Sustainable, Responsible, and Regenerative Tourism Development explores the evolving landscape of global tourism at a time of significant disruption driven by climate change, technological advancement, shifting consumer behaviour, and widening socio-economic inequalities.
Structured across nine thoughtfully designed chapters, the book reframes tourism not merely as an economic activity, but as a powerful instrument for social equity, environmental stewardship, and long-term regenerative development. It begins with an analysis of heritage site generation in Malaysia, highlighting how domestic tourists’ values and attitudes influence preservation outcomes. It then expands into collaborative destination management, emphasising the role of public, private, and community partnerships in sustainable governance. Community-based tourism is explored through rural Asian and African contexts, demonstrating how local empowerment, capacity building, and participatory planning can drive inclusive growth.
Further chapters provide comparative policy insights into environmental conservation frameworks and evaluate the need for reform in tourism education and professional training to support sector-wide transformation. The book also investigates the role of digital technologies such as virtual reality, augmented reality, and blockchain in enhancing visitor experiences and operational transparency. Emerging trends such as staycations are analysed in relation to AI, robotics, and localised travel models that can mitigate overtourism while strengthening community-level economies.
Key Features
Comprehensive coverage of sustainable, responsible, and regenerative tourism frameworks
Integration of heritage conservation, policy analysis, and community-based tourism models
Examination of digital technologies, including VR, AR, blockchain, AI, and robotics, in tourism
Comparative insights from Asia, Africa, and global destination management practices
Focus on green innovation and financial resilience in tourism-dependent economies
Policy-oriented discussion on education, governance, and regulatory reforms
AI-driven decision-support systems for sustainable tourism planning and risk management
Readership
Researchers, academics, and postgraduate students in tourism management, sustainability studies, environmental policy, and hospitality management.
