Forecasting tourism demand: A review of empirical research

International Journal of Forecasting

Volumn 11, Issue 3, 1995, Pages 447-475

  Witt, Stephen F ^a   Witt, Christine A ^b  

^a SWANSEA UNIVERSITY   (United Kingdom)

^b BRADFORD UNIVERSITY SCHOOL OF MANAGEMENT   (United Kingdom)

Author keywords

Accuracy comparisons; Empirical review; Qualitative methods; Quantitative methods; Tourism forecasting

Indexed keywords

EID: 0001609105     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-2070(95)00591-7     Document Type: Article

References (115)

1. An industry energy price impact model
2. Forecasting demand: Quantitative and intuitive techniques
3. Demand forecasting and estimation
4. Error measures for generalizing about forecasting methods
5. The effect of revaluation on the foreign travel balance of Germany
6. An econometric analysis of international travel
7. On the usefulness of macroeconomic forecasts as inputs to forecasting models
8. Seasonality in tourism—;Part 1
9. Seasonality in tourism—;Part 2
10. Forecasting tourism and travel series
11. An econometric study of British tourist expenditure in Ireland
12. Tourist traffic and the demand for accommodation
13. International tourism and economic development
14. A comparison of the short term forecasting accuracy of econometric and naive extrapolation models of market share
15. A comprehensive review of the tourism forecasting literature
16. An empirical analysis of the effects of the exchange rate on Canadian tourism
17. Forecasting tourism revisited
18. Measuring travel volumes and itineraries and forecasting future travel growth to individual Pacific destinations
19. A model of tourism flow into the Pacific
20. Marketing international tourism to Australia
21. Predictive accuracy of simple versus complex econometric market share models
22. An almost ideal demand system
23. The determinants of Florida tourist flows
24. The prediction of air travel and aircraft technology to the year 2000 using the Delphi method
25. Quantitative forecasting—;the state of the art
26. The evaluation of extrapolative forecasting methods
27. The choice of a forecasting model
28. Combining time-series and econometric forecast of tourism activity
29. Forecasting tourism demand
30. Travel demand functions for Florida bound tourists
31. Forecasting the Hawaiian tourist market
32. Comparing the Box—;Jenkins approach with the exponentially smoothed forecasting model
33. Use of the Box—;Jenkins approach to forecast tourist arrivals
34. Holiday trip generation
35. The demand for international travel by the United States and Canada
36. Empirical comparisons of models for short-range forecasting
37. Demand elasticities of tourism in Singapore
38. Tourism and economic growth in Mexico since 1950
39. International demand for Latin American tourism
40. Future trends in international tourism
41. A quantitative analysis of Canadian overseas tourism
42. Are economic forecasts significantly better than naive predictions? An appropriate test
43. Effects of income and prices on travel spending abroad 1960 III–;1967 IV
44. Forecasting by a major airline
45. International travel in the US balance of payments
46. Hawaii tourism to the year 2000
47. International travel to the United States
48. The economics of air travel gravity models
49. The art and science of forecasting—;an assessment and future directions
50. Accuracy measures
51. Accuracy of forecasting
52. The accuracy of extrapolation (time series) methods
53. The M2-Competition
54. Gravity model calibration of tourist travel to Las Vegas
55. Tourism demand forecasting models
56. Substitute prices in models of tourism demand
57. Forecasting tourism demand
58. Econometric analysis and forecasts of US international travel
59. Globalization redirects the travel industry
60. Market shares of US tourist expenditure in Europe
61. The effectiveness of the UK travel allowance
62. A marketing analysis of foreign tourism in Greece
63. A simple non-parametric test of predictive performance
64. The stability of a recreation demand model over time
65. Evaluation of intervening opportunities trip distribution model
66. The demand for travel
67. The demand for abstract transport modes
68. The demand for abstract transport modes
69. Cross-sectional travel demand models
70. A tourism demand function for the Okanagan, BC
71. Elasticities of substitution in Caribbean tourism
72. Trends in leisure and tourism 2000–;2010
73. Utilizing the Delphi technique at international conference
74. A review of empirical research
75. Econometric forecasts
76. Factors affecting demand for international travel to and from Australia
77. Estimation of tourism demand by multivariable regression analysis
78. Domestic tourism development in China
79. Determinants of demand for international tourist flows to Turkey
80. An overview of approaches used to forecast tourism demand
81. Can futures research contribute to tourism policy?
82. Tourism forecasting and the policymaker
83. Forecasting in tourism
84. Estimating the demand for international tourism using time series analysis
85. An international travel demand model
86. A statistical theory of spatial distribution models
87. An abstract mode—;abstract (destination) node model of foreign holiday demand
88. An econometric comparison of UK and German foreign holiday behaviour
89. A binary choice model of foreign holiday demand
90. Cash flow forecasting in the international tourism industry
91. How successful are commercial tourism forecasting models?
92. Assessing the accuracy of published econometric forecasts of international tourism demand
93. The track records of tourism forecasting services
94. Tourism forecasting
95. Econometric models for forecasting international tourism demand
96. Measuring the impacts of mega-events on tourism flows, The role and impact of mega-events and attractions on regional and national tourism development
97. International tourism demand models—;inclusion of marketing variables
98. Demand forecasting in tourism and recreation
99. An empirical comparison of alternative forecasting methods as applied to the UK foreign holiday market
100. Measures of forecasting accuracy
101. An empirical assessment of relative forecasting performance based on directional accuracy, Tourism research—;globalization, the Pacific Rim and beyond
102. Tourism forecasting
103. Modeling conference tourism, Tourism partnerships and strategies—;merging vision with new realities
104. Forecasting domestic tourism demand
105. An abstract mode approach to the demand for travel
106. Turning points in economic time series, loss structures and Bayesian forecasting