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Spatial-temporal forecasting of tourism demand

Citations

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Cited by:

  1. Liang, Xiaozhen & Hong, Chenxi & Chen, Jiaqi & Wang, Yingying & Yang, Mingge, 2024. "A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect," Journal of Air Transport Management, Elsevier, vol. 118(C).
  2. Jorge V. Pérez-Rodríguez & Heiko Rachinger & Rafael Suárez-Vega, 2024. "Is peer-to-peer demand cointegrated at the listing level?," Empirical Economics, Springer, vol. 66(5), pages 2249-2275, May.
  3. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
  4. Mª Genoveva Dancausa Millán & Mª Genoveva Millán Vázquez de la Torre, 2022. "Quality Food Products as a Tourist Attraction in the Province of Córdoba (Spain)," IJERPH, MDPI, vol. 19(19), pages 1-23, October.
  5. Edmond H. C. Wu & Jihao Hu & Rui Chen, 2022. "Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(3), pages 490-507, February.
  6. 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.
  7. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
  8. 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.
  9. Sara Dalir & Abror Mahamadaminov & Hossein GT Olya, 2021. "Airbnb and taxation: Developing a seasonal tax system," Tourism Economics, , vol. 27(2), pages 365-378, March.
  10. Zheng, Weimin & Huang, Liyao & Lin, Zhibin, 2021. "Multi-attraction, hourly tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 90(C).
  11. 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).
  12. Jianxin Zhang & Yuting Yan & Jinyue Zhang & Peixue Liu & Li Ma, 2023. "Investigating the Spatial-Temporal Variation of Pre-Trip Searching in an Urban Agglomeration," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
  13. Juan L Eugenio-Martin & Roberto Patuelli, 2022. "Panel data models in tourism research: Innovative applications and methods," Tourism Economics, , vol. 28(5), pages 1348-1354, August.
  14. 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.
  15. Li, Hengyun & Hu, Mingming & Li, Gang, 2020. "Forecasting tourism demand with multisource big data," Annals of Tourism Research, Elsevier, vol. 83(C).
  16. 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).
  17. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
  18. 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.
  19. Xiaoqing Jiang, 2025. "Exploring the Impact of Metaverse Tourism Technology on Alleviating Overtourism: An Integrated Approach Using TAM and TPB," SAGE Open, , vol. 15(2), pages 21582440251, June.
  20. Llano, Carlos & Pardo, Juan & Pérez-Balsalobre, Santiago & Pérez, Julián, 2023. "Estimating multicountry tourism flows by transport mode," Annals of Tourism Research, Elsevier, vol. 103(C).
  21. 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.
  22. 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.
  23. José-Manuel Sánchez-Martín & José-Luis Gurría-Gascón & Juan-Ignacio Rengifo-Gallego, 2020. "The Distribution of Rural Accommodation in Extremadura, Spain-between the Randomness and the Suitability Achieved by Means of Regression Models (OLS vs. GWR)," Sustainability, MDPI, vol. 12(11), pages 1-29, June.
  24. Pan, Mengqiang & Liao, Zhixue & Wang, Zhouyiying & Ren, Chi & Xing, Zhibin & Li, Wenyong, 2025. "Tourism forecasting: A dynamic spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 110(C).
  25. Xu, Shilin & Liu, Yang & Jin, Chun, 2023. "Forecasting daily tourism demand with multiple factors," Annals of Tourism Research, Elsevier, vol. 103(C).
  26. 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).
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