TY - GEN
T1 - Measuring the level of tourism development based on entropy weight TOPSIS method
AU - Yaojin, Zhou
AU - Xiuli, Wang
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/11/21
Y1 - 2023/11/21
N2 - The tourism industry is a pillar industry of China’s national economy. To further promote the development of China’s tourism industry, it is necessary to measure its development level. This article uses the entropy weighted TOPSIS method to measure the development level of tourism industry in 31 provinces in China (excluding Hong Kong, Macao, and Taiwan) by selecting 10 secondary indicators from 2 categories of tourism industry resources and tourism industry benefits. The research results indicate that the development level of tourism in 31 provinces in China from 2011 to 2019 was relatively stable, with five different types appearing in time evolution, namely leading type, rapid growth type, declining type, lower level type, and fluctuating development type. In spatial evolution, there were higher levels in East China, Central China, and South China, lower levels in Northwest China and Northeast China, middle levels in North China and Southwest China, and faster growth rates in Southwest China. Based on the research results, three countermeasures have been proposed to improve the development level of the tourism industry. One is to accelerate the development of digital culture and tourism. The second is to strengthen rural cultural tourism. The third is to optimize tourism industry policies and enhance the vitality of tourism industry development.
AB - The tourism industry is a pillar industry of China’s national economy. To further promote the development of China’s tourism industry, it is necessary to measure its development level. This article uses the entropy weighted TOPSIS method to measure the development level of tourism industry in 31 provinces in China (excluding Hong Kong, Macao, and Taiwan) by selecting 10 secondary indicators from 2 categories of tourism industry resources and tourism industry benefits. The research results indicate that the development level of tourism in 31 provinces in China from 2011 to 2019 was relatively stable, with five different types appearing in time evolution, namely leading type, rapid growth type, declining type, lower level type, and fluctuating development type. In spatial evolution, there were higher levels in East China, Central China, and South China, lower levels in Northwest China and Northeast China, middle levels in North China and Southwest China, and faster growth rates in Southwest China. Based on the research results, three countermeasures have been proposed to improve the development level of the tourism industry. One is to accelerate the development of digital culture and tourism. The second is to strengthen rural cultural tourism. The third is to optimize tourism industry policies and enhance the vitality of tourism industry development.
KW - digital culture
KW - entropy weighted TOPSIS method
KW - spatiotemporal evolution
KW - tourism
KW - tourism
UR - https://www.scopus.com/pages/publications/85182592215
U2 - 10.1145/3635175.3635218
DO - 10.1145/3635175.3635218
M3 - 会议稿件
AN - SCOPUS:85182592215
T3 - ACM International Conference Proceeding Series
SP - 236
EP - 241
BT - ICIIP 2023 - Proceedings of the 2023 8th International Conference on Intelligent Information Processing
PB - Association for Computing Machinery
T2 - 8th International Conference on Intelligent Information Processing, ICIIP 2023
Y2 - 21 November 2023 through 22 November 2023
ER -