A Statistical Criterion of Consistency in the Analytic Hierarchy Process

Alonso, José Antonio; Lamata, María Teresa

doi:10.1007/11526018_8

Cited by 10 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As presented in Section 2.2 and Section 2.3 , the key indicators’ system for the comprehensive evaluation of ERI was established using six guiding principles proposed by Raybould [ 71 ]. According to Raybould, the selection of indicators system should follow the criteria, stated below: It should be based on the availability of accurate data; accuracy of data is the primary factor for correct analysis and decision making.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania

Kazuva

Zhang

Tong

et al. 2018

IJERPH

View full text Add to dashboard Cite

Environmental risk has become an area of major concern and research, drawing special attention. This study on the environmental risk assessment (ERA) of Dar es Salaam Municipal Solid Waste comes at a time when the Government of Tanzania is becoming increasingly concerned about dealing with high levels of pollution from municipal solid waste (MSW). The paper employed the Driving force-Pressure-State-Impact-Response (DPSIR) model to establish an environmental risk indicator system and the analytical hierarchy process (AHP) to calculate and analyze risk values, based on the actual situation of MSW in the city of Dar es Salaam. It lists several measures that have been taken in response to the current significantly high levels of pollution, which have assisted in maintaining the environmental risk index (ERI) at a medium level (0.4–0.6) during the period from 2006–2017. However, these measures have not been adequate enough to manage the external pressure. The ERI has been increasing gradually, calling for timely formulation of demand-specific waste management policies to reduce the possibility of reaching the critical point in near future. With the use of the DPSIR model for ERA, this study has become highly valuable, providing empirical justification to reduce environmental risk from MSW, which is one of the main sources of environmental pollution in the urban areas of developing countries.

show abstract

Section: Methodsmentioning

confidence: 99%

“…The toleration limit for observed inconsistency is valued at 0.1. The judgement responses in the pairwise comparison matrix can be considered to have acceptable consistency if the value for the CR is less than or equal to 10% [ 71 ]. If the CR exceeds this threshold.…”

Section: Methodsmentioning

confidence: 99%

The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania

Kazuva

Zhang

Tong

et al. 2018

IJERPH

View full text Add to dashboard Cite

show abstract

“…The proposed approach uses a scale ranging from 1 to 9 to make judgment for pairwise comparison of the variables ( 28 ). To determine the potential inconsistency in judgment, a consistency ratio ( CR ) is estimated utilizing the eigenvector method ( 29 ). First, a consistency index ( CI ) (used to measure the inconsistency of pairwise comparison) can be estimated using the following equation:…”

Section: Methodsmentioning

confidence: 99%

Vulnerability Assessment during Mass Evacuation: Integrated Microsimulation-Based Evacuation Modeling Approach

Alam

Habib

2019

Transportation Research Record

View full text Add to dashboard Cite

This study develops an integrated microsimulation-based evacuation model that performs a vulnerability assessment of the Halifax Peninsula, Canada during an evacuation. The proposed framework of vulnerability assessment accounts for long-term changes in neighborhood composition in relation to socio-demographic characteristics, residential locations, and vehicle ownership. The results of a large-scale urban systems model and a flood risk model are used to inform the vulnerability assessment. The urban systems model encapsulates long-term household decisions and life stage transitions in measuring social vulnerability. The flood risk model provides information on flood severity and finer network disruptions. In addition, a dynamic traffic assignment-based microsimulation model is developed to assess mobility vulnerability during an evacuation. One of the key contributions of this study is that it utilizes a Bayesian Belief Network modeling approach for vulnerability assessment, while addressing uncertainty and causal relationships between different elements of vulnerability. The results suggest that the Peninsula zones are at a relatively higher risk from a mobility point of view. A sensitivity analysis reveals that clearance time has been found to be the key determinant of the mobility vulnerability during an evacuation. “Presence of female” and “presence of seniors” are found as the two most significant contributors of social vulnerability. Several peripheral zones are at a higher risk because of their proximity to the flood source. The proposed research will help emergency professionals and engineers to develop effective evacuation plans in relation to vulnerable areas.

show abstract

“…AHP is used to determine the weight of each index [54] and weights of oil properties and oil spill position are present respectively. Since the consistency ratio CR [55][56] is less than 0.1 for the weight of each index, according judgment matrix has good consistency, that is, the weight distribution is reasonable.…”

Section: Membership Of Evaluation Indexesmentioning

confidence: 99%

Evaluating pollution degree of oil spills on the sea surface

Zhou¹,

Kou

Hao

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

This article analyses influencing factors of pollution degree of oil spills on the sea surface and establishes corresponding evaluation system, thus combines fuzzy comprehensive evaluation method and analytic hierarchy process to evaluate pollution degree of oil spill accidents in the Bohai Sea. Based on the evaluation system, oil spill accidents in Penglai 19-3 oilfield and Suizhong 36-1 oilfield central platform are classified as serious pollution and light pollution respectively, which is consistent with relevant institutions and scholars, proving the rationality of the evaluation system and parameter selected.

show abstract

A Statistical Criterion of Consistency in the Analytic Hierarchy Process

Cited by 10 publications

References 9 publications

The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania

The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania

Vulnerability Assessment during Mass Evacuation: Integrated Microsimulation-Based Evacuation Modeling Approach

Evaluating pollution degree of oil spills on the sea surface

Contact Info

Product

Resources

About