Knowledge documents
30 August 2024
Using significant data to gain insights on tourism
Knowledge documents
30 August 2024
Adventure tourism
Coastal, maritime and inland water tourism
Cultural tourism
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"Tourism statistics: Early adopters of big data?" investigates how big data sources enhance tourism statistics, offering insights into travel trends and sustainable practices.
Eurostat
Topics
Albania
Armenia
Austria
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czechia
Denmark
Estonia
EU-27
Finland
France
Georgia
Germany
Greece
Hungary
Iceland
Ireland
Italy
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Moldova
Montenegro
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
Türkiye
Ukraine
Academic/Research and VET Institutions
Company with 250 or more employees
Consumer / tourist organisation
Cultural and Heritage Organisations
Destination Management & Marketing Organisations
EU institutions
Financial Institutions and Investors
Industry Associations and Chambers of Commerce
International Organisations
Local authorities
Media/Travel Journalist Organisations
National authorities
Networks and Federations / Confederations
NGOs / Non-profits
Regional authorities
SMEs (a company with less than 250 employees)
Trade Unions
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Specific types of tourism
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Adventure tourism
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Coastal, maritime and inland water tourism
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Cultural tourism
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Ecotourism
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Education tourism
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Festival tourism
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Gastronomy tourism
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Health and medical tourism
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MICE tourism
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Mountain tourism
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Religious tourism
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Rural tourism
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Sports tourism
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Urban/city tourism
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Wellness tourism
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Transition Pathway Strategic Areas
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Improving statistics and indicators
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Skills needs for twin transition
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Tools for data on tourism
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Tourism strategies
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Business activities
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Activities of amusement parks and theme parks
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Activities of associations and other organisations supporting tourism
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Air passenger transport
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Camping grounds, recreational vehicle parks and trailer parks
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Events catering and other food services
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Festivals, cultural and entertainment activities
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Gardens and nature reserves activities
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Holiday Housing / Apartments and other short stay accommodation
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Hotel and similar accommodation
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Mobile beverage services
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Mobile food services
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Museums
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Operation of historical sites
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Other
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Other accommodation
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Other amusement and recreation activities
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Other food and beverage services
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Other holiday reservation services
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Other tourism transportation activities
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Rail Passenger transport
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Recreational and sport activities
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Restaurants, cafes and bars (Food and Beverage serving activities)
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Road passenger transport
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Tour operator activities
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Travel agency activities
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Water (sea, coastal and inland) passenger transport
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The report "Tourism statistics: Early adopters of big data?", released on September 18, 2017, was prepared for the 6th UNWTO International Conference on Tourism Statistics. It gives an overview of different big data sources and their possible use to the compilation of tourist statistics. It looks at business process-generated data, communication systems, the World Wide Web, sensors, and crowd-sourcing techniques. Policymakers, companies, and tourists all benefits from the tourism statistics system's use of big data, which provides insights into travel trends, economic effects, and sustainable development.
#Tourism indicators #Reports
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