Nature dependent tourism - Combining big data and local knowledge.
Blue economy
Eastern caribbean
Ecosystem services
Nature dependent tourism
User-generated content
Wildlife tourism
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
01 Jul 2023
01 Jul 2023
Historique:
received:
19
09
2022
revised:
10
02
2023
accepted:
06
03
2023
medline:
11
4
2023
pubmed:
20
3
2023
entrez:
19
3
2023
Statut:
ppublish
Résumé
The ability to quantify nature's value for tourism has significant implications for natural resource management and sustainable development policy. This is especially true in the Eastern Caribbean, where many countries are embracing the concept of the Blue Economy. The utilization of user-generated content (UGC) to understand tourist activities and preferences, including the use of artificial intelligence and machine learning approaches, remains at the early stages of development and application. This work describes a new effort which has modelled and mapped multiple nature dependent sectors of the tourism industry across five small island nations. It makes broad use of UGC, while acknowledging the challenges and strengthening the approach with substantive input, correction, and modification from local experts. Our approach to measuring the nature-dependency of tourism is practical and scalable, producing data, maps and statistics of sufficient detail and veracity to support sustainable resource management, marine spatial planning, and the wider promotion of the Blue Economy framework.
Identifiants
pubmed: 36934498
pii: S0301-4797(23)00484-X
doi: 10.1016/j.jenvman.2023.117696
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
117696Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.