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A review of research on tourism demand forecasting

Citations

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Cited by:

  1. Kaijian He & Don Wu & Yingchao Zou, 2022. "Tourist Arrival Forecasting Using Multiscale Mode Learning Model," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
  2. Gunter, Ulrich & Önder, Irem & Smeral, Egon, 2019. "Scientific value of econometric tourism demand studies," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
  3. Yi-Chung Hu, 2021. "Forecasting tourism demand using fractional grey prediction models with Fourier series," Annals of Operations Research, Springer, vol. 300(2), pages 467-491, May.
  4. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
  5. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
  6. Qiu, Richard T.R. & Wu, Doris Chenguang & Dropsy, Vincent & Petit, Sylvain & Pratt, Stephen & Ohe, Yasuo, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team," Annals of Tourism Research, Elsevier, vol. 88(C).
  7. Nicolau, Juan Luis & Kim, Hyoeun & Liu, Xianwei, 2021. "The search value model: Detecting abnormal searching behavior," Annals of Tourism Research, Elsevier, vol. 87(C).
  8. Juan D. Borrero & Jesús Mariscal & Alfonso Vargas-Sánchez, 2022. "A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors," Stats, MDPI, vol. 5(4), pages 1-14, November.
  9. Le Quyen Nguyen & Paula Odete Fernandes & João Paulo Teixeira, 2021. "Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks," Forecasting, MDPI, vol. 4(1), pages 1-15, December.
  10. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
  11. Tamas Szucs, 2023. "Beyond the Battle of Narratives: Global soft power dynamics and the EU’s strategic approach on international cultural relations in the context of the emerging new world order," RSCAS Working Papers 2023/46, European University Institute.
  12. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  13. Diunugala, Hemantha Premakumara & Mombeuil, Claudel, 2020. "Modeling and predicting foreign tourist arrivals to Sri Lanka: A comparison of three different methods," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(3), pages 3-13.
  14. Han Liu & Yongjing Wang & Haiyan Song & Ying Liu, 2023. "Measuring tourism demand nowcasting performance using a monotonicity test," Tourism Economics, , vol. 29(5), pages 1302-1327, August.
  15. Park, Eunhye & Park, Jinah & Hu, Mingming, 2021. "Tourism demand forecasting with online news data mining," Annals of Tourism Research, Elsevier, vol. 90(C).
  16. Haodong Sun & Yang Yang & Yanyan Chen & Xiaoming Liu & Jiachen Wang, 2023. "Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model," Information Technology & Tourism, Springer, vol. 25(2), pages 205-233, June.
  17. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
  18. Karabulut, Gokhan & Bilgin, Mehmet Huseyin & Demir, Ender & Doker, Asli Cansin, 2020. "How pandemics affect tourism: International evidence," Annals of Tourism Research, Elsevier, vol. 84(C).
  19. Doris Chenguang Wu & Shiteng Zhong & Richard T R Qiu & Ji Wu, 2022. "Are customer reviews just reviews? Hotel forecasting using sentiment analysis," Tourism Economics, , vol. 28(3), pages 795-816, May.
  20. Mavrotas, George & Makryvelios, Evangelos, 2021. "Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece," European Journal of Operational Research, Elsevier, vol. 291(2), pages 794-806.
  21. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
  22. Seymur Ağazade & Egemen Güneş Tükenmez & Merve Uzun, 2023. "Is the volatility of international tourism revenues affected by tourism source market structure? An empirical analysis of Turkey," Tourism Economics, , vol. 29(2), pages 291-304, March.
  23. Bulatovic, Iva & Papatheodorou, Andreas, 2023. "Civil aviation and tourism demand in Montenegro: A panel data approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 25-36.
  24. Nicholas Apergis & Konstantinos Gavriilidis & Rangan Gupta, 2023. "Does climate policy uncertainty affect tourism demand? Evidence from time-varying causality tests," Tourism Economics, , vol. 29(6), pages 1484-1498, September.
  25. Recep Ulucak & Ali Gökhan Yücel & Salih Çağrı İlkay, 2020. "Dynamics of tourism demand in Turkey: Panel data analysis using gravity model," Tourism Economics, , vol. 26(8), pages 1394-1414, December.
  26. Eugenio-Martin, Juan L. & Cazorla-Artiles, José M., 2020. "The shares method for revealing latent tourism demand," Annals of Tourism Research, Elsevier, vol. 84(C).
  27. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
  28. Bosupeng, Mpho, 2019. "Forecasting tourism demand: The Hamilton filter," Annals of Tourism Research, Elsevier, vol. 79(C).
  29. Antony Andrews & Sean Kimpton, 2023. "Econometric Forecasting of Tourist Arrivals Using Bayesian Structural Time‐Series," Economic Papers, The Economic Society of Australia, vol. 42(2), pages 200-211, June.
  30. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
  31. Vatsa, Puneet, 2021. "Seasonality and cycles in tourism demand—redux," Annals of Tourism Research, Elsevier, vol. 90(C).
  32. Jennifer C. H. MIN & Hsien-Hung KUNG & Tsangyao CHANG, 2019. "Testing the Structural Break of Taiwan Inbound Tourism Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 117-130, June.
  33. Nestor Shpak & Oksana Muzychenko-Kozlovska & Maryana Gvozd & Włodzimierz Sroka, 2021. "Simulation of the Influence of External Factors on the Level of Use of the Regional Tourism Potential: A Practical Aspect," Administrative Sciences, MDPI, vol. 11(3), pages 1-17, August.
  34. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
  35. Xueying Huang & Yuanjun Han & Xuhong Gong & Xiangyan Liu, 2020. "Does the belt and road initiative stimulate China’s inbound tourist market? An empirical study using the gravity model with a DID method," Tourism Economics, , vol. 26(2), pages 299-323, March.
  36. Yi-Chung Hu & Peng Jiang & Jung-Fa Tsai & Ching-Ying Yu, 2021. "An Optimized Fractional Grey Prediction Model for Carbon Dioxide Emissions Forecasting," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
  37. Maximilian Weigert & Alexander Bauer & Johanna Gernert & Marion Karl & Asmik Nalmpatian & Helmut Küchenhoff & Jürgen Schmude, 2022. "Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances," Tourism Economics, , vol. 28(5), pages 1377-1400, August.
  38. El houssin Ouassou & Hafsa Taya, 2022. "Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
  39. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
  40. Guan, Bo & Silva, Emmanuel Sirimal & Hassani, Hossein & Heravi, Saeed, 2022. "Forecasting tourism growth with State-Dependent Models," Annals of Tourism Research, Elsevier, vol. 94(C).
  41. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
  42. Chanin Yoopetch & Boonying Kongarchapatara & Suthep Nimsai, 2022. "Tourism Forecasting Using the Delphi Method and Implications for Sustainable Tourism Development," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
  43. Salvatore Costantino & Maria Francesca Cracolici & J. Paul Elhorst, 2023. "A spatial origin‐destination approach for the analysis of local tourism demand in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 393-419, April.
  44. Paniagua, Jordi & Peiró-Palomino, Jesús & Santana-Gallego, María, 2022. "Does happiness drive tourism decisions?," Economic Modelling, Elsevier, vol. 111(C).
  45. Chengyuan Zhang & Fuxin Jiang & Shouyang Wang & Shaolong Sun, 2020. "A New Decomposition Ensemble Approach for Tourism Demand Forecasting: Evidence from Major Source Countries," Papers 2002.09201, arXiv.org.
  46. Leiv Opstad & Randi Hammervold & Johannes Idsø, 2021. "The Influence of Income and Currency Changes on Tourist Inflow to Norwegian Campsites: The Case of Swedish and German Visitors," Economies, MDPI, vol. 9(3), pages 1-13, July.
  47. Liu, Anyu & Wu, Doris Chenguang, 2019. "Tourism productivity and economic growth," Annals of Tourism Research, Elsevier, vol. 76(C), pages 253-265.
  48. Blanka Škrabić Perić & Blanka Šimundić & Vinko Muštra & Marijana Vugdelija, 2021. "The Role of UNESCO Cultural Heritage and Cultural Sector in Tourism Development: The Case of EU Countries," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
  49. Luojia Wang & Kerui Du & Bin Fang & Rob Law, 2023. "Escape from air pollution: How does air quality in the place of residence shape tourism consumption?," Tourism Economics, , vol. 29(4), pages 1074-1099, June.
  50. Davide Provenzano & Serena Volo, 2022. "Tourism recovery amid COVID-19: The case of Lombardy, Italy," Tourism Economics, , vol. 28(1), pages 110-130, February.
  51. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
  52. Wanvilai Chulaphan & Jorge Fidel Barahona, 2021. "The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
  53. Shanshan Wu & Lucang Wang & Haiyang Liu, 2021. "Study on Tourism Flow Network Patterns on May Day Holiday," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
  54. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
  55. He, Ling-Yang & Li, Hui & Bi, Jian-Wu & Yang, Jing-Jing & Zhou, Qing, 2022. "The impact of public health emergencies on hotel demand - Estimation from a new foresight perspective on the COVID-19," Annals of Tourism Research, Elsevier, vol. 94(C).
  56. Lingyu, Tang & Jun, Wang & Chunyu, Zhao, 2021. "Mode decomposition method integrating mode reconstruction, feature extraction, and ELM for tourist arrival forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
  57. Batista e Silva, Filipe & Barranco, Ricardo & Proietti, Paola & Pigaiani, Cristian & Lavalle, Carlo, 2021. "A new European regional tourism typology based on hotel location patterns and geographical criteria," Annals of Tourism Research, Elsevier, vol. 89(C).
  58. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
  59. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Law, Rob & Yang, Yating, 2020. "Group pooling for deep tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 82(C).
  60. David Alaminos & Ana León-Gómez & José Ramón Sánchez-Serrano, 2020. "A DSGE-VAR Analysis for Tourism Development and Sustainable Economic Growth," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
  61. Diunugala, Hemantha Premakumara & Mombeuil, Claudel, 2020. "Modeling and predicting foreign tourist arrivals to Sri Lanka: A comparison of three different methods," MPRA Paper 103779, University Library of Munich, Germany.
  62. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Vu, Huy Quan & Law, Rob, 2021. "Predictivity of tourism demand data," Annals of Tourism Research, Elsevier, vol. 89(C).
  63. Mingming Hu & Haiyan Song, 2020. "Data source combination for tourism demand forecasting," Tourism Economics, , vol. 26(7), pages 1248-1265, November.
  64. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao, 2024. "Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model," Tourism Economics, , vol. 30(2), pages 361-388, March.
  65. Guizzardi, Andrea & Pons, Flavio Maria Emanuele & Angelini, Giovanni & Ranieri, Ercolino, 2021. "Big data from dynamic pricing: A smart approach to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1049-1060.
  66. Lamia Jamel, 2020. "The Relation between Tourism and Economic Growth: A Case of Saudi Arabia as an Emerging Tourism Destination," Virtual Economics, The London Academy of Science and Business, vol. 3(4), pages 29-47, October.
  67. Martin Thomas Falk & Eva Hagsten & Xiang Lin, 2022. "Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 537-553, October.
  68. George Athanasopoulos & Rob J Hyndman & Mitchell O'Hara-Wild, 2021. "The Road to Recovery from COVID-19 for Australian Tourism," Monash Econometrics and Business Statistics Working Papers 1/21, Monash University, Department of Econometrics and Business Statistics.
  69. Ki-Hong Choi & Insin Kim, 2021. "Co-Movement between Tourist Arrivals of Inbound Tourism Markets in South Korea: Applying the Dynamic Copula Method Using Secondary Time Series Data," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
  70. Jaume Rosselló Nadal & María Santana Gallego, 2022. "Gravity models for tourism demand modeling: Empirical review and outlook," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1358-1409, December.
  71. Shaolong Sun & Yanzhao Li & Ju-e Guo & Shouyang Wang, 2020. "Tourism Demand Forecasting: An Ensemble Deep Learning Approach," Papers 2002.07964, arXiv.org, revised Jan 2021.
  72. Nikeel N Kumar & Arvind Patel & Rup Singh, 2022. "Modelling tourism competitiveness in small Pacific island countries," Tourism Economics, , vol. 28(3), pages 692-713, May.
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