Applications Monitoring and Forecasting Tourist Activities with Big Data

include information technologies in tourism, destination marketing, search engine marketing, forecasting, and big data analytics. Yang Yang, PhD, is assistant professor in the School of Tourism and Hospitality Management at Temple University. His areas of research interest include tourism demand analysis, tourist behavior, and location analysis in the hospitality and tourism industry. 2 Driven by Moore’s Law of technology advancement, various electronic devices that are used by tourists can provide large amounts of “big data”, which can be captured and processed to monitor and predict tourist activities. This chapter provides a conceptual framework that connects the types of big data with stages of travel. This study reviews literature on the use of big data sources in the tourism industry, including data gathered from search queries, Web analytics, customer reviews, location tracking data, and social media. Most existing studies have focused on building behavioral models and validating correlational relationships between travel behavior and big data. Research on personalization, optimization, and resource allocation i