Search results

There are a large number of destinations in which post-conflict tourism (PCT) might be a relevant development option. This chapter considers four destinations which have opted to use the PCT brand as part of their strategies to attract tourists. These destinations – Cambodia, Nicaragua, Rwanda and Bougainville (within the country of Papua New Guinea) – are on four different continents, had conflicts which ended in the last decade of the twentieth century and represent tourism industries at different stages of development. They were also chosen because they are at low or medium levels of development and have relatively small populations of less than 20 million people. The chapter considers the different ways in which PCT is or might be used not only to provide economic opportunities for local residents, but also as a means towards reconciliation, healing and recovery after conflicts which have resulted in many casualties and divided the people against each other. Each of the case study destinations have attempted to turn a negative aspect of their histories into an opportunity for development, with differing levels of success.

This chapter evaluates the impacts of and response measures to COVID-19 pandemic on the practice of tourism in the wildlife conservancy model in Kenya thus proposing response interventions to possible tourism crises in the future.

The study uses the qualitative exploratory experience design and collects data from purposely selected conservancies' leaders and other documented materials from two main wildlife conservancies association in Kenya.

The chapter presents findings on the impacts of the COVID-19 pandemic on wildlife conservancy-based tourism, how conservancies responded to the pandemic and conservancy leadership perspectives on how to model future tourism and related activities in the conservancies based on the lessons they have learnt from the COVID-19 experience.

With the wildlife conservancy-based tourism model in Kenya being a relatively new phenomenon, the study provides important lessons for comparison with other such initiatives in other places in the event of tourism crises in the future.

This chapter argues that better preparedness to crises and uncertainties by various tourism types and models can help mitigate against adverse effects of similar uncertainties in the future. Consequently, the findings offer a glimpse of proposals and solutions to the wildlife conservancy-based tourism models that continue to be established in Kenya and in the region.

Learning about wildlife is an important part of childhood education, but it is yet to be capitalised upon in the context of educational tourism. This chapter considers the different types of wildlife tourism that are available to children, how wildlife tourism experiences might have educational value and what the benefits of this niche tourism type might be. By providing insight into the educational elements of wildlife tourism, this chapter provokes analytical thinking about how this can be implemented and managed in a sustainable and responsible manner.

The purpose of this chapter is to explore the effects of COVID-19 pandemic on tourism and hospitality. Motivation of the researchers in constructing the chapter was to logically alert the present-day and future world tourism and hospitality business leaders on how to respond to the disruptive forces attributed to deadly viral pandemics like that of COVID-19 pandemic. The purpose being to draw conclusions and identifying the research gaps. It is based on a structural analysis methodology to frame the categories of the major analysis in combination with scientific rigour to a broad and complex problem. Research results proved that the primary effects of COVID-19 pandemic on tourism and hospitality industry include technology disruption, globalisation problems and logistical inefficiencies. Implications to contemporary tourism and hospitality industry business leaders include bringing-in technologies, incubating survival plans of actions. The study results underscore the necessity of understanding effects of COVID-19 pandemic on tourism and hospitality so as to craft both proactive and reactive strategic stances. The research contributes to literature and theoretical novel introspections into the depth and breadth of how various tourism and hospitality industry metamorphoses can lead to navigation and survival in such COVID-19 pandemic environments.

Ladakh is an isolated arid environment in the Western Himalayas whose population relies mainly on glacial melt water. If the predicted adverse impacts of climate change occur, rising temperatures would accelerate the retreat of glaciers and place immense stress on the traditional Ladakhi agriculture and way of life. Very few studies in hydrology and glaciology currently document physical processes happening in Ladakh and only one project has combined climate data based upon measurements of temperature and precipitation, collected by the Indian Air Force in Leh town, and perceptions of local communities in order to explore the potential impacts of climate change in the area. This information constitutes the basis for climate change-related interventions of nongovernmental organizations (NGOs), both local and international, and could help inform any future climate modeling. However, the quality of this data can be questioned on several points, it terms of accuracy, availability and, most importantly, usefulness. Moreover, this chapter discusses the relevance of this kind of data when the focus is placed upon the adaptation of local communities to global environmental changes where climate change may not be the primary cause. For instance, the region is also currently undergoing a rapid transition from subsistence farming to a market-based economy due to the integration of Ladakh into India and the growing influx of tourism. When addressing the broader context of environmental change, reliable, accurate, and available climate data and models could be useful only if used as part of a holistic approach. This approach requires research and interventions to combine scientific information with local knowledge and perceptions about the impacts of climate change to root the physical data in a “real world” context. It must also acknowledge other drivers of environmental changes such as unsustainable development.