Abstract
AbstractUrban tourism promotes the economic growth of a nation around the year through direct and indirect incomes. In recent years, the digital economy has impacted the growth of urban tourism through hassle-free money transactions and expenditures. This article, therefore, introduces a Multi-Criteria Fuzzy-based Decision-Making Method (MCFDMM) for validating the impact of the digital economy impact over tourism. The study introduces a new framework, DLFDSS-RRM, that uses deep learning and fuzzy decision support systems for residence right management, enhancing resource allocation, security, and resident satisfaction in urban residential communities. The criteria such as expenses, positive response, and repeated payments are validated by the tourists across their travel plan. These conditions satisfying the tourist’s expectations are estimated based on their reviews of economic conditions are validated. The validation is performed against the growth of the country from urban tourism. The fuzzy process validates the growth of the country between two successive financial quarters based on the above conditions. In the condition analysis, the fuzzy process identifies the least derivatives contributing to minimal economic growth. This is reversed using the hiking condition that occurs in any quarter and hinders economic growth. Therefore, the process is validated using the metrics growth rate, condition satisfaction, analysis rate, analysis time, and unrelated assessment. The comparative analysis across various models reveals growth rates ranging from 0.263 to 0.4055, condition satisfaction percentages from 53.747 to 74.351, and analysis rates from 0.275 to 0.4662.
Funder
Provincial Social Science Foundation of Jilin Province, China
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Amin, S.B., Taghizadeh-Hesary, F.: Tourism, sustainability, and the economy in Bangladesh: the innovation connection amidst COVID-19. Econ. Anal. Policy. 79, 153–167 (2023)
2. Kim, Y.R., Williams, A.M., Park, S., Chen, J.L.: Spatial spillovers of agglomeration economies and productivity in the tourism industry: the case of the UK. Tour. Manag. 82, 104201 (2021)
3. Wang, J., Huang, X., Gong, Z., Cao, K.: Dynamic assessment of tourism carrying capacity and its impacts on tourism economic growth in urban tourism destinations in China. J. Destin. Mark. Manag. 15, 100383 (2020)
4. Zhou, B., Wen, Z., Yang, Y.: Agglomerating or dispersing? Spatial effects of high-speed trains on regional tourism economies. Tour. Manag. 87, 104392 (2021)
5. Lei, K., Wen, C., Wang, X.: Research on the coordinated development of tourism economy based on embedded dynamic data. Microprocess. Microsyst. 82, 103933 (2021)