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The Wiley Blackwell Companion to Tourism presents a collection of readings that represent an essential and authoritative reference on the state-of-the-art of the interdisciplinary field of tourism studies. Presents a comprehensive and critical overview of tourism studies across the social sciences Introduces emerging topics and reassesses key themes in tourism studies in the light of recent developments Includes 50 newly commissioned essays by leading experts in the social sciences from around the world Contains cutting-edge perspectives on topics that include tourism’s role in globalization, sustainable tourism, and the state’s role in tourism development Sets an agenda for future tourism research and includes a wealth of bibliographic references
This book explores the complex decision-making processes involved in choosing and buying tourism products and services. It combines a theoretical overview of the basics of tourist behaviour and decision-making, with the results of an in-depth qualitative study of vacationers. It considers both the generic decision to go on vacation, or not, and more specific travel decisions, such as destination and accommodation type, from an individual and social point of view. It looks at how, when, and why such decisions are made, and the factors that influence the final outcome. The book concludes by rejecting existing tourist typologies in favour of a new typology of vacationers.
As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.
This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.
The Geography of Tourism and Recreation presents the first comprehensive introduction to tourism, leisure and recreation and the relationships between them. This accessible text includes a wealth of international case studies spanning Europe, North America, Australasia and China. Each chapter highlights the methods used by geographers to analyse recreation and tourism. It also introduces new perspectives from gender studies and postmodernism and examines key issues including * the demand and supply of recreation and tourism * the role of public policy, planning and management * the impact of tourism and recreation on urban, rural, mountain and coastal environments * tourism and recreation in wilderness areas and other peripheral regions. The use of student text features makes it ideal for course use.
Low-carbon tourism is an emerging issue of tourism industry and academia in recent years. Previous studies have provided us some reasons that tourists participate in low-carbon travel or not, however, these reasons are scattered in literature and not been integrated into the construct of low-carbon travel motivation or low-carbon travel constraint. Meanwhile, previous studies often designed low-carbon package tours through the perspective of operators, few studies have assisted independent tourists on how to save energy and reduce carbon in travel. Therefore, this book is focused into two parts. The purpose of one part is to draw on tourism related literature, to develop and test the Low-Carbon Travel Motivation and Constraint Scales. The purpose of the other part is to draw on tourism related literature, to develop and test the Low-Carbon Travel Behavior Scale.
Despite the fact that horse-based tourism is very popular on the high-impact recreational activity, this research field was given only little attention so far. Although, motivation theories have been related to jobs and tourism in general, little is known about the target groups of equestrian tourists. The purpose of this study is to investigate in how far Landsmot becomes responsible for the German Icelandic horse community's motivation to visit Iceland. Thereby, an emphasis is placed on the individual's motivation that decides about the visit to Landsmot, and the resulting impact on their final travel decision. To identify correlations between tourist motivation and destination choice, the study is based on a cross-sectional explanatory research purpose, using a mixed-model research method which consists of a survey and an archival research. In order to answer those research questions, a questionnaire was developed which comprises responses from 222 German Icelandic horse community members. Overall, this study provides a background, and status quo for further specific investigations that concern the travel behaviour of the Icelandic horse community in Germany.
This book highlights the state-of-the-art tourism and hospitality industry in Southeast Asian countries, while also presenting future directions for the industry with an emphasis on decision-making models. It first elaborates on the significant role of the tourism and hospitality industry given the rapid socio-economic and cultural changes occurring in Southeast Asia, before providing perspectives on medical tourism, tourism for seniors and several other developments within the tourism and hospitality sector. Development of Tourism and the Hospitality Industry in Southeast Asia presents scholarly perspectives from researchers across the region and is geared towards world-wide readers in academia, as well as experts from the industry.
A collection of groundbreaking and stimulating chapters that explore innovative marketing operations, interactions and experiences, illustrating how each contributes to the sustainable development of destinations.