but the sheer number of AHP methods presents challenges for scholars and practitioners in selecting the most suitable method. This paper reviews articles published between 2010 and 2023 proposing hybrid, improved, or modified AHP methods, classifies them based on their contributions, and provides a comprehensive summary table and roadmap to guide the method selection process.
APPLIED SOFT COMPUTING
(2024)
Article
Green & Sustainable Science & Technology
Kaiwan K. K. Fatah, Yaseen T. T. Mustafa, Imaddadin O. O. Hassan
Summary: Landslides in the Akre District of Kurdistan Region, Northern Iraq were analyzed using geoinformatics techniques. The study identified 15 criteria that contribute to landslide susceptibility, such as elevation, slope, and rainfall. By applying the frequency ratio (FR), analytic hierarchy process (AHP), and ensemble FR-AHP models, a landslide susceptibility map (LSM) was created. The results showed that a significant portion of the study area has a high and very high susceptibility to landslides. The hybrid FR-AHP model provided the most reliable and accurate results for LSM and can be utilized for land use planning in order to mitigate the impact of landslides.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Review
Engineering, Geological
Yanrong Li
ENGINEERING GEOLOGY
(2018)
Article
Engineering, Geological
Yanrong Li, Ping Mo, Adnan Aydin, Xinjun Zhang
GEOTECHNICAL TESTING JOURNAL
(2019)
Article
Geosciences, Multidisciplinary
Hong Ding, Yanrong Li, Yang Yang, Xin Jia
JOURNAL OF ASIAN EARTH SCIENCES
(2019)
Article
Geosciences, Multidisciplinary
Qiang Zheng, Yongbo Zhang, Yanrong Li, Zhixiang Zhang, Aijing Wu, Hong Shi
ARABIAN JOURNAL OF GEOSCIENCES
(2019)
Review
Geosciences, Multidisciplinary
Yanrong Li, Wenhui Shi, Adnan Aydin, Mary Antonette Beroya-Eitner, Guohong Gao
EARTH-SCIENCE REVIEWS
(2020)
Review
Geography, Physical
Yanrong Li, Ping Mo
Article
Engineering, Geological
Wenhui Shi, Yanrong Li, Weiwei Zhang, Jin Liu, Shengdi He, Ping Mo, Fanfan Guan
Article
Geosciences, Multidisciplinary
Yanrong Li, Ping Mo, Yongfeng Wang, Tao Zhang, Huawei Zhang
Article
Engineering, Geological
Yanrong Li, Fanfan Guan, He Su, Adnan Aydin, Mary Antonette Beroya-Eitner, Hauke Zachert
GEOTECHNICAL TESTING JOURNAL
(2020)
Article
Geosciences, Multidisciplinary
Yanrong Li, Shengdi He, Jianbing Peng, Qiang Xu, Adnan Aydin, Yongxin Xu
JOURNAL OF ASIAN EARTH SCIENCES
(2020)
Article
Geography, Physical
Weiwei Zhang, Nannan Fan, Yanrong Li, Shengdi He, Dingyi Guo
Summary: The Malan loess is a greyish yellow unstratified sediment that is sensitive to water due to its porous and metastable structure. Results from laboratory tests show that the Malan loess experiences primary and secondary disintegration stages, with the primary stage showing high correlation with dry density, clay mineral content, and CaCO3 content. Additionally, the pore structure of the soil influences the disintegration behavior, with evenly distributed small pores leading to gradual disintegration and large pipes leading to abrupt failure.
EARTH SURFACE PROCESSES AND LANDFORMS
(2022)
Article
Engineering, Geological
Shengdi He, Yanrong Li, Shuai Zhang
Summary: Loess landslides result in heavy casualties and economic losses. This study used acoustic emission monitoring and in situ computed tomography scans to investigate the mechanical behavior of Malan loess. The results showed that Malan loess failed under compression-induced tension in unconfined compression condition.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Engineering, Geological
Jianfeng Wu, Yanrong Li, Shuai Zhang, Joachim Chris Junior Oualembo Mountou
Summary: This study aims to develop a high-performance early identification model for loess landslides based on convolutional neural networks (CNNs). By comparing remote sensing images and analyzing data, it is found that the CNN structure with slope crest data is the most suitable for early identification of potential loess landslides.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Materials Science, Multidisciplinary
Yuan-Yuan Liu, Yaping Zhang, Yanrong Li, Yi-Chen Guo
Summary: The discrete element method is commonly used to study the meso-mechanics of granular materials. The anisotropy of particle shape and fabric of particle packings have a coupled influence on the shear behavior of granular materials. The anisotropy from particle shape has the most significant influence when the initial fabric anisotropy is perpendicular to the shear direction.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Environmental
Ping Mo, Yanrong Li
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2019)