Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.

In this paper, the aim was to model and forecast the Victoria Falls Rainforest tourism demand using hierarchical forecasting methods. The methods are capable of capturing tourism data dynamics, producing precise, coherent and sensible short-term tourism forecasts. The monthly tourism data from the Z...

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Main Authors: Tendai Makoni, Delson Chikobvu
Format: Article
Language:English
Published: AfricaJournals 2018-08-01
Series:African Journal of Hospitality, Tourism and Leisure
Subjects:
Online Access:https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_50_vol_7_4__2018.pdf
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spelling doaj-089cb5438d6f4d418fbce003dde1c0892020-11-24T21:31:47ZengAfricaJournalsAfrican Journal of Hospitality, Tourism and Leisure2223-814X2018-08-0174Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.Tendai Makoni0Delson Chikobvu1Department of Mathematical Statistics and Actuarial Science University of the Free State, South AfricaDepartment of Mathematical Statistics and Actuarial Science University of the Free State, South AfricaIn this paper, the aim was to model and forecast the Victoria Falls Rainforest tourism demand using hierarchical forecasting methods. The methods are capable of capturing tourism data dynamics, producing precise, coherent and sensible short-term tourism forecasts. The monthly tourism data from the Zimbabwe Parks and Wildlife Management Authority (ZPWMA) is used. The data are disaggregated according to tourism source (international, regional and locals) and further disaggregated by age (adult and children). The ZPWMA needs future tourism forecasts for all tourism sources, adult and children tourists for planning purposes. Accurate and coherent forecasts for both adult and children tourists are needed for hotel accommodation including family rooms, child minders, recreational facilities, food types at the site to mention a few. Time series plots of the disaggregated tourism data indicated more foreign adult tourists and fewer children tourists at the site. To model and forecast the tourism demand, the top-down, bottom-up, and the optimal combination approaches are adopted. The exponential smoothing techniques (EST) and the autoregressive integrated moving average (ARIMA) methods are the forecasting methods considered under the mentioned approaches. Accuracy measures indicated the bottom-up approach under ARIMA models as the best approach to the data and produced sensible future tourism forecasts. An overall slow increase in future tourist arrivals is suggested by the models, with significant numbers expected from foreign adult tourists and less children tourists. Effective marketing strategies targeting the younger generation from abroad need to be implemented as this will impact positively to our economy in the near future. The educational issues around the rainforest have the potential to attract school tours from the rest of the world. The methods used are of significant benefit to the ZPWMA, tourism managers, investors, government and policy makers. These methods are strongly recommended as they give economically feasible solutions.https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_50_vol_7_4__2018.pdfTourist arrivals; bottom-up; top-down; optimal-combination
collection DOAJ
language English
format Article
sources DOAJ
author Tendai Makoni
Delson Chikobvu
spellingShingle Tendai Makoni
Delson Chikobvu
Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
African Journal of Hospitality, Tourism and Leisure
Tourist arrivals; bottom-up; top-down; optimal-combination
author_facet Tendai Makoni
Delson Chikobvu
author_sort Tendai Makoni
title Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
title_short Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
title_full Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
title_fullStr Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
title_full_unstemmed Hierarchical forecasting of tourist arrivals at the Victoria Falls Rainforest, Zimbabwe.
title_sort hierarchical forecasting of tourist arrivals at the victoria falls rainforest, zimbabwe.
publisher AfricaJournals
series African Journal of Hospitality, Tourism and Leisure
issn 2223-814X
publishDate 2018-08-01
description In this paper, the aim was to model and forecast the Victoria Falls Rainforest tourism demand using hierarchical forecasting methods. The methods are capable of capturing tourism data dynamics, producing precise, coherent and sensible short-term tourism forecasts. The monthly tourism data from the Zimbabwe Parks and Wildlife Management Authority (ZPWMA) is used. The data are disaggregated according to tourism source (international, regional and locals) and further disaggregated by age (adult and children). The ZPWMA needs future tourism forecasts for all tourism sources, adult and children tourists for planning purposes. Accurate and coherent forecasts for both adult and children tourists are needed for hotel accommodation including family rooms, child minders, recreational facilities, food types at the site to mention a few. Time series plots of the disaggregated tourism data indicated more foreign adult tourists and fewer children tourists at the site. To model and forecast the tourism demand, the top-down, bottom-up, and the optimal combination approaches are adopted. The exponential smoothing techniques (EST) and the autoregressive integrated moving average (ARIMA) methods are the forecasting methods considered under the mentioned approaches. Accuracy measures indicated the bottom-up approach under ARIMA models as the best approach to the data and produced sensible future tourism forecasts. An overall slow increase in future tourist arrivals is suggested by the models, with significant numbers expected from foreign adult tourists and less children tourists. Effective marketing strategies targeting the younger generation from abroad need to be implemented as this will impact positively to our economy in the near future. The educational issues around the rainforest have the potential to attract school tours from the rest of the world. The methods used are of significant benefit to the ZPWMA, tourism managers, investors, government and policy makers. These methods are strongly recommended as they give economically feasible solutions.
topic Tourist arrivals; bottom-up; top-down; optimal-combination
url https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_50_vol_7_4__2018.pdf
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