2020
DOI: 10.3727/154427220x15791346544752
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Domestic Tourism Statistics: A Comparative Analysis of Demand Data Coverage and Method

Abstract: Domestic tourism is the mainstay of tourism demand for many destinations. However, it does not receive as much attention as international tourism does in either academic or governmental research. There is no global database on domestic tourism statistics and no global view of overall volume and value trend statistics based on integrated measurements that include both domestic and international tourism travel. To begin to address this lacuna, this article assesses the domestic tourism demand data coverage and … Show more

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Cited by 5 publications
(2 citation statements)
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“…The COVID-19 pandemic has profoundly influenced travelers' decision (Moya Calderón et al, 2021), leading to heightened concerns for safety and a preference for shorterdistance trips compared to pre-pandemic period (Wu et al, 2022). Consequently, several nations have established objectives aimed at revitalizing domestic tour- On the other hand, there is no global database on domestic tourism statistics and no global view of overall volume and value trend statistics based on integrated measurements that include both domestic and international tourism travel (Ragab et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The COVID-19 pandemic has profoundly influenced travelers' decision (Moya Calderón et al, 2021), leading to heightened concerns for safety and a preference for shorterdistance trips compared to pre-pandemic period (Wu et al, 2022). Consequently, several nations have established objectives aimed at revitalizing domestic tour- On the other hand, there is no global database on domestic tourism statistics and no global view of overall volume and value trend statistics based on integrated measurements that include both domestic and international tourism travel (Ragab et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Silina, L.A. Bragin, T.A. Lavrova, O. Makara, V. Maiboroda, L. Andrades, I. Arbulu, S. Khalil, A. Ragab, A. Ghorbani, B. Bayih [2][3][4][5][6][7][8][9][10] and others. The works consider the methods of forecasting the demand for sustainable tourism development [11][12][13] based on econometric principles and modeling.…”
Section: Introductionmentioning
confidence: 99%