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Tourism demand forecasting: A deep learning approach

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  1. Abdullah Akgün & Beykan Çizel & Edina Ajanovic, 2022. "Mining excursion tourist profile through classification algorithms," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2567-2588, August.
  2. Binru Zhang & Yulian Pu & Yuanyuan Wang & Jueyou Li, 2019. "Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
  3. Tairan Zhang & Zhenji Zhang & Gang Xue, 2024. "Mitigating the disturbances of events on tourism demand forecasting," Annals of Operations Research, Springer, vol. 342(1), pages 1019-1040, November.
  4. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
  5. Kaijian He & Don Wu & Yingchao Zou, 2022. "Tourist Arrival Forecasting Using Multiscale Mode Learning Model," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
  6. Jabeur, Sami Ben & Ballouk, Houssein & Mefteh-Wali, Salma & Omri, Anis, 2022. "Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  7. Martina Nannelli & Francesco Capone & Luciana Lazzeretti, 2022. "A bibliometric analysis on Artificial intelligence in Tourism. State of the art and future research avenues," Working Papers - Business wp2022_03.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  8. Tomas Havranek & Ayaz Zeynalov, 2021. "Forecasting tourist arrivals: Google Trends meets mixed-frequency data," Tourism Economics, , vol. 27(1), pages 129-148, February.
  9. Stathis Polyzos & Anestis Fotiadis & Aristeidis Samitas, 2021. "COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications," Working Papers DP-2021-12, Economic Research Institute for ASEAN and East Asia (ERIA).
  10. 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).
  11. Maela Madel L. Cahigas & Ardvin Kester S. Ong & Yogi Tri Prasetyo, 2023. "Super Typhoon Rai’s Impacts on Siargao Tourism: Deciphering Tourists’ Revisit Intentions through Machine-Learning Algorithms," Sustainability, MDPI, vol. 15(11), pages 1-29, May.
  12. Ziqi Yuan & Guozhu Jia, 2022. "Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing," Information Technology & Tourism, Springer, vol. 24(4), pages 547-580, December.
  13. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
  14. Marta Crispino & Vincenzo Mariani, 2023. "A tool to nowcast tourist overnight stays with payment data and complementary indicators," Questioni di Economia e Finanza (Occasional Papers) 746, Bank of Italy, Economic Research and International Relations Area.
  15. Li, Cheng & Ge, Peng & Liu, Zhusheng & Zheng, Weimin, 2020. "Forecasting tourist arrivals using denoising and potential factors," Annals of Tourism Research, Elsevier, vol. 83(C).
  16. 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.
  17. Arpan Kumar Kar & Shweta Kumari Choudhary & P. Vigneswara Ilavarasan, 2023. "How can we improve tourism service experiences: insights from multi-stakeholders’ interaction," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 73-89, March.
  18. 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.
  19. Zheng, Weimin & Huang, Liyao & Lin, Zhibin, 2021. "Multi-attraction, hourly tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 90(C).
  20. İhsan Erdem Kayral & Tuğba Sarı & Nisa Şansel Tandoğan Aktepe, 2023. "Forecasting the Tourist Arrival Volumes and Tourism Income with Combined ANN Architecture in the Post COVID-19 Period: The Case of Turkey," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
  21. Shubhra Paul & Lauren B. Davis, 2022. "An ensemble forecasting model for predicting contribution of food donors based on supply behavior," Annals of Operations Research, Springer, vol. 319(1), pages 1-29, December.
  22. Kulshrestha, Anurag & Krishnaswamy, Venkataraghavan & Sharma, Mayank, 2020. "Bayesian BILSTM approach for tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 83(C).
  23. Hassan F Gholipour & Robin Nunkoo & Behzad Foroughi & Hassan Kalantari Daronkola, 2022. "Economic policy uncertainty, consumer confidence in major economies and outbound tourism to African countries," Tourism Economics, , vol. 28(4), pages 979-994, June.
  24. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
  25. Xu, Jian & Zhang, Wei & Li, Hengyun & Zheng, Xiang (Kevin) & Zhang, Jing, 2024. "User-generated photos in hotel demand forecasting," Annals of Tourism Research, Elsevier, vol. 108(C).
  26. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
  27. Yi-Chung Hu, 2023. "Tourism combination forecasting using a dynamic weighting strategy with change-point analysis," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(14), pages 2357-2374, July.
  28. Hui Zhang & Zancai Xia & Jiaxi Wang, 2024. "Spatiotemporal Changes in China’s Tourism Industry Development," Sustainability, MDPI, vol. 16(8), pages 1-31, April.
  29. Zhao, Xinxing & Li, Kainan & Ang, Candice Ke En & Cheong, Kang Hao, 2023. "A deep learning based hybrid architecture for weekly dengue incidences forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
  30. Wanhai You & Yuming Huang & Chien‐Chiang Lee, 2024. "Forecasting tourist flows in the COVID‐19 era using nonparametric mixed‐frequency VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 473-489, March.
  31. 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.
  32. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
  33. Juan Vidal & Ramón A. Carrasco & Manuel J. Cobo & María F. Blasco, 2024. "Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7588-7621, June.
  34. Dong Zhang & Pengkun Wu & Chong Wu & Eric W. T. Ngai, 2024. "Forecasting duty-free shopping demand with multisource data: a deep learning approach," Annals of Operations Research, Springer, vol. 339(1), pages 861-887, August.
  35. Polyzos, Stathis & Samitas, Aristeidis & Kampouris, Ilias, 2021. "Economic stimulus through bank regulation: Government responses to the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
  36. Park, Eunhye & Park, Jinah & Hu, Mingming, 2021. "Tourism demand forecasting with online news data mining," Annals of Tourism Research, Elsevier, vol. 90(C).
  37. 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.
  38. Soyoung Oh & Honggeun Ji & Jina Kim & Eunil Park & Angel P. del Pobil, 2022. "Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service," Information Technology & Tourism, Springer, vol. 24(1), pages 109-126, March.
  39. Li, Hengyun & Hu, Mingming & Li, Gang, 2020. "Forecasting tourism demand with multisource big data," Annals of Tourism Research, Elsevier, vol. 83(C).
  40. 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).
  41. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
  42. Robert Steiger & Eva Posch & Gottfried Tappeiner & Janette Walde, 2020. "Effects of climate change on tourism demand considering individual seasonal preferences," Working Papers 2020-08, Faculty of Economics and Statistics, University of Innsbruck.
  43. Mei-Chih Wang & Tsangyao Chang & Jennifer Min, 2022. "Revisit stock price bubbles in the COVID-19 period: Further evidence from Taiwan’s and Mainland China’s tourism industries," Tourism Economics, , vol. 28(4), pages 951-960, June.
  44. Eunjeong Choi & Soohwan Cho & Dong Keun Kim, 2020. "Power Demand Forecasting using Long Short-Term Memory (LSTM) Deep-Learning Model for Monitoring Energy Sustainability," Sustainability, MDPI, vol. 12(3), pages 1-14, February.
  45. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
  46. Marta Crispino & Vincenzo Mariani, 2025. "A Tool to Nowcast Tourist Overnight Stays with Payment Data and Complementary Indicators," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 11(1), pages 285-312, March.
  47. Fotiadis, Anestis & Polyzos, Stathis & Huan, Tzung-Cheng T.C., 2021. "The good, the bad and the ugly on COVID-19 tourism recovery," Annals of Tourism Research, Elsevier, vol. 87(C).
  48. Wu, Donglong & Zhou, Dequn & Zhu, Qingyuan & Wu, Liangpeng, 2024. "An investigation into the role of Residents' cognitive preferences in distributed renewable energy development," Applied Energy, Elsevier, vol. 372(C).
  49. 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.
  50. Llewellyn, Mary & Ross, Gordon & Ryan-Saha, Joshua, 2023. "COVID-era forecasting: Google trends and window and model averaging," Annals of Tourism Research, Elsevier, vol. 103(C).
  51. Han, Shuihua & Jia, Xinyun & Chen, Xinming & Gupta, Shivam & Kumar, Ajay & Lin, Zhibin, 2022. "Search well and be wise: A machine learning approach to search for a profitable location," Journal of Business Research, Elsevier, vol. 144(C), pages 416-427.
  52. 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.
  53. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
  54. Eleonora Di Matteo & Paolo Roma & Santo Zafonte & Umberto Panniello & Lorenzo Abbate, 2021. "Development of a Decision Support System Framework for Cultural Heritage Management," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
  55. Yong Zhang & Wee Hoe Tan & Zijian Zeng, 2025. "Tourism Demand Forecasting Based on a Hybrid Temporal Neural Network Model for Sustainable Tourism," Sustainability, MDPI, vol. 17(5), pages 1-15, March.
  56. Sergei Mikhailov & Alexey Kashevnik, 2020. "Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study," Future Internet, MDPI, vol. 12(10), pages 1-16, September.
  57. 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).
  58. Mingming Hu & Haifeng Yang & Doris Chenguang Wu & Shuai Ma, 2024. "A novel two-stage combination model for tourism demand forecasting," Tourism Economics, , vol. 30(8), pages 1925-1950, December.
  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. 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.
  61. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing Tourism Demand Forecasting with a Transformer-based Framework," SocArXiv 5ezn3_v1, Center for Open Science.
  62. Hu, Mingming & Dong, Na & Hu, Fang, 2024. "Tourism demand forecasting using short video information," Annals of Tourism Research, Elsevier, vol. 109(C).
  63. Aglaya Batz & David F. D’Croz-Barón & Carlos Jesús Vega Pérez & Carlos A. Ojeda-Sanchez, 2025. "Integrating machine learning into business and management in the age of artificial intelligence," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  64. 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).
  65. Mingming Hu & Haiyan Song, 2020. "Data source combination for tourism demand forecasting," Tourism Economics, , vol. 26(7), pages 1248-1265, November.
  66. 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.
  67. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
  68. Li, Hengyun & Gao, Huicai & Song, Haiyan, 2023. "Tourism forecasting with granular sentiment analysis," Annals of Tourism Research, Elsevier, vol. 103(C).
  69. 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).
  70. Xu, Shilin & Liu, Yang & Jin, Chun, 2023. "Forecasting daily tourism demand with multiple factors," Annals of Tourism Research, Elsevier, vol. 103(C).
  71. Shogo Fukui, 2025. "Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2423-2448, April.
  72. Zhao, Xinxing & Li, Kainan & Ang, Candice Ke En & Ho, Andrew Fu Wah & Liu, Nan & Ong, Marcus Eng Hock & Cheong, Kang Hao, 2022. "A deep learning architecture for forecasting daily emergency department visits with acuity levels," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
  73. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing tourism demand forecasting with a transformer-based framework," Annals of Tourism Research, Elsevier, vol. 107(C).
  74. Zhang, Xiaowei & Yang, Yang & Zhang, Yi & Zhang, Zili, 2020. "Designing tourist experiences amidst air pollution: A spatial analytical approach using social media," Annals of Tourism Research, Elsevier, vol. 84(C).
  75. Ke Xu & Junli Zhang & Junhao Huang & Hongbo Tan & Xiuli Jing & Tianxiang Zheng, 2024. "Forecasting Visitor Arrivals at Tourist Attractions: A Time Series Framework with the N-BEATS for Sustainable Tourism," Sustainability, MDPI, vol. 16(18), pages 1-28, September.
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