{"id":933654,"date":"2023-04-07T10:35:23","date_gmt":"2023-04-07T17:35:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2023-04-07T10:35:23","modified_gmt":"2023-04-07T17:35:23","slug":"nature-dependent-tourism-combining-big-data-and-local-knowledge","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/nature-dependent-tourism-combining-big-data-and-local-knowledge\/","title":{"rendered":"Nature dependent tourism \u2013 Combining big data and local knowledge"},"content":{"rendered":"<p>The ability to quantify nature&#8217;s value for tourism has significant implications for\u00a0<a class=\"topic-link\" title=\"Learn more about natural resource management from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/engineering\/natural-resources-management\">natural resource management<\/a>\u00a0and\u00a0<a class=\"topic-link\" title=\"Learn more about sustainable development from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/ecodevelopment\">sustainable development<\/a>\u00a0policy. This is especially true in the Eastern Caribbean, where many countries are embracing the concept of the Blue Economy. The utilization of user-generated content (UGC) to understand tourist activities and preferences, including the use of artificial intelligence and machine learning approaches, remains at the early stages of development and application. This work describes a new effort which has modelled and mapped multiple nature dependent sectors of the tourism industry across five small island nations. It makes broad use of UGC, while acknowledging the challenges and strengthening the approach with substantive input, correction, and modification from local experts. Our approach to measuring the nature-dependency of tourism is practical and scalable, producing data, maps and statistics of sufficient detail and veracity to support sustainable resource management,\u00a0<a class=\"topic-link\" title=\"Learn more about marine spatial planning from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/marine-spatial-planning\">marine spatial planning<\/a>, and the wider promotion of the Blue Economy framework.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ability to quantify nature&#8217;s value for tourism has significant implications for\u00a0natural resource management\u00a0and\u00a0sustainable development\u00a0policy. This is especially true in the Eastern Caribbean, where many countries are embracing the concept of the Blue Economy. The utilization of user-generated content (UGC) to understand tourist activities and preferences, including the use of artificial intelligence and machine learning [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,198583],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-933654","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-ecology-environment","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2023-4","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Journal of Environmental Management","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S030147972300484X?via%3Dihub","label_id":"243109","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"https:\/\/doi.org\/10.1016\/j.jenvman.2023.117696","label_id":"243106","label":0},{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S030147972300484X\/pdfft?isDTMRedir=true&download=true","label_id":"243132","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Mark D. Spalding","user_id":0,"rest_url":false},{"type":"text","value":"Kate Longley-Wood","user_id":0,"rest_url":false},{"type":"text","value":"Valerie Pietsch McNulty","user_id":0,"rest_url":false},{"type":"text","value":"Sherry Constantine","user_id":0,"rest_url":false},{"type":"text","value":"Montserrat Acosta-Morel","user_id":0,"rest_url":false},{"type":"text","value":"Val Anthony","user_id":0,"rest_url":false},{"type":"text","value":"Aaron D. Cole","user_id":0,"rest_url":false},{"type":"text","value":"Giselle Hall","user_id":0,"rest_url":false},{"type":"text","value":"Barry A. Nickel","user_id":0,"rest_url":false},{"type":"text","value":"Steven R. Schill","user_id":0,"rest_url":false},{"type":"text","value":"Peter W. Schuhmann","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Darren Tanner","user_id":41404,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Darren Tanner"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[696544],"msr_project":[1016418],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":1016418,"post_title":"Advance Sustainability - AI for Good","post_name":"advance-sustainability-ai-for-good","post_type":"msr-project","post_date":"2024-04-02 08:57:43","post_modified":"2024-10-14 15:56:57","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/advance-sustainability-ai-for-good\/","post_excerpt":"Climate change requires swift, collective action and technological innovation. We are committed to meeting our own goals while enabling others to do the same.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1016418"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/933654"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/933654\/revisions"}],"predecessor-version":[{"id":933672,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/933654\/revisions\/933672"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=933654"}],"wp:term":[{"taxonomy":"msr-content-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-content-type?post=933654"},{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=933654"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=933654"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=933654"},{"taxonomy":"msr-product-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-product-type?post=933654"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=933654"},{"taxonomy":"msr-platform","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-platform?post=933654"},{"taxonomy":"msr-download-source","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-download-source?post=933654"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=933654"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=933654"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=933654"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=933654"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=933654"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=933654"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=933654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}