A Bayesian-based framework for advanced nature-based tourism model

Journal article (2023)

Authors

Roxana Norouzi Isfahani University of Florence
Ahmad Talaee Malmiri University of Tehran
Ahmad BahooToroody University of Florence
M.M. Abaei Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Research Group
Ship Design, Production and Operations (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2023 Roxana Norouzi Isfahani, Ahmad Talaee Malmiri, Ahmad BahooToroody, M.M. Abaei
DOI
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https://doi.org/10.1108/JABES-11-2020-0119
Bayesian network Dynamic modeling Nature-based tourism
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Published Date

2023

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Design, Production and Operations

Abstract

Purpose: Nature-based tourism (NBT) blossoming requires sound monitoring models to maximize its potential in the tourism industry. Cooperation of different segments from nature to economy will lead to a sustainable NBT. Therefore, the qualitative and quantitative relation between these subdivisions has to be investigated. Design/methodology/approach: This paper proposes an advanced NBT model for the design of an optimum tourism system. To this end, Bayesian network (BN) has been implemented to characterize the impact of each subsector on NBT. Findings: The outcomes of this study can help the tourism managers, policymakers and related organizations to find the optimum approach to achieve a continuous improvement in the system. To demonstrate the applicability of the methodology, two cases of observations are considered. Originality/value: The originality of the work is well demonstrated in the literature review of the paper.