Evaluation system of urban smart tourism competitiveness based on AHP-entropy weight method

Abstract

In order to quantitatively evaluate the competitiveness of smart tourism cities efficiently and reasonably, a smart tourism city competitiveness evaluation system composed of four primary indicators such as infrastructure, economic basis, scientific and technological basis and environmental basis and 15 secondary indicators such as the number of mobile phone users at the end of the year and the number of urban Internet users is constructed, which is comprehensively weighted by hierarchical analysis method and entropy weight method. The empirical case of competitiveness evaluation of 13 cities in Jiangsu Province shows that the evaluation system can quantitatively evaluate the competitiveness of urban smart tourism comprehensively and objectively. The main factors affecting the competitiveness of urban smart tourism are urban infrastructure construction and economic foundation. Increasing investment in 5G, artificial intelligence and other information technology and enhancing urban economic strength are the key strategies to improve the competitiveness of urban tourism.