Network characteristics of drive tourism destinations: An application
of network analysis in tourism
H. Shih. Tourism Management, 27 (5):
1029-1039(2006/10)
Аннотация
This study presents a quantitative method for investigating the network
characteristics of drive tourism destinations with the help of methodologies
derived from the network analysis, which offers numerous techniques
and indicators through measuring the links among nodes to demonstrate
the structural patterns of connected systems. More precisely, this
investigation acquires the structural configuration of each destination
within a particular area by measuring the indicators of network analysis,
including degree centrality, closeness centrality, betweenness centrality
and structural holes. Then, this study empirically tests a sample
of drive tourists taken from 16 destinations in Nantou, Taiwan, and
suggests the appropriate tourist facilities and services of each
particular destination based on the structural characteristics relating
to its network position on various touring routes. A number of recommendations
are made regarding the location and type of tourist facilities to
be offered and promoted based on the results of the network analysis.
%0 Journal Article
%1 Shih2006/10
%A Shih, Hsin-Yu
%D 2006/10
%J Tourism Management
%K Destination; Drive Network analysis; tourism
%N 5
%P 1029-1039
%T Network characteristics of drive tourism destinations: An application
of network analysis in tourism
%V 27
%X This study presents a quantitative method for investigating the network
characteristics of drive tourism destinations with the help of methodologies
derived from the network analysis, which offers numerous techniques
and indicators through measuring the links among nodes to demonstrate
the structural patterns of connected systems. More precisely, this
investigation acquires the structural configuration of each destination
within a particular area by measuring the indicators of network analysis,
including degree centrality, closeness centrality, betweenness centrality
and structural holes. Then, this study empirically tests a sample
of drive tourists taken from 16 destinations in Nantou, Taiwan, and
suggests the appropriate tourist facilities and services of each
particular destination based on the structural characteristics relating
to its network position on various touring routes. A number of recommendations
are made regarding the location and type of tourist facilities to
be offered and promoted based on the results of the network analysis.
@article{Shih2006/10,
abstract = {This study presents a quantitative method for investigating the network
characteristics of drive tourism destinations with the help of methodologies
derived from the network analysis, which offers numerous techniques
and indicators through measuring the links among nodes to demonstrate
the structural patterns of connected systems. More precisely, this
investigation acquires the structural configuration of each destination
within a particular area by measuring the indicators of network analysis,
including degree centrality, closeness centrality, betweenness centrality
and structural holes. Then, this study empirically tests a sample
of drive tourists taken from 16 destinations in Nantou, Taiwan, and
suggests the appropriate tourist facilities and services of each
particular destination based on the structural characteristics relating
to its network position on various touring routes. A number of recommendations
are made regarding the location and type of tourist facilities to
be offered and promoted based on the results of the network analysis.},
added-at = {2008-08-31T18:03:07.000+0200},
author = {Shih, Hsin-Yu},
biburl = {https://www.bibsonomy.org/bibtex/2276de3a5e87c86a03d8a77a7111477d2/jomiralb},
description = {Old biblio},
interhash = {c4b45f98f3a4d76a14629826727fa4b8},
intrahash = {276de3a5e87c86a03d8a77a7111477d2},
journal = {Tourism Management},
keywords = {Destination; Drive Network analysis; tourism},
number = 5,
owner = {oriol},
pages = {1029-1039},
timestamp = {2008-08-31T18:03:22.000+0200},
title = {Network characteristics of drive tourism destinations: An application
of network analysis in tourism},
volume = 27,
year = {2006/10}
}