Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management

This paper provides coastal scenic values of 100 sites along coastal Cuba by the use of a weighted, fuzzy logic, based checklist containing 26 physical/human factors. Sites were categorized into five classes from Class I, top grade scenery, to Class V, poor scenery. Seven beaches belonged to Class I...

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Autores:
Anfuso, Giorgio
Williams, Allan Thomas
Casas Martínez, Grace
Botero Saltaren, Camilo
Cabrera Hernández, J. A.
Pranzini, Enzo
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/1794
Acceso en línea:
https://hdl.handle.net/11323/1794
https://doi.org/10.1016/j.ocecoaman.2017.03.029
https://repositorio.cuc.edu.co/
Palabra clave:
Coastal scenic evaluation
Fuzzy Logic Assessment (FLA)
Physical and human parameters
Tourism
Rights
openAccess
License
Atribución – No comercial – Compartir igual
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dc.title.eng.fl_str_mv Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
title Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
spellingShingle Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
Coastal scenic evaluation
Fuzzy Logic Assessment (FLA)
Physical and human parameters
Tourism
title_short Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
title_full Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
title_fullStr Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
title_full_unstemmed Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
title_sort Evaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism management
dc.creator.fl_str_mv Anfuso, Giorgio
Williams, Allan Thomas
Casas Martínez, Grace
Botero Saltaren, Camilo
Cabrera Hernández, J. A.
Pranzini, Enzo
dc.contributor.author.spa.fl_str_mv Anfuso, Giorgio
Williams, Allan Thomas
Casas Martínez, Grace
Botero Saltaren, Camilo
Cabrera Hernández, J. A.
Pranzini, Enzo
dc.subject.eng.fl_str_mv Coastal scenic evaluation
Fuzzy Logic Assessment (FLA)
Physical and human parameters
Tourism
topic Coastal scenic evaluation
Fuzzy Logic Assessment (FLA)
Physical and human parameters
Tourism
description This paper provides coastal scenic values of 100 sites along coastal Cuba by the use of a weighted, fuzzy logic, based checklist containing 26 physical/human factors. Sites were categorized into five classes from Class I, top grade scenery, to Class V, poor scenery. Seven beaches belonged to Class I, e.g. rural areas with a low impact of human activities and high scores of natural parameters. Most Class II beaches were located at international resort areas in cays having white coral sand beaches, turquoise water and vigorous vegetation together with a low impact of tourist developments because of appropriate location and design. Classes III, IV and V presented a wide distribution and their lower scores were linked to a poor environmental setting. Results allow for improvements to beach management plans to be formulated for current international tourist destinations (in cays) and other potentially attractive coastal areas at new developing tourist destinations.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017-03-31
dc.date.accessioned.none.fl_str_mv 2018-11-23T23:30:58Z
dc.date.available.none.fl_str_mv 2018-11-23T23:30:58Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.identifier.issn.spa.fl_str_mv 09645691
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dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.ocecoaman.2017.03.029
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 09645691
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/1794
https://doi.org/10.1016/j.ocecoaman.2017.03.029
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv Atribución – No comercial – Compartir igual
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv Atribución – No comercial – Compartir igual
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Ocean and Coastal Management
institution Corporación Universidad de la Costa
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spelling Anfuso, GiorgioWilliams, Allan ThomasCasas Martínez, GraceBotero Saltaren, CamiloCabrera Hernández, J. A.Pranzini, Enzo2018-11-23T23:30:58Z2018-11-23T23:30:58Z2017-03-3109645691https://hdl.handle.net/11323/1794https://doi.org/10.1016/j.ocecoaman.2017.03.029Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper provides coastal scenic values of 100 sites along coastal Cuba by the use of a weighted, fuzzy logic, based checklist containing 26 physical/human factors. Sites were categorized into five classes from Class I, top grade scenery, to Class V, poor scenery. Seven beaches belonged to Class I, e.g. rural areas with a low impact of human activities and high scores of natural parameters. Most Class II beaches were located at international resort areas in cays having white coral sand beaches, turquoise water and vigorous vegetation together with a low impact of tourist developments because of appropriate location and design. 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