Materiality of sustainability reports: an environmental performance analysis’ proposal of wind farms in Southern Brazil using the Analytic Hierarchy Process (AHP)

Santos, Fátima Terezinha Silva; Ladwig, Nilzo Ivo; Peixoto, Maria Gabriela Mendonça; Guerra, José Baltazar Salgueirinho Osório de Andrade

doi:10.1007/s10098-022-02440-9

Cited by 2 publications

(3 citation statements)

References 39 publications

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“…The analytic hierarchy process (AHP) was originally proposed by T. L. Saaty for complex systems where decision‐making is difficult to quantify completely (Saaty, 2004a, 2004b). It has since been extended to various fields (Fawzy et al, 2023; Santos et al, 2023; Wang & Fu, 2023). AHP is a systematic analysis method that combines expert qualitative interpretation and quantitative methods to determine the weight of participating factors.…”

Section: Methodsmentioning

confidence: 99%

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Arable land in Northwest China: Dynamics analysis of health and productivity in 2000–2020

Shuchen,

Yimin,

Pingda

et al. 2024

Land Degrad Dev

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Arable land health (ALH) and arable land productivity (ALP) are crucial indicators of agricultural ecological functionality and sustainability. The shift of grain‐producing regions in Northwest China has led to arable land degradation, which endangers both food production and sustainable development. Several studies have focused on arable land quantity, distribution, and regional features, but ALH and sustainable ALP have received little attention. For the first time, we investigated the spatio‐temporal distribution and coupling connection between ALH and ALP in Northwest China (NC) using soil health indicators. Our study revealed the following key findings: (1) A minimal dataset of 12 indicators can efficiently replace the total dataset to evaluate the arable land health index in NC. (2) Over the last 20 years, the high and sub‐high grades of ALH increased by 536.8% and 222.6%, respectively, with a shift toward the northwest. During the specified period, ALH with low health and underutilized grade decreased by 46.01% and 69.4%, respectively, primarily in Xinjiang and Inner Mongolia. At the county level, ALP increased by 26%, primarily in northern Xinjiang and southern Gansu. 71% of counties remained stable, while only 3% experienced a decline. (4) The relationship between ALH and ALP were divided into six coupled groups that form an inverted “U” shape. High‐production areas were generally strongly linked, while low‐production areas were weakly coupled. Over the last 20 years, NC has seen significant improvements in ALH, coinciding with an increase in ALP. However, in most cases, the relationship between ALH and ALP were negative or weak.

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Section: Methodsmentioning

confidence: 99%

“…The analytic hierarchy process (AHP) was originally proposed by T. L. Saaty for complex systems where decision-making is difficult to quantify completely (Saaty, 2004a(Saaty, , 2004b. It has since been extended to various fields (Fawzy et al, 2023;Santos et al, 2023;Wang & Fu, 2023).…”

Section: Datamentioning

confidence: 99%

Arable land in Northwest China: Dynamics analysis of health and productivity in 2000–2020

Shuchen,

Yimin,

Pingda

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

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“…It then consolidates and integrates the factors according to various tiers based on their interdependent impact and association, thus forming a multi-level analytical framework. This model ultimately determines the relative importance of the lowest level in relation to the highest level or the order of relative priority [9][10][11] .The pseudo-code of AHP algorithm is shown in Table 2. .…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

Analysis on influencing factors of taxi driver's decision based on cluster analysis and analytic hierarchy process

Dong,

Fan

2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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In this paper, eight factors affecting taxi drivers' decision-making are divided into two categories by cluster analysis: first, factors affecting drivers' waiting time; The second factor is the one that affects the driver's income. Secondly, this paper uses AHP to establish a hierarchical structure model for analyzing the influencing factors. A large amount of data from Shanghai Pudong Airport and its urban taxis is used to modify the model. In this paper, four factors that are suitable for evaluating taxi drivers' decision-making are finally obtained, including the number of cars queuing, the number of people queuing, the weather, the time slot and the dependent factors that affect drivers' decision-making.

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Materiality of sustainability reports: an environmental performance analysis’ proposal of wind farms in Southern Brazil using the Analytic Hierarchy Process (AHP)

Cited by 2 publications

References 39 publications

Arable land in Northwest China: Dynamics analysis of health and productivity in 2000–2020

Arable land in Northwest China: Dynamics analysis of health and productivity in 2000–2020

Analysis on influencing factors of taxi driver's decision based on cluster analysis and analytic hierarchy process

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