Keywords
Shanghai hotel price
Regression analysis
Submitted : 2025-07-15
Accepted : 2025-07-30
Published : 2025-08-14
Abstract
This study aims to explore the multiple influences on the price formation of hotels near Shanghai airports, using multiple linear regression and hedonic pricing models to analyze the relevant data. As an international financial center and China’s largest city, the hotel industry in Shanghai has formed a unique value system around the airport, which is not only affected by infrastructure and accessibility, but also significantly influenced by intrinsic characteristics such as service quality and customer evaluation. This paper reveals the recovery and growth of the hotel business after the epidemic, especially the formation mechanism of hotel prices near transport hubs. The findings show that there is a positive correlation between hotel star rating, customer rating, and price, while the distance of the hotel from the nearest bus stop has a significant positive effect on price, which implies that consumers’ evaluation of service quality and convenience plays a key role in hotel price decisions. In addition, the clustering effect of geographic location and proximity to transport hubs also has a significant impact on hotel prices. The hedonic pricing model proposed in this study provides new perspectives for decision makers to develop pricing strategies, emphasizing the impact of consumer preferences and market segmentation on the hotel business. At the same time, this paper also points out the limitations of the current study, such as the timeframe of data collection and the possible omission of key explanatory variables, and future research can further validate these preliminary findings through more extensive data collection and more sophisticated modelling. Overall, this paper provides valuable insights into understanding hotel prices in Shanghai and similar cities, and offers theoretical support and practical guidelines for hotel management, pricing strategies, and market planning. It also provides a rationale for investors when selecting hotels for investment.
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