Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination

Image has been widely accepted as a combination of perceived elements that are commonly discrete and static ones. ‘Discrete’ means that the elements are treated as separate ones with each other, with no interactions among them. ‘Static’ means that the elements would not be changed into other forms i...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xuhui Zhang, Chen Zhang, Yanan Li, Ziyu Xu, Zhenfang Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	destination image formation perceived element interactive effect hierarchical structure fusion process urban tourism destination Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b97e943287c94a22b0124170aef8218f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b97e943287c94a22b0124170aef8218f
record_format	dspace
spelling	oai:doaj.org-article:b97e943287c94a22b0124170aef8218f2021-11-11T19:30:37ZHierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination10.3390/su1321118052071-1050https://doaj.org/article/b97e943287c94a22b0124170aef8218f2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11805https://doaj.org/toc/2071-1050Image has been widely accepted as a combination of perceived elements that are commonly discrete and static ones. ‘Discrete’ means that the elements are treated as separate ones with each other, with no interactions among them. ‘Static’ means that the elements would not be changed into other forms in the process of destination image formation. This study, thinking outside the box, tries to explore destination image formation through perceived elements and take their interactions and corresponding changes into account. Machine learning, as the core of artificial intelligence, is applied for data analysis in this study. Urban tourism destinations are targeted because of their variety and abundance of perceived elements. Data are collected from both interview and questionnaire surveys of tourists. Through several phases of analysis, this study finally finds that perceived elements do interact with each other and change into new forms level by level in tourism destination image formation. Specifically, there are four levels from bottom to top in the whole process of destination image formation, i.e., the individual-landscape layer, compound-atmosphere layer, dual-factor layer, and overall-image layer. In the bottom stage, elements are commonly numerous, separate, and concrete. With the interactive effects of the elements, they integrate with each other and generate some new forms in higher levels, which would be more general and abstract. Based on the findings, the dynamic fusion process and pyramid hierarchy of destination image formation are disclosed. This study explores destination image formation from a new perspective, considering perceived elements within a dynamic, synthetic system, and therefore provides practical insights into destination image construction in a more comprehensive and targeted way.Xuhui ZhangChen ZhangYanan LiZiyu XuZhenfang HuangMDPI AGarticledestination image formationperceived elementinteractive effecthierarchical structurefusion processurban tourism destinationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11805, p 11805 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	destination image formation perceived element interactive effect hierarchical structure fusion process urban tourism destination Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	destination image formation perceived element interactive effect hierarchical structure fusion process urban tourism destination Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Xuhui Zhang Chen Zhang Yanan Li Ziyu Xu Zhenfang Huang Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
description	Image has been widely accepted as a combination of perceived elements that are commonly discrete and static ones. ‘Discrete’ means that the elements are treated as separate ones with each other, with no interactions among them. ‘Static’ means that the elements would not be changed into other forms in the process of destination image formation. This study, thinking outside the box, tries to explore destination image formation through perceived elements and take their interactions and corresponding changes into account. Machine learning, as the core of artificial intelligence, is applied for data analysis in this study. Urban tourism destinations are targeted because of their variety and abundance of perceived elements. Data are collected from both interview and questionnaire surveys of tourists. Through several phases of analysis, this study finally finds that perceived elements do interact with each other and change into new forms level by level in tourism destination image formation. Specifically, there are four levels from bottom to top in the whole process of destination image formation, i.e., the individual-landscape layer, compound-atmosphere layer, dual-factor layer, and overall-image layer. In the bottom stage, elements are commonly numerous, separate, and concrete. With the interactive effects of the elements, they integrate with each other and generate some new forms in higher levels, which would be more general and abstract. Based on the findings, the dynamic fusion process and pyramid hierarchy of destination image formation are disclosed. This study explores destination image formation from a new perspective, considering perceived elements within a dynamic, synthetic system, and therefore provides practical insights into destination image construction in a more comprehensive and targeted way.
format	article
author	Xuhui Zhang Chen Zhang Yanan Li Ziyu Xu Zhenfang Huang
author_facet	Xuhui Zhang Chen Zhang Yanan Li Ziyu Xu Zhenfang Huang
author_sort	Xuhui Zhang
title	Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
title_short	Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
title_full	Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
title_fullStr	Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
title_full_unstemmed	Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination
title_sort	hierarchical fusion process of destination image formation: targeting on urban tourism destination
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b97e943287c94a22b0124170aef8218f
work_keys_str_mv	AT xuhuizhang hierarchicalfusionprocessofdestinationimageformationtargetingonurbantourismdestination AT chenzhang hierarchicalfusionprocessofdestinationimageformationtargetingonurbantourismdestination AT yananli hierarchicalfusionprocessofdestinationimageformationtargetingonurbantourismdestination AT ziyuxu hierarchicalfusionprocessofdestinationimageformationtargetingonurbantourismdestination AT zhenfanghuang hierarchicalfusionprocessofdestinationimageformationtargetingonurbantourismdestination
_version_	1718431547647852544

Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination

Ejemplares similares