Tourism development at World Heritage Sites.

2019 ◽  
pp. 34-48
Author(s):  
T. Jimura
Keyword(s):  
Tourism Development ◽  
World Heritage ◽  
World Heritage Sites ◽  
Heritage Sites

scholarly journals Indonesia’s Tourism Sector Is Ready To Skyrocket After The COVID-19 Pandemic

2021 ◽  
Author(s):  
Angelia
Keyword(s):  
Ethnic Groups ◽  
Tourism Development ◽  
World Heritage ◽  
World Heritage Sites ◽  
Heritage Sites ◽  
The Third ◽  
Tourism Sector ◽  
Thousand Islands

Indonesia is a country that is rich in diversity. Indonesia's diversity, which includes more than 17 thousand islands, more than 300 ethnic groups, more than 700 languages, world heritage sites, and the third largest biodiversity, is a great potential for tourism development (Tayibnapis and Sundarini 2020).

Cultural Heritage and Tourism Development

2020 ◽  
pp. 194-204
Author(s):  
Jyoti Kumar Chandel ◽  
Priyanshu Sharma
Keyword(s):  
Cultural Heritage ◽  
Tourism Development ◽  
World Heritage ◽  
Valuable Insight ◽  
Unesco World Heritage ◽  
Average Growth ◽  
World Heritage Sites ◽  
Heritage Sites ◽  
Set Up ◽  
Insight Into

This chapter aims to offer valuable insight into different aspects of cultural heritage, heritage tourism, and status of cultural tourism development in the state of Rajasthan, India. Status of UNESCO World Heritage sites has been examined from the trends of visitors and revenue generation. Results of data analysis indicate the very slow annual average growth rate of international tourists to UNESCO World Heritage sites while for domestic tourists, this rate is encouraging and progressive. Institutional set up to manage heritage in Rajasthan has been examined. Important challenges faced by heritage have been described.

Factors Influencing Residents’ Perceptions toward Tourism Development: Differences across Rural and Urban World Heritage Sites

2016 ◽  
Vol 56 (6) ◽  
pp. 760-775 ◽  
Author(s):  
S. Mostafa Rasoolimanesh ◽  
José L. Roldán ◽  
Mastura Jaafar ◽  
T. Ramayah
Keyword(s):  
Community Involvement ◽  
Structural Equation ◽  
Tourism Development ◽  
World Heritage ◽  
Equation Modeling ◽  
World Heritage Sites ◽  
Heritage Sites ◽  
Factors Influencing ◽  
Rural And Urban ◽  
Advanced Analysis

This article compares the effects of factors influencing residents’ perceptions toward tourism development in urban and rural World Heritage Sites (WHSs). This study has been conducted in the rural Lenggong and urban George Town WHSs in Malaysia. Partial least squares–structural equation modeling, using a number of recently developed advanced analysis methods, has been used to assess the proposed measurement and structural models, and to compare the relationships between the two groups. The results of this study reveal significant differences between the effects of economic gain and community involvement on residents’ perceptions in rural and urban contexts. However, the findings do not support differences between the effects of community attachment and environmental attitudes on residents’ perceptions. This study makes a significant theoretical contribution by comparing rural and urban WHS residents in the developing world. Furthermore, this study has a number of practical implications for the local authorities.

scholarly journals Spatiotemporal Changes and Simulation of the Architectural Ethnicity at World Heritage Sites under Tourism Development

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xi Yang ◽  
Cong Peng ◽  
Xueling Jiang ◽  
Juan Wang ◽  
Jun Liu
Keyword(s):  
Spatial Distribution ◽  
Tourism Development ◽  
Coupling Model ◽  
World Heritage ◽  
World Heritage Site ◽  
Distribution Data ◽  
World Heritage Sites ◽  
Factors Affecting ◽  
Heritage Sites ◽  
Heritage Site

This study was the first to integrate the quantitative analysis and simulation of spatiotemporal processes into research on the ethnicity of tourist destinations. Selecting the world heritage site of Jiuzhaigou in China as a case study, we employed remote sensing images and field observation to obtain the spatial distribution data of the site’s architectural ethnicity of 2005 and 2015. Logistic regression analysis was used to determine the mechanism driving changes in architectural ethnicity. Then, we proposed a Logistic-CA-Markov coupling model to analyse architectural ethnicity transformations and simulate the spatiotemporal patterns of the ethnicity of architecture at the site in 2025 and 2035. It was found that from 2005 to 2015, the overall architectural ethnicity at the heritage site trended downwards and displayed an uneven spatial distribution: weak ethnicity in the west and strong in the east. A tight relationship was found between the ethnicity of heritage architecture and the level of tourism development although the ethnicity of tourism architecture was weaker than that of nontourism architecture, and the ethnicity of tourism architecture was continuously strengthening. Factors affecting spatial changes in architectural ethnicity mainly included altitude, slope, distance from main transport lands and waters, and the original type of ethnicity. It is expected that, from 2015 to 2035, the overall architectural ethnicity in Jiuzhaigou will increase.

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