Application of Gray Analytic Hierarchy Process in Project Risk Evaluation

Cui, Dong-hong; Zhang, Xiyan

doi:10.1109/aici.2009.208

Cited by 7 publications

(2 citation statements)

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“…The setting principle of action direction is if the growth of the index is conducive to reducing the EEP, the action direction is negative; if the growth of this index is conducive to the increase in the EEP, the action direction is positive. In this paper, AHP is one of the important methods to calculate the weight [25]. First, the AHP is used to determine the index weight, and then the TOPSIS method is used to evaluate the system.…”

Section: Indicator Systemmentioning

confidence: 99%

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Jiang

Liu

2022

Sustainability

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With improved productivity, the impact of social and economic development on the ecological environment is becoming more and more significant, and the transformation of transportation modes often accompanies the transformation of the economic development mode. It is essential to study the impact of high-speed rail (HSR) on the environment. This article constructs a compiled index Ecological Environment Pressure (EEP) evaluation system. The spatial analysis tool is then used to explore the temporal and spatial evolution characteristics of EEP in China. The Difference-in-Difference (DID) method and the Propensity Score Matching (PSM) method are used to quantitatively calculate the impact of HSR operations on EEP based on Panel Data. The results show that the EEP in China decreased significantly from 2003 to 2018, and therefore the quality of China’s ecological environment is improving. The regression coefficient of HSR on EEP is significantly negative, indicating that HSR operations will reduce EEP. Additionally, the HSR operation in the eastern and central regions negatively impacts the EEP. At the same time, the HSR operations will also reduce the EEP of resource-based cities, especially for resource-based cities in the central region. The degree of industrial transformation (DIT) and degree of employment transformation (DET), combined with the implementation of HSR operations, can significantly reduce the EEP. It is suggested to formulate more focused actions and policies to reduce EEP and effectively promote sustainable social development.

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Section: Indicator Systemmentioning

confidence: 99%

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Jiang

Liu

2022

Sustainability

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“…Since different evaluation indicators have different degrees of influence and contribution rates to the research objects, evaluation indicators need to be distinguished by weight values. In this paper, the analytic hierarchy process is used for weight assignment, and the specific content can be found in the literature [17,18] and will thus not be repeated here.…”

Section: Determination Of Indicator Weightmentioning

confidence: 99%

Safety Assessment of Channel Seepage by Using Monitoring Data and Detection Information

et al. 2022

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Seepage analysis has always been the focus of channel safety and stability research. Establishing a diagnosis method based on osmotic pressure monitoring data and combining the detection information to achieve osmotic safety is also an effective way to ensure the safety and stability of osmotic engineering. In this paper, a high-fill channel section of a water diversion project is taken as an example, and the study of osmotic safety is carried out by analyzing the engineering characteristics of linear engineering. High-fill channel sections were selected to study the temporal and spatial characteristics of various monitoring data reflecting the osmotic behavior of linear engineering; that is, these data reflect the time-varying regularity characteristics of the osmotic pressure value and the changing regularity of environmental variables. A single-point multifactor model of the monitoring data was established by establishing an evaluation index system, combining the monitoring index value method and the cloud model theory method according to the distribution law of the measured data and considering the uncertainty of the osmotic pressure data. Additionally, this model was integrated with the set pair analysis method to determine the monitoring data evaluation level; channel detection data information was collected, the abnormal detection of detection information was realized, and the monitoring data results were used to verify the detection results. In this way, an adaptive evaluation method reflecting the working behavior of high-filled channel sections is established, and a diagnostic technology for the safe operation of high-filled channel sections of linear engineering is proposed. The application results show that this method is suitable for engineering an osmotic safety assessment.

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Environmental risk assessment method for dense tailings ponds areas – a case study of the Yellow River Basin of Henan Province, China

Wang,

Liu,

Jiang

et al. 2024

Human and Ecological Risk Assessment: An International Journal

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Application of Gray Analytic Hierarchy Process in Project Risk Evaluation

Cited by 7 publications

References 0 publications

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Safety Assessment of Channel Seepage by Using Monitoring Data and Detection Information

Environmental risk assessment method for dense tailings ponds areas – a case study of the Yellow River Basin of Henan Province, China

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