scholarly journals STRATEGIC FORESIGHT USING AN ANALYTIC HIERARCHY PROCESS: ENVIRONMENTAL IMPACT ASSESSMENT OF THE ELECTRIC GRID IN 2025.

Author(s):  
Ronald Mac-Ginty ◽  
Astrid M Oddershede ◽  
Raúl Carrasco ◽  
Manuel Vargas
2018 ◽  
pp. 84-91

Selección de un método para la evaluación del impacto social usando AHP Selection of a method for social impact assessment using AHP Alexi Delgado1, 2, I. Romero1 1 Instituto Universitario de Investigación de Ingeniería del Agua y Medio Ambiente (IIAMA), Universitat Politècnica de València, España. 2 Universidad de Ciencias y Humanidades, Perú. DOI: https://doi.org/10.33017/RevECIPeru2015.0013/ Resumen El incremento de conflictos socio-ambientales durante la planificación o la ejecución de proyectos hacen que la evaluación del impacto social sea cada vez más necesaria y objetiva con el fin de prevenir posibles conflictos sociales. En este artículo realizamos un estudio para seleccionar la mejor alternativa metodológica disponible y aplicable a la evaluación del impacto social – social impact assessment (SIA) en proyectos y programas. La selección fue realizada aplicando la metodología del proceso analítico jerárquico - analytic hierarchy process (AHP). En este estudio se propusieron cuatro métodos alternativos para la evaluación del impacto social: Delphi, AHP, FAHP y agrupación Grey, los cuales fueron jerarquizados de acuerdo a los criterios de: Cuantificación, robustez y estandarización. Para realizar la selección usando AHP  se contó con la participación de un panel de cuatro expertos seleccionados para este estudio. Los resultados mostraron que el mejor método para la evaluación del impacto social es la Evaluación grey complementado con el método Delphi y otros procedimientos cualitativos durante la fase de estudio de campo y recolección de información. Descriptores: Evaluación del impacto social, Proceso analítico jerárquico (AHP) Abstract Increase of socio-environmental conflicts during the planning or execution of projects makes social impact assessment is increasingly necessary and objective in order to prevent potential social conflicts. In this paper, we present a study to select the best alternative methodology available and applicable to social impact assessment (SIA) on projects and programs. The selection was conducted using the methodology of analytic hierarchy process (AHP). In this study four alternative methods for social impact assessment were proposed: Delphi, AHP, FAHP and Grey clustering, which were ranked according to criteria: Quantification, robustness and standardization. To make the selection using AHP, we provided of a panel of four experts selected for this study. The results showed that the best method for social impact assessment is the Grey clustering complemented with Delphi method and other qualitative procedures during field study and data collection. Keywords: Social Impact Assessment (SIA), Analytic Hierarchy Process (AHP).


2013 ◽  
Vol 437 ◽  
pp. 1038-1045
Author(s):  
Bin Bin Tang ◽  
Bao Chen Liu ◽  
Zhi Hua Deng

The environmental post evaluation index system is proposed to evaluate the cascade hydropower project`s post environmental impact assessment. We also constructed an evaluation method based on Matter-element and Analytic-hierarchy coupling model (FME-AHP) to apply to the environmental impact assessment of Yuan Shui cascade hydropower stations. It can test the index system and evaluation method is scientific and validity or not. We hope we can provide some experience and reference for the environmental impact assessment of the hydropower exploitation in key river basin both in China and abroad.


2019 ◽  
Vol 26 (2) ◽  
pp. 355-378 ◽  
Author(s):  
Chao Tian ◽  
Juan-juan Peng ◽  
Wen-yu Zhang ◽  
Shuai Zhang ◽  
Jian-qiang Wang

With the increasing awareness of environmental protection, the environmental impact assessment (EIA) of tourism attraction problems has attracted extensive attention from all over the world. The purpose of this study is to develop an integrated decision-making method for EIA of tourism attractions in China by using the improved analytic hierarchy process (AHP) method and the extended picture fuzzy preference ranking organization method for enrichment evaluations (PROMETHEE) II method. Herein, picture fuzzy numbers (PFNs) are used to describe decisionmakers’ preference, which can precisely express uncertain and hesitant information in the decisionmaking process. Then the improved AHP method based on expert mean assessment is used to obtain the weights of EIA of tourism attractions, which can reduce the spiteful assessment in the traditional AHP method. Based on the results of the improved AHP method, the picture fuzzy PROMETHEE II method, which can consider the psychological behavior of decision-makers, is applied to assess candidate tourism attractions. Finally, an example of EIA of tourism attractions in China is provided to verify the effectiveness of the developed approach and the credibility of the results.


Author(s):  
C. Y. Ng ◽  
K. B. Chuah

Today “ecodesign” is a necessary consideration in the product development process. With increasing general awareness of the need for environmental production and more stringent regulatory requirements, manufacturers have to try to minimize their environmental impact. Life-cycle assessment (LCA) methodology is a generally accepted quantitative approach that can be applied to support environmental impact evaluations of a product. However, despite the time-consuming and resource-consuming attributes of the LCA, it has difficulty to deal with uncertain information. Therefore, LCA is yet to be a practical approach for environmental impact evaluation, particularly, during new product development (NPD). This paper proposes an approach to evaluate the environmental performance of design alternatives during NPD. The use of multiple criteria decision-making (MCDM) approaches with LCA methodology for the evaluation of design alternatives’ environmental performance during NPD processes is first discussed. The proposed approach integrates analytic hierarchy process (AHP) and fuzzy set theory (FST) with evidential reasoning (ER) in the evaluation of environmental performance to prioritize different design options. A case study is described to illustrate the use of the proposed method.


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