A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, Ch...A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, China. Landslide inventory data were collected based on field investigations and remote sensing interpretations. A total of 791 landslides were identified. A total of 633 landslides were randomly selected from this data setas the training set, and the remaining landslides were used for validation as the test set. Nine factors, including the slope angle, slope aspect, slope curvature, lithology, distance to faults, distance to streams, precipitation, road network intensity degree and land use were chosen as the landslide causal factors for further susceptibility assessment. The weight of each factor and its subclass were calculated by AHP and CF methods. Landslide susceptibility was compared between the bivariate statistical method and the proposed CF-AHP method. The results indicate that the distance to streams, distance to faults and lithology are the most dominant causal factors associated with landslides. The susceptibility zonation was categorized into five classes of landslide susceptibility, i.e., very high, high, moderate, low and very low level. Lastly, the relative operating characteristics(ROC) curve was used to validate the accuracy of the new approach, and the result showed a satisfactory prediction rate of 78.3%, compared to 69.2% obtained with the landslide susceptibility index method. The results indicate that the CF-AHP combined method is more appropriate for assessing the landslide susceptibility in this area.展开更多
Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulati...Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulation Factor Sequence Evaluating Data. We used the arithmetical average to replace the expert marking, so that the possible decision mistakes by the subjective judgments could be avoided. We computed the case with this method, which obtained attribute value of 17 influencing factors of the potential food production in Heilongjiang Province, and the result of which was reasonable展开更多
The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works ...The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works above,this paper made an scientific assessment on the influencing factors of food production and production potential of the various regions in the Songnen Plain.The weights and composite indices were calculated with the method of solving weight by AHP's accumulation factor sequence evaluating data,and were processed by single-level sorting and general sorting.The result showed that,the region of Changchun had the biggest potential for improving food production,but smallest for Heihe region.The key reason for the food production discrepancy of a variety of regions in Songnen Plain is the differences in scale of production and climatic conditions,the weight coefficients of which are 0.3654 and 0.2742;however,the weight coefficients of agricultural science and technology investment is very low just 0.1703,which should be increasted in the future.展开更多
In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among reside...In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among residents in Chongqing.The weights of each dimension are determined to promote the formation of a good situation of multi-party collaborative promotion and help achieve the“double carbon”goal.The level of carbon literacy reflects the residents’understanding of carbon literacy and has important significance for economic and social operation and environmental protection.The results indicate that the deepening of the concept of carbon inclusiveness and the continuous advancement of technology will lead to a continuous process of improving the carbon inclusiveness literacy of Chongqing residents.Corresponding suggestions are proposed on how to improve the carbon inclusiveness literacy of Chongqing residents,which is of great research significance.展开更多
Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to conside...Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to consider the engineering and geological conditions, hydrogeological conditions and mining methods of coal seams. From the three aspects, this paper systematically analyzes the influencing factors and establishes an identification model with multi-level structures. The model includes three primary factors (including the engineering and geological conditions, hydrogeological conditions and mining methods), nine secondary factors (including overlying strata thickness, aquiclude, mining parameters and etc.), sixteen third-tier factors (including the faults, aquiclude thickness and effective mining height and etc.) and twelve fourth-tier factors (including the fault throw exp on ent, aquiclude permeability and coal pillar sizes and etc.). On the basis, the analytic hierarchy process is used to build the judgment matrix and obtain the weight of each influencing factor. The results indicate that the overlying strata thickness, aquiclude and effective mining height are the most import a nt factors among the primary factors of engineering and geological conditions, hydrogeological conditions and mining methods, respectively. The research results could provide theoretical references for the water-conserving mining of coal resources in northwest China.展开更多
Manufacturing industries are facing challenges in the implementation of agile manufacturing in their products and processes. Agility is widely accepted as a new competitive concept in the manufacturing sector in fulfi...Manufacturing industries are facing challenges in the implementation of agile manufacturing in their products and processes. Agility is widely accepted as a new competitive concept in the manufacturing sector in fulfilling varying customer demand. Thus, evaluation of agile manufacturing in industries has become a necessity. The success of an organisation depends on its ability to manage finding the critical success factors and give them special and continued attention in order to bring about high performance. This paper proposes a set of critical success factors （CSFs） for evaluating agile manufacturing considered appropriate for the manufacturing sector. The analytical hierarchy process （AHP） method is applied for prioritizing the success factors, by summarizing the opinions of experts. It is believed that the proposed CSFs enable and assist manufacturing industries to achieve a higher performance in agile manufacturing so as to increase competitiveness.展开更多
The increasing demand for infrastructural facilities in hill areas needs efficient spatial planning at the local level through land suitability assessment,which is influenced by a number of factors. There has been lit...The increasing demand for infrastructural facilities in hill areas needs efficient spatial planning at the local level through land suitability assessment,which is influenced by a number of factors. There has been little systematic empirical work for identification and evaluation of the factors affecting spatial planning decisions in hill areas. The present study focuses on identifying the critical factors for land suitability assessment at the local level in hill areas and determining their percentage influence, which has been done in two stages. In the first stage, the comprehensive list of 21 factors from the reported literature was prepared which was further condensed to the critical factors. In the second stage, the percentage influence of the critical factors was calculated by analyzing the experts’ opinions collected through a questionnaire survey. Analytic Hierarchy Process(AHP) was used for the analysis of the questionnaire for weighting the critical factors. The slope was identified with the highest weight followed by aspect, surface runoff, elevation, and vegetation,whereas groundwater table, existing utilities,accessibility, soil type, and land use have comparatively less weights. The results of the study were used for the identification of locations for builtup facilities of an educational campus located in hill areas of Himachal Pradesh, India.展开更多
In recent years,marine pilotage accidents occurring on a worldwide basis as a result of human error have not been ceased to transpire,despite advances in technology and a significant set of international conventions,r...In recent years,marine pilotage accidents occurring on a worldwide basis as a result of human error have not been ceased to transpire,despite advances in technology and a significant set of international conventions,regulations,and recommendations to reduce them.This paper aims to investigate the effect of human factors on the safety of maritime pilotage operations.The human factors that affect the operators who are performing ships’berthing operations have also been examined in detail.In this study,in order to determine the causes of human-related errors occurred in maritime pilotage accidents,a comprehensive literature review is carried out,and a considerable number of real past case examples and an analysis of the maritime accident investigation reports regarding pilotage operations events that occurred between 1995 and 2015 have been reviewed.To validate the identified humanrelated risk factors(HCFs)and explore other contributory factors,survey questionnaires and semi-structured interviews with domain experts have been conducted.A structural hierarchy diagram for the identified risk factors(HCFs)has been developed and validated through experienced experts belonging to the maritime sector.A questionnaire for pair-wise comparison is carried out and analysed using the analytic hierarchy process(AHP)approach to evaluate the weight and rank the importance of the identified human causal factors.The findings of this study will benefit the maritime industry,by identifying a new database on causal factors that are contributing to the occurrence of maritime pilotage disasters.The database can be used as a stand-alone reference or help implement effective risk reduction strategies to reduce the human error,that might occur during pilotage operations.展开更多
In Korea construction industry, the increase of tower crane’s usage continuously and the accidents of tower crane are increasing simultaneously. But research on tower crane is insufficient for reducing the tower cran...In Korea construction industry, the increase of tower crane’s usage continuously and the accidents of tower crane are increasing simultaneously. But research on tower crane is insufficient for reducing the tower crane accident. This study aims to derive the importance ranking of accident factors of cab-control tower crane by AHP analysis. AHP survey was conducted on experts such as construction engineer, construction manager, safety engineer, and tower crane operator, who have more than 10-year career. The results of AHP analysis reveal that top ranking factor of cab-control tower crane’s accident is erection work. Therefore, the derived factors should be managed, and the priority measures taken for reducing the tower crane accidents according to the ranking of accident factors.展开更多
基金financial support from National Natural Science Foundation of China (Grant No. 41272282)National Natural Science Foundation of China-Youth Foundation (Grant No. 41402254)+1 种基金geological disaster survey projects of China Geological Survey (Grant No. 1212011220135, Grant No. DDW2016-01)the Fundamental Research Funds for the Central Universities (Grant No. 310826175030)
文摘A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, China. Landslide inventory data were collected based on field investigations and remote sensing interpretations. A total of 791 landslides were identified. A total of 633 landslides were randomly selected from this data setas the training set, and the remaining landslides were used for validation as the test set. Nine factors, including the slope angle, slope aspect, slope curvature, lithology, distance to faults, distance to streams, precipitation, road network intensity degree and land use were chosen as the landslide causal factors for further susceptibility assessment. The weight of each factor and its subclass were calculated by AHP and CF methods. Landslide susceptibility was compared between the bivariate statistical method and the proposed CF-AHP method. The results indicate that the distance to streams, distance to faults and lithology are the most dominant causal factors associated with landslides. The susceptibility zonation was categorized into five classes of landslide susceptibility, i.e., very high, high, moderate, low and very low level. Lastly, the relative operating characteristics(ROC) curve was used to validate the accuracy of the new approach, and the result showed a satisfactory prediction rate of 78.3%, compared to 69.2% obtained with the landslide susceptibility index method. The results indicate that the CF-AHP combined method is more appropriate for assessing the landslide susceptibility in this area.
文摘Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulation Factor Sequence Evaluating Data. We used the arithmetical average to replace the expert marking, so that the possible decision mistakes by the subjective judgments could be avoided. We computed the case with this method, which obtained attribute value of 17 influencing factors of the potential food production in Heilongjiang Province, and the result of which was reasonable
文摘The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works above,this paper made an scientific assessment on the influencing factors of food production and production potential of the various regions in the Songnen Plain.The weights and composite indices were calculated with the method of solving weight by AHP's accumulation factor sequence evaluating data,and were processed by single-level sorting and general sorting.The result showed that,the region of Changchun had the biggest potential for improving food production,but smallest for Heihe region.The key reason for the food production discrepancy of a variety of regions in Songnen Plain is the differences in scale of production and climatic conditions,the weight coefficients of which are 0.3654 and 0.2742;however,the weight coefficients of agricultural science and technology investment is very low just 0.1703,which should be increasted in the future.
基金Research on the Measurement and Influencing Factors of Carbon Inclusive Literacy of Chongqing Residents under the“ Dual Carbon”Goal(S2024115001011)。
文摘In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among residents in Chongqing.The weights of each dimension are determined to promote the formation of a good situation of multi-party collaborative promotion and help achieve the“double carbon”goal.The level of carbon literacy reflects the residents’understanding of carbon literacy and has important significance for economic and social operation and environmental protection.The results indicate that the deepening of the concept of carbon inclusiveness and the continuous advancement of technology will lead to a continuous process of improving the carbon inclusiveness literacy of Chongqing residents.Corresponding suggestions are proposed on how to improve the carbon inclusiveness literacy of Chongqing residents,which is of great research significance.
基金the National Key Basic Research Program of China (973 Program)(grant number 2015CB251600)the National Natural Science Foundation of China (51874280)+1 种基金the Open Project of Key Laboratory of Mine Geological Hazards Mechanism and Control (grant number KF2017-02)the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to consider the engineering and geological conditions, hydrogeological conditions and mining methods of coal seams. From the three aspects, this paper systematically analyzes the influencing factors and establishes an identification model with multi-level structures. The model includes three primary factors (including the engineering and geological conditions, hydrogeological conditions and mining methods), nine secondary factors (including overlying strata thickness, aquiclude, mining parameters and etc.), sixteen third-tier factors (including the faults, aquiclude thickness and effective mining height and etc.) and twelve fourth-tier factors (including the fault throw exp on ent, aquiclude permeability and coal pillar sizes and etc.). On the basis, the analytic hierarchy process is used to build the judgment matrix and obtain the weight of each influencing factor. The results indicate that the overlying strata thickness, aquiclude and effective mining height are the most import a nt factors among the primary factors of engineering and geological conditions, hydrogeological conditions and mining methods, respectively. The research results could provide theoretical references for the water-conserving mining of coal resources in northwest China.
基金Supported by Anna University,Chennai for the funding done under DST PURSE Ⅱ–Junior Research Fellowship 9500/PD2/2014,Dated24.03.2015
文摘Manufacturing industries are facing challenges in the implementation of agile manufacturing in their products and processes. Agility is widely accepted as a new competitive concept in the manufacturing sector in fulfilling varying customer demand. Thus, evaluation of agile manufacturing in industries has become a necessity. The success of an organisation depends on its ability to manage finding the critical success factors and give them special and continued attention in order to bring about high performance. This paper proposes a set of critical success factors （CSFs） for evaluating agile manufacturing considered appropriate for the manufacturing sector. The analytical hierarchy process （AHP） method is applied for prioritizing the success factors, by summarizing the opinions of experts. It is believed that the proposed CSFs enable and assist manufacturing industries to achieve a higher performance in agile manufacturing so as to increase competitiveness.
文摘The increasing demand for infrastructural facilities in hill areas needs efficient spatial planning at the local level through land suitability assessment,which is influenced by a number of factors. There has been little systematic empirical work for identification and evaluation of the factors affecting spatial planning decisions in hill areas. The present study focuses on identifying the critical factors for land suitability assessment at the local level in hill areas and determining their percentage influence, which has been done in two stages. In the first stage, the comprehensive list of 21 factors from the reported literature was prepared which was further condensed to the critical factors. In the second stage, the percentage influence of the critical factors was calculated by analyzing the experts’ opinions collected through a questionnaire survey. Analytic Hierarchy Process(AHP) was used for the analysis of the questionnaire for weighting the critical factors. The slope was identified with the highest weight followed by aspect, surface runoff, elevation, and vegetation,whereas groundwater table, existing utilities,accessibility, soil type, and land use have comparatively less weights. The results of the study were used for the identification of locations for builtup facilities of an educational campus located in hill areas of Himachal Pradesh, India.
文摘In recent years,marine pilotage accidents occurring on a worldwide basis as a result of human error have not been ceased to transpire,despite advances in technology and a significant set of international conventions,regulations,and recommendations to reduce them.This paper aims to investigate the effect of human factors on the safety of maritime pilotage operations.The human factors that affect the operators who are performing ships’berthing operations have also been examined in detail.In this study,in order to determine the causes of human-related errors occurred in maritime pilotage accidents,a comprehensive literature review is carried out,and a considerable number of real past case examples and an analysis of the maritime accident investigation reports regarding pilotage operations events that occurred between 1995 and 2015 have been reviewed.To validate the identified humanrelated risk factors(HCFs)and explore other contributory factors,survey questionnaires and semi-structured interviews with domain experts have been conducted.A structural hierarchy diagram for the identified risk factors(HCFs)has been developed and validated through experienced experts belonging to the maritime sector.A questionnaire for pair-wise comparison is carried out and analysed using the analytic hierarchy process(AHP)approach to evaluate the weight and rank the importance of the identified human causal factors.The findings of this study will benefit the maritime industry,by identifying a new database on causal factors that are contributing to the occurrence of maritime pilotage disasters.The database can be used as a stand-alone reference or help implement effective risk reduction strategies to reduce the human error,that might occur during pilotage operations.
文摘In Korea construction industry, the increase of tower crane’s usage continuously and the accidents of tower crane are increasing simultaneously. But research on tower crane is insufficient for reducing the tower crane accident. This study aims to derive the importance ranking of accident factors of cab-control tower crane by AHP analysis. AHP survey was conducted on experts such as construction engineer, construction manager, safety engineer, and tower crane operator, who have more than 10-year career. The results of AHP analysis reveal that top ranking factor of cab-control tower crane’s accident is erection work. Therefore, the derived factors should be managed, and the priority measures taken for reducing the tower crane accidents according to the ranking of accident factors.
