Price Patterns in Vienna’s Hospitality: Analyzing the Impact of Ratings, Reviews, and Proximity on Hotel Rates

Abstract

This scientific paper presents an empirical research study that aims to investigate the relationships between various factors and room rates within the context of 346 hotels in Vienna listed on booking.com. The research utilized a combination of web content mining and multiple linear regression techniques to collect and analyze data. The variables extracted from the hotel listings included customer rating valence, amount of ratings, star category, distance to town center, and room rates. The statistical analysis employed multiple linear regression to examine the links between the variables and room rates. The results indicated significant links between star category and price, distance to town center and price, amount of customer ratings and price, and the valence of customer ratings and price. These findings provide valuable insights into the factors influencing room rates in the Vienna hotel market and contribute to the understanding of pricing strategies and customer preferences in the context of information systems and tourism.