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The Distribution and Accessibility of Elements of Tourism in Historic and Cultural Cities.

Authors :
Hsu, Wei-Ling
Chang, Yi-Jheng
Mou, Lin
Huang, Juan-Wen
Liu, Hsin-Lung
Source :
Big Data & Cognitive Computing; Mar2024, Vol. 8 Issue 3, p29, 13p
Publication Year :
2024

Abstract

Historic urban areas are the foundations of urban development. Due to rapid urbanization, the sustainable development of historic urban areas has become challenging for many cities. Elements of tourism and tourism service facilities play an important role in the sustainable development of historic areas. This study analyzed policies related to tourism in Panguifang and Meixian districts in Meizhou, Guangdong, China. Kernel density estimation was used to study the clustering characteristics of tourism elements through point of interest (POI) data, while space syntax was used to study the accessibility of roads. In addition, the Pearson correlation coefficient and regression were used to analyze the correlation between the elements and accessibility. The results show the following: (1) the overall number of tourism elements was high on the western side of the districts and low on the eastern one, and the elements were predominantly distributed along the main transportation arteries; (2) according to the integration degree and depth value, the western side was easier to access than the eastern one; and (3) the depth value of the area negatively correlated with kernel density, while the degree of integration positively correlated with it. Based on the results, the study put forward measures for optimizing the elements of tourism in Meizhou's historic urban area to improve cultural tourism and emphasize the importance of the elements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25042289
Volume :
8
Issue :
3
Database :
Complementary Index
Journal :
Big Data & Cognitive Computing
Publication Type :
Academic Journal
Accession number :
176272356
Full Text :
https://doi.org/10.3390/bdcc8030029