Zonasi Daerah Rawan Longsor Menggunakan Analisis Sistem Informasi Geografis Berdasarkan Metode AHP Pada Daerah Gunung Kidul Yogyakarta

Abstract Data from the Yogyakarta Regional National Survey and Mapping Coordinating Board (Bakosurtanal), disasters that often occur in Yogyakarta are landslides, droughts, tornadoes.In this study, the modeling of potential landslides in the Gunung Kidul area of Yogyakarta has been carried out using GIS analysis and scoring and weighting methods with reference to PU Candy No. 22 /PRT /M /2007 concerning the Guidelines for Landslide Disaster Prone Areas and the Analytical Hierarchy Process (AHP) method. The results were in the form of Three Zoning landslide prone areas, namely high potential found in three Hamlets namely Kacangan Hamlet Hargomulyo Village located at N 42º E, Kedok Ploso N 186º E Hamlet, and Kembang Village Nglegi Hamlet N 160º E based on vulnerability maps landslides processed based on Permen PU No. 22 / PRT / M / 2007. While the Medium Zone is located in Karangduwet Hamlet, Ngalang Village N 95º E. The low vulnerability zone is located in Duwet Hamlet, Ngalang Village N 4º E. Criteria in the study area include lithology: 0,250, slope: 0,053, groundwater condition 0,304, soil structure: 0,161 , land cover: 0.102 and relative reief: 0.131 all criteria determination is based on landscape hazard evaluation factor (LHEF) which is processed based on AHP method and map overlay technique

AN INTEGRATED MULTI-MODEL OPTIMIZATION AND FUZZY AHP FOR SHELTER SITE SELECTION AND EVACUATION PLANNING

Due to an increasing severity of recent disasters, shelter site selection and evacuation planning have become an essential function for the purpose of helping at-risk persons to avoid or recover from the effect of a disaster. Therefore, this study aims to propose an integrated mathematical optimization and fuzzy analytic hierarchy process for shelter site selection and evacuation planning. The mathematical models are formulated under different constraints and model types, in which the objective of each mathematical model is to minimize the total travel distance. The mathematical models are coded and run in optimizer tool for creating plans. Then, Fuzzy Analytic Hierarchy Process is applied to choose the appropriate plan under uncertainty and vagueness of the expert\u27s opinion. A numerical example with a real case study of a Banta municipality in Thailand is given to demonstrate the application of our conceptual model. This study will be great significance in helping decision makers consider placement of emergency shelters and evacuation planning with respect to both qualitative and quantitative measurement. Moreover, our study can be a guide of the methodology to be implemented to other problems as well

Dynamic temporary blood facility location-allocation during and post-disaster periods

The key objective of this study is to develop a tool (hybridization or integration of different techniques) for locating the temporary blood banks during and post-disaster conditions that could serve the hospitals with minimum response time. We have used temporary blood centers, which must be located in such a way that it is able to serve the demand of hospitals in nearby region within a shorter duration. We are locating the temporary blood centres for which we are minimizing the maximum distance with hospitals. We have used Tabu search heuristic method to calculate the optimal number of temporary blood centres considering cost components. In addition, we employ Bayesian belief network to prioritize the factors for locating the temporary blood facilities. Workability of our model and methodology is illustrated using a case study including blood centres and hospitals surrounding Jamshedpur city. Our results shows that at-least 6 temporary blood facilities are required to satisfy the demand of blood during and post-disaster periods in Jamshedpur. The results also show that that past disaster conditions, response time and convenience for access are the most important factors for locating the temporary blood facilities during and post-disaster periods

AN INTEGRATED MULTI-MODEL OPTIMIZATION AND FUZZY AHP FOR SHELTER SITE SELECTION AND EVACUATION PLANNING

Due to an increasing severity of recent disasters, shelter site selection and evacuation planning have become an essential function for the purpose of helping at-risk persons to avoid or recover from the effect of a disaster. Therefore, this study aims to propose an integrated mathematical optimization and fuzzy analytic hierarchy process for shelter site selection and evacuation planning. The mathematical models are formulated under different constraints and model types, in which the objective of each mathematical model is to minimize the total travel distance. The mathematical models are coded and run in optimizer tool for creating plans. Then, Fuzzy Analytic Hierarchy Process is applied to choose the appropriate plan under uncertainty and vagueness of the expert\u27s opinion. A numerical example with a real case study of a Banta municipality in Thailand is given to demonstrate the application of our conceptual model. This study will be great significance in helping decision makers consider placement of emergency shelters and evacuation planning with respect to both qualitative and quantitative measurement. Moreover, our study can be a guide of the methodology to be implemented to other problems as well

The state of the art development of AHP (1979-2017): A literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979?1990, 1991?2001 and 2002?2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

The state of the art development of AHP (1979-2017): a literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of ‘network flexibility’ is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthquake case and provide evidence-based insights regarding how humanitarian organizations can improve network flexibility in HSCs. Our analyses for Nepal case show that delivery, IT support, and fleet criteria have the most influence on flexibility. Also, the application of our framework on the downstream network of nine humanitarian organizations shows low levels of network flexibility in all but one. This finding explains why several disruptions happened in relief distributions during the Nepal response.Published VersionNivå