000777498 000__ 04754cam\a2200517Ii\4500 000777498 001__ 777498 000777498 005__ 20230306142719.0 000777498 006__ m\\\\\o\\d\\\\\\\\ 000777498 007__ cr\nn\nnnunnun 000777498 008__ 161014s2017\\\\sz\\\\\\ob\\\\000\0\eng\d 000777498 019__ $$a960838734$$a962786957$$a965355959$$a966257343 000777498 020__ $$a9783319442631$$q(electronic book) 000777498 020__ $$a3319442635$$q(electronic book) 000777498 020__ $$z9783319442624 000777498 020__ $$z3319442627 000777498 035__ $$aSP(OCoLC)ocn960701651 000777498 035__ $$aSP(OCoLC)960701651$$z(OCoLC)960838734$$z(OCoLC)962786957$$z(OCoLC)965355959$$z(OCoLC)966257343 000777498 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dIDEBK$$dEBLCP$$dN$T$$dYDX$$dOCLCF$$dUAB$$dMERUC$$dVT2$$dIOG 000777498 049__ $$aISEA 000777498 050_4 $$aG155.A1$$bA53 2017eb 000777498 08204 $$a338.4/791$$223 000777498 24500 $$aAnalytics in smart tourism design :$$bconcepts and methods /$$cZheng Xiang, Daniel R. Fesenmaier, editors. 000777498 264_1 $$aSwitzerland :$$bSpringer,$$c[2017] 000777498 300__ $$a1 online resource (xvi, 307 pages) 000777498 336__ $$atext$$btxt$$2rdacontent 000777498 337__ $$acomputer$$bc$$2rdamedia 000777498 338__ $$aonline resource$$bcr$$2rdacarrier 000777498 4901_ $$aTourism on the verge,$$x2366-262X 000777498 504__ $$aIncludes bibliographical references. 000777498 5050_ $$aAcknowledgments; Contents; List of Contributors; Analytics in Tourism Design; 1 Introduction; 2 Foundations of Big Data Analytics; 3 Analytics in Tourism Design: Needs and Opportunities; 4 Directions for Research; References; Part I: Travel Demand Analytics; Predicting Tourist Demand Using Big Data; 1 Introduction; 2 What Is Tourism Big Data?; 3 Advantages of Using Big Data in Tourism; 4 Characteristics of Tourism Big Data; 5 Benefits of Big Data to Tourism Businesses; 5.1 Consumer Behavior; 5.2 Feedback Mechanisms; 6 How to Use Big Data in Tourism Forecasting 000777498 5058_ $$a6.1 Capturing Big Data for Tourism Forecasting7 Selecting and Shrinking Big Data; 8 A Framework for Predicting Tourism Demand Using Big Data; 9 Conclusions; References; Travel Demand Modeling with Behavioral Data; 1 Introduction; 2 Empirical Results; 2.1 Heterogeneity in Tourists; 2.2 Choice Set; 2.3 Information Hierarchy; 3 Research Avenues; 4 Conclusions; References; Part II: Analytics in Everyday Life and Travel; Measuring Human Senses and the Touristic Experience: Methods and Applications; 1 Introduction; 2 Senses and Tourism Research; 3 Psychophysiological Foundations of Senses 000777498 5058_ $$a4 Senses and Related Research4.1 Vision; 4.2 Hearing; 4.3 Smell; 4.4 Taste; 4.5 Touch; 4.6 Other Somatosensory Modalities: Movement, Temperature, and Pain; 5 Capturing TravelerÅ› Senses: Challenges and Possible Solutions; 6 Conclusions; References; The Quantified Traveler: Implications for Smart Tourism Development; 1 Introduction; 2 Emergence of the Quantified Traveler and Wearable Technologies; 2.1 The Quantified Traveler and Context-Awareness; 2.2 The Quantified Traveler and Ordinary Life; 3 The Quantified Traveler and Smart Tourism Development; 4 Conclusion; References 000777498 5058_ $$aPart III: Tourism GeoanalyticsGeospatial Analytics for Park and Protected Land Visitor Reservation Data; 1 Introduction; 2 Working with PPL Reservation Data Sets; 2.1 Lessons from Private Sector Tourism; 2.2 Preprocessing and Enriching PPL Reservation Data; 2.2.1 Enrichment from Visitor Origin Geography; 2.2.2 Enrichment of PPL Destinations Attributes; 2.3 Data Reduction and Geographic Data Mining; 2.4 Utilizing Information Generated from Geographic Data Mining; 2.5 Geovisualization for Pattern Interpretation of PPL Demand Populations 000777498 5058_ $$a2.6 Geovisualization for Pattern Interpretation of PPL Destinations3 U.S. Federally Managed PPL Reservation Data Set Example; 4 Geovisualizations for U.S. Federally Managed PPLs; 5 The Past, Present and Future of U.S. Federally Managed PPL Reservation Data; 6 Conclusions; References; GIS Monitoring of Traveler Flows Based on Big Data; 1 Introduction; 2 Literature Review; 3 Tourist Flow Analysis; 4 GIS Analysis of Tourist Flows; 5 Methodology; 6 Data Description; 7 Results; 8 Conclusions; References; Part IV: Web and Social Media Analytics: Concepts and Methods 000777498 506__ $$aAccess limited to authorized users. 000777498 588__ $$aDescription based on print version record. 000777498 650_0 $$aTourism. 000777498 650_0 $$aWeb usage mining. 000777498 7001_ $$aXiang, Zheng,$$eeditor. 000777498 7001_ $$aFesenmaier, Daniel R.,$$eeditor. 000777498 77608 $$iPrint version:$$tAnalytics in Smart Tourism Design.$$d[Place of publication not identified] : Springer Verlag 2016$$z9783319442624$$w(OCoLC)953709276 000777498 830_0 $$aTourism on the verge. 000777498 852__ $$bebk 000777498 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-44263-1$$zOnline Access$$91397441.1 000777498 909CO $$ooai:library.usi.edu:777498$$pGLOBAL_SET 000777498 980__ $$aEBOOK 000777498 980__ $$aBIB 000777498 982__ $$aEbook 000777498 983__ $$aOnline 000777498 994__ $$a92$$bISE