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Changes in demography are more certain than climate change, technology and oil, and will have huge implications on the tourism industry. This book investigates the dimensions of demography in order to demonstrate how tourism is changing now and the future
Purpose. The purpose of this paper is to discuss how demographic changes in developed countries will continue to drive the tourism and hospitality industries to adopt automation in business operations. Design/methodology/approach. The approach is an analysis of the trends in human reproduction in the developed countries and a discussion of their implications for the travel, tourism, and hospitality industries. Findings. There are three major solutions to the demographic problem faced in developed countries and the replacement of human labour with automation is the most practical, immediate, and has the fewest risks and negative externalities. Practical implications. Industry has to adapt to the new demographic reality and embrace automation of services, educate their customers, and have policies to deal with the resistance expected by labour.Social implications. Society can expect that many of the tasks they commonly expect humans to be involved in will be done by machines and artificial intelligence in the near future, if demographic trends continue and massive immigration into developed countries is not a continuing phenomenon. Originality/value. This links the relationship between demographic trends to the use of automation in the travel, tourism, and hospitality industries.
Why senior age will be main travelling target. In the past, Germany government had established tourism survey analysis to analyze survey data in order to arrive at reliable conclusions on future trends in travel behavior. To aim to find how demographic change will influence the tourism market and how the industry can adapt to those changes. The travel analysis provided data on tourism consumer behavior, including attitudes, motives and intentions. Since, 1970 year, it is based on a random sample, representative for the population in private households aged 14 years or older. Then, a continuous high scientific standard combined with a national and international users makes the travel analysis a useful tool and reliable source for tourism industry and policy decisions. It aimed to gather statistical data. e.g. on the age structure and on demographic trends, quantitative and qualitative analysis with time series data from the travel analysis. It shows e.g. not only the future volume, quite different from today's seniors, or how who will travel of family holidays will change, e.g. single parents of low, but grandparents of growing significance for tourism. Demographic change is said to be one of the important drivers for new trends in consumer traveling change behavior in most European countries ( e.g. Lind 2001). Because the growing number of senior citizens in the European Union and other industralised countries, such as the USA and Japan, looks to become one of the major marketing challenges for the tourism industry. United Nations statistics predict that the share of people being 60 age or older will grow dramatically in the coming future, and is expected to rise from 10 percent of the world population in 2000 year to more than 20 percent in 2050 year ( United Nations Population Division, 2001). From its statistic, some data showed that travel propensity increased throughout life until the age of about 50 years of age and was then kept stable until very late in life 75 age. The most important results is that the travel propensity when getting older is not going down between 65 and 75 age of course, the overall development of this variable is influenced by a lot of other factors which are rsponsible for quite a variation over time. It is now possible to suggest that the general pattern of travel propensity is one of the key indicators for holiday life cycle travel behaviour, includes three stages. The growth stage tends to increase from early aduithood until 45 age old or when reaching some 80%. The next stage is stabilisation from the ages of around 50 age, until 75 age old, starting with a lower increase. Finally, the decrease stage is a slight decrease occurs once people reach the more advanced age of 75 age to 85 age old ( Lohmann & Danielsson 2001). So, it seems Germany government tourism prediction to future travellers' behaviour indicated these findings, such as on how future senior generations will travel, who had used survey data to examine the patterns of travel behaviour of a generation getting older and applied the findings to draw conclusions on the future. Also, it predicted that on the future of family trips, family semgmentation will be the travel behaviour patterns in the future. These findings together with the statistical data on demographic change allowed for a better understanding of the coming tends in family holidays. It's aim developed in consumer behaviour related to demographic change and predicted what will happen future of tourism one had to consider other influences and drivers as well, for example, trends on the supply side. e.g. low cost airlines or in travelling consumption behaviour in general whether how the past may provide a key to predict travel patterns of senior sitizens to the future.
Why senior age will be main travelling target. In the past, Germany government had established tourism survey analysis to analyze survey data in order to arrive at reliable conclusions on future trends in travel behavior. To aim to find how demographic change will influence the tourism market and how the industry can adapt to those changes. The travel analysis provided data on tourism consumer behavior, including attitudes, motives and intentions. Since, 1970 year, it is based on a random sample, representative for the population in private households aged 14 years or older. Then, a continuous high scientific standard combined with a national and international users makes the travel analysis a useful tool and reliable source for tourism industry and policy decisions. It aimed to gather statistical data. e.g. on the age structure and on demographic trends, quantitative and qualitative analysis with time series data from the travel analysis. It shows e.g. not only the future volume, quite different from today's seniors, or how who will travel of family holidays will change, e.g. single parents of low, but grandparents of growing significance for tourism. Demographic change is said to be one of the important drivers for new trends in consumer traveling change behavior in most European countries ( e.g. Lind 2001). Because the growing number of senior citizens in the European Union and other industralised countries, such as the USA and Japan, looks to become one of the major marketing challenges for the tourism industry. United Nations statistics predict that the share of people being 60 age or older will grow dramatically in the coming future, and is expected to rise from 10 percent of the world population in 2000 year to more than 20 percent in 2050 year ( United Nations Population Division, 2001). From its statistic, some data showed that travel propensity increased throughout life until the age of about 50 years of age and was then kept stable until very late in life 75 age. The most important results is that the travel propensity when getting older is not going down between 65 and 75 age of course, the overall development of this variable is influenced by a lot of other factors which are rsponsible for quite a variation over time. It is now possible to suggest that the general pattern of travel propensity is one of the key indicators for holiday life cycle travel behaviour, includes three stages. The growth stage tends to increase from early aduithood until 45 age old or when reaching some 80%. The next stage is stabilisation from the ages of around 50 age, until 75 age old, starting with a lower increase. Finally, the decrease stage is a slight decrease occurs once people reach the more advanced age of 75 age to 85 age old ( Lohmann & Danielsson 2001). So, it seems Germany government tourism prediction to future travellers' behaviour indicated these findings, such as on how future senior generations will travel, who had used survey data to examine the patterns of travel behaviour of a generation getting older and applied the findings to draw conclusions on the future. Also, it predicted that on the future of family trips, family semgmentation will be the travel behaviour patterns in the future. These findings together with the statistical data on demographic change allowed for a better understanding of the coming tends in family holidays. It's aim developed in consumer behaviour related to demographic change and predicted what will happen future of tourism one had to consider other influences and drivers as well, for example, trends on the supply side. e.g. low cost airlines or in travelling consumption behaviour in general whether how the past may provide a key to predict travel patterns of senior sitizens to the future.
This book makes an innovative contribution to understanding the relationships between tourism and migration. It explores the many different forms of tourism-migration relationships, paying attention to both the global processes of change and the contingencies of place and space. The book provides an extensive guide to the relevant literature as well as case studies from a diverse range of countries and discusses the significance of the Caribbean, Chinese, and Vietnamese diasporas.
The world is entering the Third Millennium in which great changes are expected in all areas of human interest, life, and activity. These changes have been brought on by past and present man-made events, which have had both positive and negative consequences. The coming millennium will be marked by significant social, political, demographic, and technological changes, and will definitely differ from the last century. The future will bring more leisure time, a higher standard of living, and a better quality of life for us all. Future Tourism Trends examines recent and the most probable changes and answers questions such as: Who is ‘the new tourist’ – if there is one – and what is she looking for? Is the new post-technological era transforming the very essence of travelling? The authors present a wide range of visionary insights, as well as operational takeaways.
This cutting-edge international book brings together leading experts? latest research in the field of family tourism by adding to its underdeveloped knowledge base. Family Tourism: Multidisciplinary Perspectives underlines the infancy of academic family tourism research that belies its market importance and directs towards future implications and theoretical debates about the place of families within tourism.
How COVID 19 disease influences tourism industry recession ? Butler , R.W. (1980)'s model begins with a discovery and exploration or birth stage in which a location is discovered by a small, select group of people as a place with desirable assets often, this discovery is nature population who may see the perceived assets. As just ordinary aspects of their environment or local culture. The early tourists have very little support in the form of amenities, and typically, this is preferred and is part of a location's of being undiscovered. The early tourists, therefore rely heavily on and interact frequently with the residents of the region. This small group of early tourists is largely in dependent and shares information about a destination by word of mouth or by select affinity groups. Over time, as more people are introduced to the destination, the number of visitors begins to increase. So " word of mouth" will be traveler information to persuade them to make travelling destination choices in the tourism industry beginning. It is tourism industry's birth life cycle stage characteristics . However, internet invention can let any one see any countries' scene photos, so it is one kind of good advertisement method to introduce any countries' scene, instead of travelling magazine in tourism growth and maturity life cucle both stages.Why senior age will be main travelling target after COV19 disease attacks to global tourism lesiure need? In the past, Germany government had established tourism survey analysis to analyze survey data in order to arrive at reliable conclusions on future trends in travel behavior. To aim to find how demographic change will influence the tourism market and how the industry can adapt to those changes. The travel analysis provided data on tourism consumer behavior, including attitudes, motives and intentions. Since, 1970 year, it is based on a random sample, representative for the population in private households aged 14 years or older. Then, a continuous high scientific standard combined with a national and international users makes the travel analysis a useful tool and reliable source for tourism industry and policy decisions. It aimed to gather statistical data. e.g. on the age structure and on demographic trends, quantitative and qualitative analysis with time series data from the travel analysis. It shows e.g. not only the future volume , quite different from today's seniors, or how who will travel of family holidays will change, e.g. single parents of low, but grandparents of growing significance for tourism. Demographic change is said to be one of the important drivers for new trends in consumer traveling change behavior in most European countries ( e.g. Lind 2001). Because the growing number of senior citizens in the European Union and other industralised countries, such as the USA and Japan, looks to become one of the major marketing challenges for the tourism industry. United Nations statistics predict that the share of people being 60 age or older will grow dramatically in the coming future, and is expected to rise from 10 percent of the world population in 2000 year to more than 20 percent in 2050 year ( United Nations Population Division, 2001). From its statistic, some data showed that travel propensity increased throughout life until the age of about 50 years of age and was then kept stable until very late in life 75 age. The most important results is that the travel propensity when getting older is not going down between 65 and 75 age of course, the overall development of this variable is influenced by a lot of other factors which are rsponsible for quite a variation over time. It is now possible to suggest that the general pattern of travel propensity is one of the key indicators for holiday life cycle travel behaviour, includes three stages.