Double TFN-Fuzzy DELPHI Datasets in the Selection of Barriers to Sustainable Urban Water Management

Published: 16 August 2020| Version 3 | DOI: 10.17632/xzznxxr99b.3
Contributor:
Egberto Selerio

Description

This data set serves as a supplementary document for the study: “An integrated MCDM approach for analyzing manifold and interdependent barriers to sustainable urban water management.” It contains results from an expert survey conducted in the Philippines. The survey intends to draw information from experts on the relevance of barriers to sustainable urban water management obtained from the literature in the context of a developing country like the Philippines. The survey results were processed using the Double TFN-Fuzzy Delphi Method. This supplemental document presents the following: an initial list of barriers to Sustainable Urban Water Management (SUWM), a complete table pertaining to the data from the results of the Double TFN-Fuzzy Delphi Method.

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Step 1. (Build the initial set of SUWM barriers) The initial set of SUWM barriers are obtained from an exhaustive review of previous literature. In carrying out the review, Boolean search was employed in the Scopus database using the following keywords: ("urban" OR "city") AND "sustain" AND ("water" OR "drain" OR "stormwater" OR "wastewater" OR "irrig") AND ("barrier" OR "obstacle" OR "challenge" OR "difficult"). Scopus was selected because it is currently the largest abstract and citation database of peer-reviewed literature. Out of the search, 111 papers were initially obtained and assessed. The selection criteria employed for screening the papers obtained from the search are as follows: the context of the paper should be dealing with urban water management and the barriers discussed in the paper should be about SUWM. Upon screening the initial list of papers, 72 qualified for the review. Step 2. (Collect opinions of decision group) Because the SUWM barriers were obtained from several literatures, which are conducted from different countries, to identify the barriers that are relevant in the Philippine context, four domain experts in urban water management were consulted. Two (2) of them are department managers in Metropolitan Cebu Water District (MCWD) – the leading water distributor in Metro Cebu, Philippines – and consultants in other urban water institutions in the Philippines. In contrast, the other two (2) respondents are professors of urban development and water management, respectively. Their experience in urban water management ranges from 10 to 15 years. In general, the experts considered herewith are the leading practitioners and academicians in the field of urban water management in the Philippines. To examine the extent of relevance of the SUWM barriers, experts used an interval range, from zero to ten in assessing them, which was facilitated by a developed questionnaire. Step 3. (Establish the triangular fuzzy function) According to the experts’ evaluation, the evaluation values are divided into maximum and minimum groups. The maximum interval value and the minimum interval value present the experts’ most optimistic cognition and conservative cognition of the quantitative score for the criterion, respectively.

Institutions

Cebu Technological University, University of San Jose Recoletos

Categories

Water Management, Fuzzy Computing, Decision Science, Multiple-Criteria Decision Analysis

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