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Hong Kong PolyU develops platform to forecast tourism demand across the Greater Bay Area

Hong Kong PolyU develops platform to forecast tourism demand across the Greater Bay Area
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International monetary fundHong kong polytechnic university polySchool of hotelHong kong polytechnic universityGreater bay areaSelf adaptive tourism demand forecasting platformGreater bayInternational monetaryHaiyan songTourism management

PolyU develops the first self-adaptive platform for tourism demand forecasts across the Greater Bay Area

PolyU develops the first self-adaptive platform for tourism demand forecasts across the Greater Bay Area
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Macau generalHong kongHong kong polyHong kong polytechnic university polyInternational monetary fundSchool of hotelHong kong polyuGreater bay areaTourism managementHong kong polytechnic universitySelf adaptive tourism demand forecasting platformHaiyan songPrincipal investigatorChair professorMrs chan chak fu professorInternational tourism

PolyU develops the first self-adaptive platform for tourism demand forecasts across the Greater Bay Area : Monday, 29th January 2024 : 4Hoteliers

PolyU develops the first self-adaptive platform for tourism demand forecasts across the Greater Bay Area : Monday, 29th January 2024 : 4Hoteliers
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Macau generalHong kongHong kong polytechnic university polySchool of hotelInternational monetary fundGreater bay areaTourism managementHong kong polytechnic universitySelf adaptive tourism demand forecasting platformPrincipal investigatorChair professorMrs chan chak fu professorInternational tourismInternational monetaryWendy kwok family foundation professorInternational hospitality management

PolyU Launches Platform for Adaptive Tourism Demand Forecast

PolyU Launches Platform for Adaptive Tourism Demand Forecast
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Macau generalHong kongSchool of hotelHong kong polytechnic universityQs world university rankingsInternational monetary fundHong kong polytechnic university polyUniversity rankingPolyu school of hotelGreater bay areaTourism managementSelf adaptive tourism demand forecasting platformPrincipal investigatorChair professorMrs chan chak fu professorInternational tourism

PolyU develops the first self-adaptive platform for tourism demand forecasts across the Greater Bay Area

Total international visitor arrivals to the Greater Bay Area (GBA) are forecasted to recover to the pre-pandemic level at close to 130 million by the end of 2024, and the total number of inbound visitor arrivals to Hong Kong to recover to the 2018 level of 65 million by 2025. These are some of the findings released by the School of Hotel and Tourism Management (SHTM) of The Hong Kong Polytechnic University (PolyU) today at the launch of a new forecasting platform under the project entitled The Development of an Automated and Self-Adaptive Tourism Demand Forecasting Platform for the Greater Bay Area (GBA-TDFP).

Hong kongMacau generalSchool of hotelInternational monetary fundHong kong polytechnic university polyUniversity rankingHong kong polytechnic universityPolyu school of hotelQs world university rankingsGreater bay areaTourism managementSelf adaptive tourism demand forecasting platformPrincipal investigatorChair professorMrs chan chak fu professorInternational tourism