Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 29, 2024


Pages


DOI

Article

Research on Intelligent Service System Design and Technological Innovation of Cultural Tourism in Anhui Province in the Era of Low Altitude Economy

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Authors

Yan Li Affiliation:
School of Management Engineering, Anhui Institute of Information Technology, Wuhu, Anhui, 241199, China
and Jixin Wang Affiliation:
Faculty of General Education and Foreign Languages, Anhui Institute of Information Technology, Wuhu, Anhui, 241199, China


Abstract

The low-altitude economy brings new opportunities for the development of tourism, and the demand for regional cultural tourism to enhance its services and improve tourists’ satisfaction is becoming more and more urgent. Taking the cultural tourism service system in Anhui Province as an example, the study extracts and summarises tourists’ demand indicators based on the Kano model and stakeholder theory and classifies them into four types, namely, anticipatory, basic, undifferentiated, and glamorous demand, through the Better-Worse coefficient. Subsequently, the demand indicators were calculated and second-ordered using demand sensitivity. By analyzing the importance of different types and aspects of needs, the priority of tourists’ needs was determined. Based on the conclusions obtained from the analysis of tourists’ needs, an intelligent service system for cultural tourism in Anhui Province is constructed, and a cultural tourism blueprint and information architecture are designed. The demand analysis points out that the most important aspect of intelligent services for cultural tourism in Anhui Province is to satisfy anticipatory needs while prioritizing basic needs. It is possible to moderately relax or slow down the satisfaction of undifferentiated needs of tourists and put the design focus on the service design of glamour needs.


Keywords

Kano model, Better-Worse coefficient, Demand sensitivity, Tourism services., 97P10


Citation

Li, Y. & Wang, J. (2024). Research on intelligent service system design and technological innovation of cultural tourism in anhui province in the era of low altitude economy. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3663

Published by: Engineering Journals

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