scholarly journals Urban sustainability assessment framework development: The ranking and weighting of sustainability indicators using analytic hierarchy process

2019 ◽  
Vol 44 ◽  
pp. 356-366 ◽  
Author(s):  
Raed Fawzi Mohammed Ameen ◽  
Monjur Mourshed
2018 ◽  
Vol 10 (11) ◽  
pp. 4101 ◽  
Author(s):  
Susana Martín-Fernández ◽  
Adrián Gómez-Serrano ◽  
Eugenio Martínez-Falero ◽  
Cristina Pascual

This paper compares two pairwise comparison methods, the analytic hierarchy process (AHP) and a utility theory based method (UTB method), for sustainability assessment in forest management at the local level. Six alternatives were ranked, corresponding to six different types of forest management in the Sierra de Guadarrama National Park in the Madrid Region in Spain. The methods were tested by postgraduate students enrolled in a “Decision Support Systems” course at Universidad Politécnica de Madrid. Three sustainability indicators were considered: structural diversity, timber yield, and amount of biomass. The utility theory based method was the first to be compared, which is implemented in the computer program SILVANET. For each pair of alternatives, the students were asked which one they considered to be more sustainable. In the case of the Analytic Hierarchy Process, the students compared the indicators and the alternatives for each indicator. The Spearman’s correlation coefficient indicated that there was no correlation between the rankings for most of the students. The results revealed that the convergence in opinion in the AHP method was higher than in the utility based method for a low number of participants, and distinguished the differences between the alternatives more accurately. However in the case of the UTB method, the participants considered sustainability as a whole and made a more context-based comparison.


Author(s):  
Lanndon Ocampo ◽  
Van Gaitano Vergara ◽  
Carlito Impas ◽  
Jose Arvin Tordillo ◽  
Joey Pastoril

<p class="Els-Abstract-text"><span lang="EN-US">This paper identifies critical indicators for sustainable manufacturing that could be adopted in sustainability assessment at firm level. Previous works in literature suffered from either lack of being comprehensive or being operational or both. The manufacturing indicator set of the US NIST framework was used because of its detailed and wide-ranging exposition of the triple-bottom line. The proposed approach is to attach priorities on the elements of the NIST framework in order to prioritize sustainability indicators. Following the hierarchical structure of the framework, analytic hierarchy process (AHP) was adopted in this work. Three domain decision-makers who have sufficient international exposure on manufacturing policy development and experience in managing manufacturing firms were asked to elucidate judgments on the elements of the framework based on the context of the AHP. The most critical indicators in sustainable manufacturing are presented in this work. Results show that socio-economic indicators are highly relevant in sustainable manufacturing.</span></p>


2019 ◽  
Vol 12 (1) ◽  
pp. 301 ◽  
Author(s):  
Hyung-Sook Lee ◽  
Eun-Yeong Park

With the increasing interest in integrative sustainable development, there has been a strong need for a landscape sustainability assessment tool independent from the existing green building rating system. This study aimed to establish an assessment model to objectively evaluate landscape sustainability using an analytic hierarchy process (AHP). Through an extensive literature review and expert survey, an initial list of assessment items was derived and used to set up an AHP model. An AHP survey with landscape architects and architects/engineers was then conducted to determine the importance of the assessment factors. In addition, the model was applied to three projects that were previously certified by a green building rating system in Korea. The AHP results showed that “site context” ranked as the most important factor of landscape sustainability followed by “soil and vegetation,” “maintenance,” “water,” “health and wellbeing,” and “materials.” Among the 20 assessment factors, “monitoring plan” was evaluated as the most important index, followed by “protection of cultural heritage” and “long-term management plan.” Landscape architects evaluated “soil and vegetation” as the most important in the assessment, while the engineers/architects group rated “site context” as the most important. When tested by applying them to the previously certified projects, the developed factors provided more objective and detailed information on landscape sustainability.


Recycling ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 45 ◽  
Author(s):  
Nina Tsydenova ◽  
Alethia Vázquez Morillas ◽  
Arely Cruz Salas

Mexico City introduced the new legal waste norm Norma NADF-024-AMBT-2013 in July 2017. This report compares the proposed system with three alternatives: a baseline scenario with composting of organics, a scenario which involves anaerobic digestion of organics, and a mechanical–biological treatment scenario with no source separation. The comparison was done using an Analytic Hierarchy Process. Eleven different indicators were chosen for the evaluation: general waste performance indicators (landfill disposal and recycling rates), environmental indicators (greenhouse gas emissions, acid gas emissions, Biological Oxygen Demand (BOD), and mercury content in water and soil), economic indicators (investment and operation costs) ($ per Mg municipal solid waste (MSW)), and social indicators (jobs created and social acceptance). The scenario ranking based on pairwise comparison made by 5 experts from Mexico City showed that the most sustainable scenario, environmentally, socially, and economically, is that which corresponds to Norma NADF-024-AMBT-2013 with a ranking priority of 30.78%.


2015 ◽  
Vol 3 (1) ◽  
pp. 7-16
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark

This paper proposes an evaluation framework of input elements in developing sustainable manufacturing (SM) initiatives using the hierarchical structure of sustainability indicators set developed by the US National Institute of Standards and Technology (US NIST) and the analytic hierarchy process (AHP). Determining priority input elements in the development process is essential to ensure that SM initiatives are responsive to the demands of sustainability at firm level. This evaluation exposes a challenge due to the multi-criteria nature of the problem and the presence of subjective criteria with limited available information on their measurement systems. The use of AHP in the context of the hierarchical structure of the US NIST sustainability indicators set provides a comprehensive and promising approach in identifying fundamental inputs in developing effective programs and initiatives that address sustainability. The contribution of this work lies on presenting a framework that could guide decision-makers, in a way that is simple and comprehensive, in their attempt to promote sustainability. Results and implications are reported in this work.


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