A Study of Changes in Tourism Consumption Behaviour and Its Cybersecurity Impact Based on Time Series Analysis

Abstract

This study utilizes time series analysis to elucidate the dynamic changes in tourism consumption behavior across different time dimensions. It envisions exploring the long-term relationships and causal impacts between parameters within the tourism industry and cybersecurity. Long-term trends reflect the development direction and potential of the tourism consumption market, while short-term fluctuations are influenced by unexpected events or seasonal factors. Periodic changes, on the other hand, reflect the patterns of holiday effects and economic cycles. Simultaneously, this paper analyzes the impact of cybersecurity risks on tourism consumption behavior, exploring the pathways and extent of these risks' influence on tourists' trust and purchase intention from dimensions such as tourism information system security, online payment security, and tourist personal information security. This research provides a scientific basis for cybersecurity management in the tourism industry and offers theoretical support and practical guidance for the sustainable development of the tourism industry.