A heuristic fuzzy algorithm for assessing and managing tourism sustainability

“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Su...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Vol. 24; no. 6; pp. 4027 - 4040
Main Authors: Andria, Joseph, di Tollo, Giacomo, Pesenti, Raffaele
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020
Springer Nature B.V
Subjects:
Algorithms
Artificial Intelligence
Climate change
Community
Computational Intelligence
Control
Correlation analysis
Economic growth
Engineering
Fuzzy logic
Level indicators
Management decisions
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Quality of life
Robotics
Smart cities
Sustainability
Sustainable development
Sustainable tourism
Urban planning
Variables
Fuzzy sets
Multi-objective optimization
Evolutionary algorithms
Sustainability
Threshold accepting
ISSN:1432-7643, 1433-7479
Online Access:Get full text
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Summary:“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Sustainability assessment is a major challenge due to the multidisciplinary aspects involved that make the evaluation process complex and hinder the effectiveness of available monitoring tools. To achieve the assessment objective, we introduce an enhanced fuzzy logic-based framework for handling the inherent uncertainty and vagueness of the involved variables: we apply our approach to Italy, and we compare it with two other sustainability methodologies. We also perform a correlation analysis to assess the relationship between our ranking results and the attained quality of life scores. Our approach ensures a high level of versatility that makes its use possible jointly with (or alternatively to) other existing methodologies such as the Global Sustainable Tourism Council Criteria and the United Nations World Tourism Organization destination-level indicators.
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ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-019-04170-5