Johnny Ch LOK
Published: 2021-01-28
Total Pages: 183
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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.