Numerical tourism forecasting models are well-established tools in the tourism industry to identify tourist arrivals for a particular destination at a given point of time in the\ud future. Recent events have shown how unexpected external factors like terrorism and disease can alter international tourism flows. Forecasts of this nature arc not helpful in predicting changes in the future composition of demand. Given the obvious uncertainty of the future, this paper explains how the use of scenarios may enable tourism planners to consider a variety of possible future developments in order to facilitate the preparation for changing tourism demand. Using existing population scenarios constructed by the Australian Bureau of Statistics, this paper...
This study identifies the importance of forecasting turning points in tourism demand. Recognising th...
In a context in which the tourism industry is jeopardised by the COVID-19 pandemic, and potentially ...
This study provides innovative forecasts of the probabilities of certain scenarios of tourism demand...
Numerical tourism forecasting models are well-established tools in the tourism industry to identify ...
Identifying future tourism demand is a critical aspect for tourism decision-makers to ensure the lon...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
use of scenarios to assess potential impacts of demographic change on domestic tourism demand in the...
Tourism is a complex system as is the socio-economic system denoted as tourism destination, consider...
Abstract: In this paper, we model and forecast Australian domestic tourism demand. We use a regressi...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
This study identifies the importance of forecasting turning points in tourism demand. Recognising th...
This paper introduces the development of scenario planning for sustainable tourism, from the 1970s t...
Forecasting is a very complex concept which is to meet people's curiosity about the systematic ...
This paper explores an important problem in tourism demand analysis, namely, the inherent uncertaint...
In this paper, we model and forecast Australian domestic tourism demand. We use a regression framewo...
This study identifies the importance of forecasting turning points in tourism demand. Recognising th...
In a context in which the tourism industry is jeopardised by the COVID-19 pandemic, and potentially ...
This study provides innovative forecasts of the probabilities of certain scenarios of tourism demand...
Numerical tourism forecasting models are well-established tools in the tourism industry to identify ...
Identifying future tourism demand is a critical aspect for tourism decision-makers to ensure the lon...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
use of scenarios to assess potential impacts of demographic change on domestic tourism demand in the...
Tourism is a complex system as is the socio-economic system denoted as tourism destination, consider...
Abstract: In this paper, we model and forecast Australian domestic tourism demand. We use a regressi...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
This study identifies the importance of forecasting turning points in tourism demand. Recognising th...
This paper introduces the development of scenario planning for sustainable tourism, from the 1970s t...
Forecasting is a very complex concept which is to meet people's curiosity about the systematic ...
This paper explores an important problem in tourism demand analysis, namely, the inherent uncertaint...
In this paper, we model and forecast Australian domestic tourism demand. We use a regression framewo...
This study identifies the importance of forecasting turning points in tourism demand. Recognising th...
In a context in which the tourism industry is jeopardised by the COVID-19 pandemic, and potentially ...
This study provides innovative forecasts of the probabilities of certain scenarios of tourism demand...