This volume takes the reader through the origins of regenerative tourism and how artificial intelligence can be utilised to develop and maintain green tourism. Chapters examine everything from marketing, data mapping, employment opportunities, cultural issues as well as what the future holds for tourism to give back to countries.

This volume takes the reader through the origins of regenerative tourism and how artificial intelligence can be utilised to develop and maintain green tourism. Chapters examine everything from marketing, data mapping, employment opportunities, cultural issues as well as what the future holds for tourism to give back to countries.

The concept of artificial intelligence (AI) tourism is still relatively new, but it is quickly gaining popularity as more and more people become interested in learning about and experiencing the latest advances in AI technology. As such, it is no surprise that the first book on tourism by artificial intelligence has sparked a lot of excitement and interest. This groundbreaking book offers a unique perspective on travel, as it is written entirely by an AI. Using advanced natural language processing and machine learning algorithms, the AI has compiled a comprehensive guide to some of the most exciting and innovative destinations for AI enthusiasts. From visiting AI research labs and interacting with cutting-edge robots, to learning about the latest AI-powered products and services, the book covers it all. One of the key benefits of this book is the way it presents information. Rather than simply listing facts and figures, the AI has used its advanced language skills to craft engaging and informative descriptions of each destination. This makes the book a great resource for anyone interested in learning more about AI tourism, as it provides a detailed and engaging look at some of the most exciting destinations in the field. In addition to providing information on AI-related destinations, the book also includes practical advice on planning an AI-focused trip. From finding the best deals on flights and accommodation, to navigating unfamiliar cities and technologies, the AI has thought of everything to make the planning process as smooth and stress-free as possible. Overall, the first book on tourism by artificial intelligence is a revolutionary resource for anyone interested in exploring the exciting world of AI. Whether you are an AI enthusiast looking to learn more about the latest technologies, or simply someone who is curious about the future of travel, this book is sure to provide a wealth of information and inspiration.

The tourism industry faces pressing challenges amidst the integration of artificial intelligence (AI) technologies. It is necessary to address the lack of a comprehensive understanding of AI's impact on the sector, emphasizing its role in reshaping the travel ecosystem, enhancing customer experiences, and optimizing operational efficiency. Ethical considerations surrounding AI implementation in tourism must be thoroughly examined to guide responsible technology use. AI Innovations for Travel and Tourism illuminates how AI revolutionizes travel ecosystems, beginning with an insightful introduction to AI's impact on tourism, laying the groundwork for a nuanced understanding of its transformative potential. Delving into personalized travel planning, the book navigates the reader through the intricacies of AI-enhanced destination recommendations, digging into how these technologies redefine the travel experience. Smart booking systems and travel experiences demonstrate how AI streamlines operations and raises customer satisfaction. This book is ideal for tourism scholars, educators, students, researchers, and industry professionals.

Can (AI) big data gather data to predict when climate will change to influence poor travelling behaviours?(AI) big data tool can predict the flexibility of human travelling behavioral change is at least the result of one such mechanism, our ability to travel mentally in time and entertain potential future. Understanding of the impacts is holidays, particularly those involving travel. Using focus groups research to explores tourists' awareness of the impacts of travel own climate change, examines the extent to which climate change features in holiday travel decisions and identifies some of the barriers to the adoption of less carbon intensive tourism practices. The findings suggest many tourists don't consider climate change when planning their holidays. The failure of tourists to engage with the climate change to impact of holidays, combined with significant barriers to behavioral change, presents a considerable challenge in the tourism industry. In the future, computer (AI) big data tool can attempt to predict when the country's climate change to influence travelers to choose to go to the country to travel, e.g. next month or next half year or next year hot travelling destinations. Tourism is a highly energy intensive industry and has only recently attracted attention as an important contributions to climate change through greenhouse gas emissions. It has been estimated that tourism contributes 5% of global carbon dioxide emissions. There have been a number of potential changes proposed for reducing the impact of air travel on climate change. These include technological changes, market based changes and behavioral changes. However, the role that climate change plays in the holiday and travel decisions of global tourists. How the global tourists of the impacts travel has on climate change to establish the extent to which climate change, considerations features in holiday travel decision making processes and to investigate the major barriers to global tourists adopting less carbon intensive travel practices. It will bring this question: Will tourists aware the impacts that their holidays and travel have on climate changes to influence their travelling decision?When, it comes to understand individual traveler's behavioral change, wide range of conceptual theories have been developed, utilizing various social, psychological, subjective and objective variables in order to model travel consumption behavior. These theories of travel behavioral change operate at a number of different levels, including the individual level, the interpersonal level and community level. Whether pro-environmental behavior can be used to predict travel consumption behavior in a climate change. However, the question of what determines pro-environmental behavior in such a complex one that it can not be visualized through one single framework or diagram.Despite the potentially high risk scenario for the tourism industry and the global environment, the tourism and climate change ought have close relationship. However, (AI) big data tool can be applied to find what factors to influence the time of travelers' travelling choices. What are the important factors and variables which can limit tourism? e.g. money, time, family problem, extreme hot or cold weather change, air ticket price, journey attraction etc. variable factors.Mention of holidays and travel were deliberately avoided in the recruitment process, so as not to create a connection factor to influence traveler's individual mind. However, the dismissal of alternative transportation modes can be conceived as either a structural barrier, in the sense that flying is perhaps the only realistic option to reach long-haul holiday destination, or a perceived behavioral control barriers in that an individual perceives flying as the only option open to whom.