Study of Transportation Corridor of the Dangerous Mountainous Areas Based on GIS

2014 ◽  
Vol 644-650 ◽  
pp. 1338-1341
Author(s):  
Rong Huai Chen ◽  
Xue Xian Chen ◽  
Ying Gao ◽  
Teng Zhao

As the geological hazards in mountainous areas in Southwest of China has the characteristic of different varieties, wide distribution and great harm. So, it is important to conduct the roads in scientific and rational method under the changing environment, especially to choose the traffic corridor with lower risk. In this paper, including the contents of analyzing the factors which influence the disaster risk and using the analytic hierarchy process with GIS spatial analysis to evaluate the disaster risk level of the mountainous areas of the traffic corridor under the given example-Sichuan-Tibet Railway from Changdu to Kangding.

2012 ◽  
Vol 7 (2) ◽  
pp. 59-70
Author(s):  
Martina Zeleňáková ◽  
Ibrahim Gargar ◽  
Pavol Purcz

Abstract Environmental hazards (natural and man-made) have always constituted problem in many developing and developed countries. Many applications proved that these problems could be solved through planning studies and detailed information about these prone areas. Determining time and location and size of the problem are important for decision makers for planning and management activities. It is important to know the risk represented by those hazards and take actions to protect against them. Multicriteria analysis methods - Analytic hierarchy process, Pairwise comparison, Ranking method are used to analyse which is the most dangerous hazard facing Libya country. The multicriteria analysis ends with a more or less stable ranking of the given alternatives and hence a recommendation as to which alternative(s) problems should be preferred. Regarding our problem of environmental risk assessment, the result will be a ranking or categorisation of hazards with regard to their risk level.


2020 ◽  
Vol 26 (5) ◽  
pp. 895-909
Author(s):  
Wei Liu ◽  
Zicheng Zhu ◽  
Songhe Ye

Purpose The decision-making for additive manufacturing (AM) process selection is typically applied in the end of the product design stages based upon an already finished design. However, due to unique characteristics of AM processes, the part needs to be designed for the specific AM process. This requires potentially feasible AM techniques to be identified in early design stages. This paper aims to develop such a decision-making methodology that can seamlessly be integrated in the product design stages to facilitate AM process selection and assist product/part design. Design/methodology/approach The decision-making methodology consists of four elements, namely, initial screening, technical evaluation and selection of feasible AM processes, re-evaluation of the feasible process and production machine selection. Prior to the design phase, the methodology determines whether AM production is suitable based on the given design requirements. As the design progresses, a more accurate process selection in terms of technical and economic viability is performed using the analytic hierarchy process technique. Features that would cause potential manufacturability issues and increased production costs will be identified and modified. Finally, a production machine that is best suited for the finished product design is identified. Findings The methodology was found to be able to facilitate the design process by enabling designers to identify appropriate AM technique and production machine, which was demonstrated in the case study. Originality/value This study addresses the gap between the isolated product design and process selection stages by developing the decision-making methodology that can be integrated in product design stages.


2016 ◽  
Vol 841 ◽  
pp. 373-378 ◽  
Author(s):  
Fabio de Felice ◽  
Antonella Petrillo ◽  
Federico Zomparelli

The goal of the research is to present an integrated approach that combines multi criteria analysis and disaster and emergency management. The study is based on a well know multi criteria technique, the Analytic Hierarchy Process (AHP). An AHP model is proposed in order to define a Disaster Risk Management Performance Index (DRMPI) that quantifies the performance and effectiveness of risk management to evaluate emergency alternative problems. This model is implemented in a real case study.


2020 ◽  
Vol 9 (2) ◽  
pp. 81-103
Author(s):  
Padam Bahadur Budha ◽  
Pawan Rai ◽  
Prem Katel ◽  
Anu Khadka

The occurrence of landslides in mountainous areas of Nepal is recurrent phenomena and this can be disastrous if occurred within human settlements. Proper research is required to manage and reduce the risks of the disaster in places where landslides had occurred frequently. In risk assessment estimation of vulnerability is one major component. This research was aimed to generate information on the vulnerability of people in the Panchase area of central Nepal. The method of analytical hierarchy process was used to define the weightage to be assigned for 4 factors and 26 indicators used in the research. 377 households were surveyed with a questionnaire designed to collect information on those indicators. The households sampled for the survey were made sure that they were near or around the landslide affected area. The response for each indicator was converted into scores which when summed up yielded the vulnerability score. This score for each household was used to categorize households into five levels of vulnerability from very low, low, moderate, high, to very high. The numbers of households in each category were 16, 92, 191, 75, and 3 respectively. Environmental and economic indicators were inflicting higher vulnerability in this research location. Remoteness and lesser number of facilities and/or services, lower numbers of governmental offices, absence of banking and financial institutions, lesser preferences for insurances and savings, degraded natural water sources were major determinants of higher vulnerability in Panchase. These indicators should be prioritized during disaster risk management in Panchase.


Author(s):  
Intan Dwi Rahayu ◽  
L. Sukardi

The purpose of this research was to analyze the effort to improved competitiveness of potato commodities. This research employed a descriptive method and used data collection techniques of survey and interview. The data analyses being used were descriptive analysis and SWOT, and analytic hierarchy process (AHP). The result showed that there were five chain structures of potato commodity supply. Internal and external factor each has eight criteria which were made to alternative strategies. AHP suggests that strategies of internal factor are the development of facilities and infrastructure for potato commodity, increasing potato seeds availability, broadening market information, optimizing the utilization of potential cultivation area in Sembalun, improving and exploiting farmers’ potato cultivation experience, improving potato quality, utilizing available workers in potato post-harvest handling process, and reducing overproduction. Furthermore, the strategies of external factor are sharpening potato farmer’s skill, following the competition level, improving production opportunities in dry season, reducing risk level of extreme climate, practicing and making use of available government policy, improving the production to meet consumer demand, reducing pests and diseases and minimizing the fluctuations in potato price.


2018 ◽  
Author(s):  
Chuanming Ma ◽  
Xiaoyu Wu ◽  
Bin Li ◽  
Ximei Hu

Abstract. The multi-hazard susceptibility assessment can provide a basis to decision-making for land use planning and geo-hazards management. The main scope of this paper is assess multi-hazard susceptibility to identify susceptibility area by using an integrated method of the Analytic Hierarchy Process (AHP) and the Difference Method (MD) within MapGIS environment. The basic principle of this method is to predict future geological hazards based on occurrence mechanism of occurred geological hazards and the geological conditions that caused past geological hazards. Typical geo-hazards susceptibility are separately assessed by applying Analytic Hierarchy Process (AHP). The multi-hazard susceptibility is completed by synthesizing individual geo-hazards susceptibility result with the Difference Method (MD), the multi-hazard susceptibility map is generated by utilizing MapGIS platform. The multi-hazard map can provide decision-makers with visual information for geo-hazards management and land use planning, which reduce confusion of decision-makers on high number of individual geo-hazard map. The study area was categorized into high susceptibility zone, moderate susceptibility zone, low susceptibility zone, and insusceptible zone, accounting for 16.5 %, 41.6 %, 33.8 % and 8.1 % of the total study area, respectively. The multi-hazad susceptibility result can be combined with other conditions to provide decision-makers with theoretical basis for geo-hzards management and planning of development.


2015 ◽  
Vol 61 (225) ◽  
pp. 115-126 ◽  
Author(s):  
Wang Shijin ◽  
Qin Dahe ◽  
Xiao Cunde

AbstractTo better understand the risk of disasters due to glacial lake outburst floods (GLOFs), we synthetically analyze the spatial distribution and evolution of moraine-dammed lakes and potentially dangerous glacial lakes (PDGLs) in the Chinese Himalaya. Our county-based assessment of GLOF disaster risk combines PDGL outburst hazard, regional exposure, vulnerability of exposed elements and adaptation capability (risk management) using the analytic hierarchy process. We synthetically analyze the disaster risk using the weighted comprehensive method. Remote-sensing data show there are 329 moraine-dammed lakes (>0.02 km2; total area 125.43 km2) in the Chinese Himalaya, of which 116 (total area 49.49 km2) are identified as PDGLs. The zones at highest risk of GLOF disaster are mainly located in Nyalam, Tingri, Dinggyê, Lhozhag, Kangmar and Zhongba, in the mid-eastern Himalaya. Lowest-risk zones are located in the eastern Himalaya. On the county scale, Lhozhag and Lhunze have the highest hazard degrees and exposure, while Zhongba and Zando have the highest degree of vulnerability and lowest adaptation capacity. Our regionalization results for GLOF disaster risk are consistent with the distribution of historical disaster sites across the Chinese Himalaya.


2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Li-Ching Ma

Partnership selection is an important issue in management science. This study proposes a general model based on mixed integer programming and goal-programming analytic hierarchy process (GP-AHP) to solve partnership selection problems involving mixed types of uncertain or inconsistent preferences. The proposed approach is designed to deal with crisp, interval, step, fuzzy, or mixed comparison preferences, derive crisp priorities, and improve multiple solution problems. The degree of fulfillment of a decision maker’s preferences is also taken into account. The results show that the proposed approach keeps more solution ratios within the given preferred intervals and yields less deviation. In addition, the proposed approach can treat incomplete preference matrices with flexibility in reducing the number of pairwise comparisons required and can also be conveniently developed into a decision support system.


Spatium ◽  
2007 ◽  
pp. 44-59 ◽  
Author(s):  
Milanka Filipovic

The first part of this text deals with a convention site selection as one of the most lucrative areas in the tourism industry. The second part gives a further description of a method for decision making - the analytic hierarchy process. The basic characteristics: hierarchy constructions and pair wise comparison on the given level of the hierarchy are allured. The third part offers an example of application. This example is solved using the Super - Decision software, which is developed as a computer support for the analytic hierarchy process. This indicates that the AHP approach is a useful tool to help support a decision of convention site selection. .


2018 ◽  
Vol 9 (2) ◽  
pp. 111-116
Author(s):  
Mahmoudi Norouz ◽  
Khoshi Abolfazl

This study aims to introduce and use new combined methods called analytic hierarchy process (AHP) and PROMETHEE II in order to prioritize the important criteria and indexes in educational assessment of Islamic education lessons for medical courses at university from the point of view of students. For this purpose, the comments of medical students of Tehran University of medical sciences were used. The number of samples was selected to be 191 by using Cochran formula and a researcher based questionnaire including 3 criteria of cognitive, Attitudinal and scientific skills with 14 overall indexes has been designed. Then, by using AHP method, the weights of criteria were determined and then the best index was selected for developing the aims of curriculum using PROMETHEE II and other indexes were prioritized. Based on the results, it has been determined that students believe that in assessing of Islamic education lessons for medical course at universities, the scientific, Attitudinal and cognitive skills must be prioritized as first to third ranks and also among the given indexes, convincing students to do research, rising their knowledge in different fields, improving Mental powers, Voluntary actions and being educated and trained accurately are prioritized as first to third ranks.  


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