Big data is already being used to measure, monitor, and manage tourism development, but its potential remains to be fully exploited. This report discusses the trends, opportunities, and challenges in using big data and digitalization in the tourism sector. It highlights how big data is being leveraged for COVID-19 recovery and examines its relationship with statistical frameworks to better measure the economic, social, and environmental impact of tourism. Case studies of partnerships in Asia and the Pacific between the public and private sector demonstrate ways to tap big data.

Of interest to both academics and practitioners, Impact of Industry 4.0 on Sustainable Tourism reveals patterns and projections to provide a discourse on the progression of disruptive and futuristic technologies in the field of sustainable tourism research and practice.

The 2023 edition discusses the region’s economic outlook and macroeconomic challenges at a time of great uncertainty and a slowdown of the global economy, in particular owing to inflationary pressures, capital flow volatility and supply-side bottlenecks. The thematic chapters focus on reviving tourism after the pandemic.

Tourism has been hit hard by the depth and duration of the crisis triggered by the COVID-19 pandemic. Just as the sector was starting to rebound, the economic fallout from Russia’s aggression against Ukraine has dealt a fresh blow to recovery prospects. The 2022 edition of OECD Tourism Trends and Policies analyses tourism performance and policy trends to support recovery across 50 OECD countries and partner economies.

This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.

In the age of digital transformation, the tourism industry faces a pressing challenge: balancing the growing demand for travel with the imperative to protect the environment and preserve local cultures. The rise of digital platforms has revolutionized how people plan, book, and experience travel, but it has also intensified concerns about overtourism, cultural commodification, and environmental degradation. Without thoughtful intervention, these trends threaten to undermine the destinations travelers seek to explore. Promoting Responsible Tourism With Digital Platforms offers a comprehensive solution by exploring how digital platforms can be leveraged to promote responsible travel practices. By examining case studies, theoretical frameworks, and the latest technological advancements, the book provides actionable insights for policymakers, industry professionals, and travelers alike. It serves as a roadmap for integrating responsible tourism principles into the digital landscape, ensuring that tourism remains sustainable and beneficial for all stakeholders.