IDEAS home Printed from https://ideas.repec.org/r/eee/touman/v45y2014icp181-193.html
   My bibliography  Save this item

A meta-analysis of international tourism demand forecasting and implications for practice

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Rice, William L. & Park, So Young & Pan, Bing & Newman, Peter, 2019. "Forecasting campground demand in US national parks," Annals of Tourism Research, Elsevier, vol. 75(C), pages 424-438.
  2. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
  3. Gaojun Zhang & Jinfeng Wu & Bing Pan & Junyi Li & Minjie Ma & Muzi Zhang & Jian Wang, 2017. "Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model," Tourism Economics, , vol. 23(7), pages 1496-1514, November.
  4. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
  5. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
  6. 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.
  7. Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017. "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J.
  8. Helena Nemec Rudež, 2020. "Is International Tourism Growth Supported by Increased Tourism Receipts?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 13(2), pages 153-156.
  9. Tomas Havranek & Ayaz Zeynalov, 2021. "Forecasting tourist arrivals: Google Trends meets mixed-frequency data," Tourism Economics, , vol. 27(1), pages 129-148, February.
  10. Baggio, Rodolfo & Sainaghi, Ruggero, 2016. "Mapping time series into networks as a tool to assess the complex dynamics of tourism systems," Tourism Management, Elsevier, vol. 54(C), pages 23-33.
  11. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
  12. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
  13. Helena Nemec Rudez, 2018. "The Relationship between Income and Tourism Demand: Old Findings and New Research," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 11(1), pages 67-73.
  14. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," IREA Working Papers 201502, University of Barcelona, Research Institute of Applied Economics, revised Jan 2015.
  15. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
  16. Nguyen, Quang Hai, 2024. "Modeling the volatility of international air freight: A case study of Singapore using the SARIMAX-EGARCH model," Journal of Air Transport Management, Elsevier, vol. 117(C).
  17. Fejzulla Beha & Antoneta Polo & Carolina Palma, 2024. "The Institutional Impact On Touristic Industry In Southern European Union Countries," Sustainable Regional Development Scientific Journal, Sustainable Regional Development Scientific Journal, vol. 0(1), pages 93-103, July.
  18. Song, Haiyan & Wen, Long & Liu, Chang, 2019. "Density tourism demand forecasting revisited," Annals of Tourism Research, Elsevier, vol. 75(C), pages 379-392.
  19. repec:bfb:srdjou:2024-6 is not listed on IDEAS
  20. Helena Nemec Rudež, 2020. "Is International Tourism Growth Supported by Increased Tourism Receipts?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 13(2), pages 153-156.
  21. 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.
  22. Aldo Salinas & Cristian Ortiz & Pablo Ponce & Javier Changoluisa, 2023. "Does tourism activity reduce the size of the informal economy? Capturing long-term heterogeneous linkages around the world," Tourism Economics, , vol. 29(2), pages 305-347, March.
  23. Koseoglu, Mehmet Ali & Rahimi, Roya & Okumus, Fevzi & Liu, Jingyan, 2016. "Bibliometric studies in tourism," Annals of Tourism Research, Elsevier, vol. 61(C), pages 180-198.
  24. Katerina Volchek & Anyu Liu & Haiyan Song & Dimitrios Buhalis, 2019. "Forecasting tourist arrivals at attractions: Search engine empowered methodologies," Tourism Economics, , vol. 25(3), pages 425-447, May.
  25. 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.
  26. Rashad Aliyev & Sara Salehi & Rafig Aliyev, 2019. "Development of Fuzzy Time Series Model for Hotel Occupancy Forecasting," Sustainability, MDPI, vol. 11(3), pages 1-13, February.
  27. 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).
  28. Yang, Yang & Mueller, Noah J. & Croes, Robertico R., 2016. "Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors," Tourism Management, Elsevier, vol. 56(C), pages 40-51.
  29. Valencia Cárdenas, Marisol & Vanegas López, Juan Gabriel & Correa Morales, Juan Carlos & Restrepo Morales, Jorge Aníbal, 2016. "Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 199-230, December.
  30. Jie Yin & Yahua Bi & Yingchao Ji, 2020. "Structure and Formation Mechanism of China-ASEAN Tourism Cooperation," Sustainability, MDPI, vol. 12(13), pages 1-19, July.
  31. Saayman, Andrea & Viljoen, Armand & Saayman, Melville, 2018. "Africa’s outbound tourism: An Almost Ideal Demand System perspective," Annals of Tourism Research, Elsevier, vol. 73(C), pages 141-158.
  32. Jaume Rosselló-Nadal & Jianan HE, 2020. "Tourist arrivals versus tourist expenditures in modelling tourism demand," Tourism Economics, , vol. 26(8), pages 1311-1326, December.
  33. 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.
  34. Muzi Zhang & Junyi Li & Bing Pan & Gaojun Zhang, 2018. "Weekly Hotel Occupancy Forecasting of a Tourism Destination," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
  35. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
  36. Dogru, Tarik & Sirakaya-Turk, Ercan & Crouch, Geoffrey I., 2017. "Remodeling international tourism demand: Old theory and new evidence," Tourism Management, Elsevier, vol. 60(C), pages 47-55.
  37. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
  38. Hongjuan Song & Yushi Jiang, 2019. "Dynamic pricing decisions by potential tourists under uncertainty: The effects of tourism advertising," Tourism Economics, , vol. 25(2), pages 213-234, 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. Hulya Bakirtas & Vildan Gulpinar Demirci, 2022. "Can Google Trends data provide information on consumer’s perception regarding hotel brands?," Information Technology & Tourism, Springer, vol. 24(1), pages 57-83, March.
  41. 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).
  42. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," IREA Working Papers 201805, University of Barcelona, Research Institute of Applied Economics, revised Mar 2018.
  43. Jun, Wang & Yuyan, Luo & Lingyu, Tang & Peng, Ge, 2018. "Modeling a combined forecast algorithm based on sequence patterns and near characteristics: An application for tourism demand forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 108(C), pages 136-147.
  44. Hirashima, Ashley & Jones, James & Bonham, Carl S. & Fuleky, Peter, 2017. "Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism," Annals of Tourism Research, Elsevier, vol. 63(C), pages 191-202.
  45. Ya-Yen Sun & Pei-Chun Lin, 2019. "How far will we travel? A global distance pattern of international travel from both demand and supply perspectives," Tourism Economics, , vol. 25(8), pages 1200-1223, December.
  46. Oscar Claveria & Enric Monte & Salvador Torra, 2016. "Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 341-357, August.
  47. Wolfram Höpken & Tobias Eberle & Matthias Fuchs & Maria Lexhagen, 2019. "Google Trends data for analysing tourists’ online search behaviour and improving demand forecasting: the case of Åre, Sweden," Information Technology & Tourism, Springer, vol. 21(1), pages 45-62, March.
  48. Erjiang E & Ming Yu & Xin Tian & Ye Tao, 2022. "Dynamic Model Selection Based on Demand Pattern Classification in Retail Sales Forecasting," Mathematics, MDPI, vol. 10(17), pages 1-16, September.
  49. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting"," IREA Working Papers 201701, University of Barcelona, Research Institute of Applied Economics, revised Jan 2017.
  50. 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.
  51. Wai Kit Tsang & Dries F. Benoit, 2020. "Gaussian processes for daily demand prediction in tourism planning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 551-568, April.
  52. 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.
  53. Min Gon Chung & Tao Pan & Xintong Zou & Jianguo Liu, 2018. "Complex Interrelationships between Ecosystem Services Supply and Tourism Demand: General Framework and Evidence from the Origin of Three Asian Rivers," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
  54. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
  55. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
  56. Christian Myles Rogerson, 2017. "The Economic Geography of South Africa’s International Tourism Industry," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 66-80, April.
  57. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
  58. 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).
  59. Gozgor, Giray & Lau, Chi Keung Marco & Zeng, Yan & Lin, Zhibin, 2019. "The effectiveness of the legal system and inbound tourism," Annals of Tourism Research, Elsevier, vol. 76(C), pages 24-35.
  60. 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).
  61. 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.
  62. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
  63. Rockie U Kei Kuok & Tay T.R. Koo & Christine Lim, 2024. "Air transport capacity and tourism demand: A panel cointegration approach with cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model," Tourism Economics, , vol. 30(3), pages 702-727, May.
  64. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
  65. 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).
  66. Jin, Yu & Xi, Haonan & Wang, Xuhui & Ren, Xin & Yuan, Libin, 2022. "Evaluation of the Integration Policy in China: Does the Integration of Culture and Tourism Promote Tourism Development?," Annals of Tourism Research, Elsevier, vol. 97(C).
  67. Sergej Gricar, 2023. "Tourism Forecasting of “Unpredictable” Future Shocks: A Literature Review by the PRISMA Model," JRFM, MDPI, vol. 16(12), pages 1-13, November.
  68. 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.
  69. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.
  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. Theologos Dergiades & Eleni Mavragani & Bing Pan, 2017. "Arrivals of Tourists in Cyprus: Mind the Web Search Intensity," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 107, Hellenic Observatory, LSE.
  72. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.
  73. Jana Prodanova & Sonia San-Martín & Nadia Jiménez, 2017. "Enfoque teórico multidisciplinar para la provisión electrónica de servicios," DOCFRADIS Working Papers 1705, Catedra Fundación Ramón Areces de Distribución Comercial, revised Oct 2017.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.