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Predicting hotel demand using destination marketing organization's web traffic data

Yang, Yang; Pan, Bing; Song, Haiyan - In: Journal of travel research : a quarterly publication of … 53 (2014) 4, pp. 433-447

Persistent link: https://www.econbiz.de/10010379414

Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model

Zhang, Gaojun; Wu, Jinfeng; Pan, Bing; Li, Junyi; Ma, Minjie - In: Tourism economics : the business and finance of tourism … 23 (2017) 7, pp. 1496-1514

Persistent link: https://www.econbiz.de/10011772704

Forecasting tourism demand with composite search index

Li, Xin; Pan, Bing; Law, Rob; Huang, Xiankai - In: Tourism management : research, policies, practice 59 (2017), pp. 57-66

Persistent link: https://www.econbiz.de/10011642556

Forecasting destination weekly hotel occupancy with big data

Pan, Bing; Yang, Yang - In: Journal of travel research : a quarterly publication of … 56 (2017) 7, pp. 957-970

Persistent link: https://www.econbiz.de/10011731366

Forecasting hotel room demand using search engine data

Pan, Bing; Chenguang Wu, Doris; Song, Haiyan - In: Journal of Hospitality and Tourism Technology 3 (2012) 3, pp. 196-210

Purpose – The purpose of this paper is to investigate the usefulness of search query volume data in forecasting demand for hotel rooms and identify the best econometric forecasting model. Design/methodology/approach – The authors used search volume data on five related queries to predict...

Persistent link: https://www.econbiz.de/10014873977