Risk assessment of urban network planning in china based on the matter-element model and extension analysis

He, Yongxiu; Dai, Ai-ying; Zhu, Jiahui; He, Haojie; Li, Furong

doi:10.1016/j.ijepes.2010.12.037

Cited by 82 publications

(55 citation statements)

References 13 publications

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“…There are many criteria weight determination methods, which can be divided into three types, namely the subjective weighting method, the objective weighting method, and the comprehensive method combing subjective weighting method and objective weighting method [34]. The selection of weight determination method should be based on the evaluated object and accessible criteria data.…”

Section: Matter-element Extension Model (Meem)mentioning

confidence: 99%

“…This paper performs the risk evaluation on the Qinghai-Tibet power grid interconnection project, which can fill the current research gap. The matter-element extension model (MEEM), as a kind of multiple attribute decision-making method (MADM), employs the formalized logic tools to analyze the contradiction issues qualitatively and quantitatively [33], which has been applied in many fields, such as risk assessment of urban network planning [34], stability evaluation of high rock slope [35], and external economies evaluation of wind power [33]. It is very regrettable to find that a matter-element extension model has rarely been employed in the fields of power grid engineering.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, this is the first study that performs the risk evaluation on a power grid interconnection project; (2) The matter-element extension model (MEEM) has been applied in many fields, and it shows good performance in the issue of risk evaluation [33][34][35]. This is the first MEEM-based MADM technique developed for risk evaluation of a power grid interconnection project, which makes an attempt to extent the application domains of matter-element extension model; (3) In order to verify the robustness of risk evcaluation and identify the key risk indicators, the sensitivity analysis is conducted to probe into the impacts of criteria weights and criteria performances on final risk evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Liu

2016

Sustainability

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Tel./Fax: +86-1061773129 † These authors contributed equally to this work. Abstract:The Qinghai-Tibet power grid interconnection project is the first power transmission project with the highest altitude, longest transmission lines, longest distance running across the plateau frozen ground, and highest iron tower in the world. The risk evaluation on it can identify the overall risk level and key risk factors, which can reduce risk-induced loss and promote sustainable construction. In this paper, the risk of the Qinghai-Tibet power grid interconnection project was evaluated by employing a matter-element extension model under a fuzzy environment. After building the risk evaluation index system, the performances and weights of criteria were qualitatively judged by three groups of experts in different fields, and then the risk of the Qinghai-Tibet power grid interconnection project was rated by employing matter-element extension model. Meanwhile, the sensitivity analysis was performed to identify key risk criteria. The empirical results indicate the risk of the Qinghai-Tibet power grid interconnection project belongs to the "stronger" grade, tending to the "strongest" grade. "Social stability risk", "altitude sickness seizure risk", "permafrost-induced risk", "severe weather-induced risk", and "ecological destruction risk" are key sub-criteria, which should be paid more attention to when taking risk management measures. Finally, some countermeasures for key risks of the Qinghai-Tibet power grid interconnection project were given. The findings in this paper can provide references for engineering managers and related stakeholders.

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Section: Matter-element Extension Model (Meem)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Liu

2016

Sustainability

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“…Hsu and Wen-Ko [14] determined that client partnering is definitively applicable to higher client assist, under remaining risk, as well as beneficial project conduct. He and Yong-xiu et al [15] ascertained the existence of an authoritarian disproving association between standardization as well as remaining performance risk. Heidrich et al [12] admitted and contrasted the exercises of four risk reduction conducts on risk elements based on 50 software projects.…”

Section: Literature Reviewmentioning

confidence: 99%

Generic Approach for Goal Driven Software Requirement Risk Management

Patil¹,

Ade²

2015

CAE

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“…The improved fuzzy matter-element evaluation method was used to assess water quality, which achieved more reliable results than that using the traditional method (Liu et al 2012). Based on the matter-element method (He et al 2011) designed a model to evaluate the urban power net work planning, and Zhu (2010) analyzed coefficients of evaluation in rockburst. The empirical analysis showed that this model was reliable and feasible.…”

mentioning

confidence: 99%

Predicting Model of Rockburst Based on Nondeterministic Theory

Wang

2017

Evolution, Monitoring and Predicting Models of Rockburst

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Predicting is the basis of prevention and controlling of rockburst hazards. According to the predicting results, the feedback design of rock engineering and controlling measures are taken in time. It is of great theoretical and practical value for the safety and efficiency of deep mine. So far, there are many methods to judge rockburst tendency, such as rock integrity coefficient method, strength criterion discrimination method, rock brittleness index method, elastic energy index method, dynamic failure time method, rockburst energy ratio method, impact energy index method, impact tendency criterion method, and resistivity method. Most of these methods and judging indexes, which is only considered the individual factors, were one-sidedness, limitations and complications. Therefore, the influencing factors of rockburst are comprehensively based on the non-deterministic theory for established a more accurate rockburst predicting model. Rockburst is a complex dynamic instability phenomenon (Hedley 1992), which can occur during underground excavation in areas with large in situ stress. As a result of the sudden release of accumulated strain energy, rocks can be come loose, crack, and even eject violently (Canadian Rockburst Research Program 1996). As a result, rockbursts were considered a major technical challenge in deep mining. Duo to the characteristic of sudden, disruptive, and complex, the accurate prediction of rockbursts was difficult and an urgent problem need to be solved (Blake et al. 2003).The phenomenon was discussed extensively by many scholars. Rockburst tendency is an important metric to quantify the risk and potential intensity of occurrences and grade the hazard of an affected mine. However, there are still no accurate prediction methods or effective control measures. In recent decades, many meaningful advances have been made by many scholars (Singh 1989;Dou et al. 2009;Marek 2009;Patynska et al. 2009;Marian 2011). Rockburst mechanism was better understand using some proposed some criteria, such as strength theory, stiffness theory and energy theory. These models could be explained the origin and mechanism of

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Risk assessment of urban network planning in china based on the matter-element model and extension analysis

Cited by 82 publications

References 13 publications

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Generic Approach for Goal Driven Software Requirement Risk Management

Predicting Model of Rockburst Based on Nondeterministic Theory

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