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...
- 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 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
09645691 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/1794 |
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 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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 |
bitstream.url.fl_str_mv |
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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. 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.Anfuso, Giorgio-1e00e5c6-4d3a-4aae-a87f-35aec056fe04-0Williams, Allan Thomas-718952e8-42ba-4259-a8ac-95a2af11cea8-0Casas Martínez, Grace-14474a34-01b7-4d49-94bd-a25eec807b74-0Botero Saltaren, Camilo-8f41940f-ad0b-4f1c-b1ee-839b8a8895e6-0Cabrera Hernández, J. A.-a61ed0fb-dbbd-4ee8-9366-ccb55e4770a6-0Pranzini, Enzo-97559a90-f372-428a-861e-ebbf629f2e0a-0engOcean and Coastal ManagementAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Coastal scenic evaluationFuzzy Logic Assessment (FLA)Physical and human parametersTourismEvaluation of the scenic value of 100 beaches in Cuba: Implications for coastal tourism managementArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALEvaluation of the scenic value of 100 beaches in Cuba.pdfEvaluation of the scenic value of 100 beaches in Cuba.pdfapplication/pdf180959https://repositorio.cuc.edu.co/bitstreams/a61c0295-4048-4d7c-b9b4-ca3c70b3946d/download98603ae2b909554a7f2389c915bb2c51MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/27896534-76f2-46d7-92d4-bb5c8816d544/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILEvaluation of the scenic value of 100 beaches in Cuba.pdf.jpgEvaluation of the scenic value of 100 beaches in Cuba.pdf.jpgimage/jpeg41377https://repositorio.cuc.edu.co/bitstreams/2cf86f40-cb82-40cd-92c3-5c3b0ec2f591/downloadf96245613f1ec76fef346159061b631fMD54TEXTEvaluation of the scenic value of 100 beaches in Cuba.pdf.txtEvaluation of the scenic value of 100 beaches in Cuba.pdf.txttext/plain1351https://repositorio.cuc.edu.co/bitstreams/02e8bb92-eeca-47a4-aace-ac9be3f3aa9c/download2d818f356af0d1aeb3620e7720af4cf6MD5511323/1794oai:repositorio.cuc.edu.co:11323/17942024-09-17 14:07:31.406open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |