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Titlebook: Analytics in Smart Tourism Design; Concepts and Methods Zheng Xiang,Daniel R. Fesenmaier Book 2017 Springer International Publishing Switze

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發(fā)表于 2025-3-21 19:43:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Analytics in Smart Tourism Design
期刊簡稱Concepts and Methods
影響因子2023Zheng Xiang,Daniel R. Fesenmaier
視頻videohttp://file.papertrans.cn/157/156719/156719.mp4
發(fā)行地址Presents cutting-edge research on the development of analytics in travel and tourism.Introduces new conceptual frameworks and measurement tools.Includes several relevant case studies for the applicati
學(xué)科分類Tourism on the Verge
圖書封面Titlebook: Analytics in Smart Tourism Design; Concepts and Methods Zheng Xiang,Daniel R. Fesenmaier Book 2017 Springer International Publishing Switze
影響因子This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter,
Pindex Book 2017
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Geospatial Analytics for Park & Protected Land Visitor Reservation Datae value of, and the methodology for, inductively exploring spatiotemporal PPL reservation data through geovisualization. Efforts such as those described in this chapter can provide decision support to managers of Federal, State and County agencies tasked with tourism and resource management.
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Analytics in Smart Tourism Design978-3-319-44263-1Series ISSN 2366-2611 Series E-ISSN 2366-262X
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