Tourism analytics before and after COVID-19 : case studies from Asia and Europe

Tourism analytics before and after COVID-19 : case studies from Asia and Europe / Yok Yen Nguwi, editor.

This book is compilation of different analytics and machine learning techniques focusing on the tourism industry, particularly in measuring the impact of COVID-19 as well as forging a path ahead toward recovery. It includes case studies on COVID-19's effects on tourism in Europe, Hong Kong, Chi...

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Bibliographic Details
Other Authors: Nguwi, Yok Yen (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Subjects:
Since 2020
Tourism > Data processing.
COVID-19 Pandemic, 2020- > Economic aspects > Case studies.
COVID-19 Pandemic, 2020- > Social aspects > Case studies.
Tourism > Data processing
Case studies
Case studies.
Études de cas.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Contents
  • Hong Kong Tourism Under COVID-19
  • Data Preparation
  • Modeling and Results Comparison
  • Feature Importance
  • Business Analysis
  • Impact on Airlines: Case Study on Cathay Pacific and Dragon Air
  • Conclusion and Future Studies
  • References
  • Tourism Analytics, the Case for Hainan China
  • Impacts on Tourism Industry
  • Analytics Methodology
  • Model Selection
  • Conclusions
  • Reference
  • Impacts of COVID-19 on Food, Aviation, and Accommodation in Europe
  • Dataset and Analysis
  • Methodology and Experimental Results
  • Recommendation and Conclusion
  • References
  • Tourism Rebounds Analysis-Lessons from Baltics Countries
  • Business Understanding and Approach
  • Data Model Analysis
  • Tourism Income Baseline Growth Trajectory 2020-2021, Without COVID
  • XGBoost
  • Model Evaluation
  • Prediction of International Arrivals in 2020 and 2021-an Outlook Without COVID-19
  • The Case of Travel Bubble in Estonia
  • Business Case Analysis
  • Policies Effectiveness Quantitative Analysis
  • Qualitative Analysis of Other Measures for Consideration
  • Conclusion
  • References
  • Compare and Contrast the Impact of COVID-19 from Small to Large Country
  • Tourism in Singapore
  • Tourism in China
  • Tourism Analytics-The Case for South Africa
  • References
  • Hotel Booking Cancellation Analytics on Imbalanced Data
  • Data Preparation
  • Data Visualization
  • Machine Learning
  • Business Insights and Solutions
  • Conclusion
  • References
  • Tourism Prediction Analytics
  • Dataset and Analysis
  • Current Situation of COVID-19
  • Prediction of COVID-19
  • Development of Tourism/Hotel Industry
  • Seasonality of Arrivals
  • Age of Visitors
  • Purpose of Trips
  • Places of Interest
  • Hotel Industry
  • Impact of COVID-19 on Singapore's hotel industry
  • Descriptive Analysis
  • Time Series Prediction
  • Recommendation
  • Conclusion
  • References
  • Marketing Segmentation and Targeted Marketing for Tourism
  • Visualization with Descriptive Analytics
  • Business Solutions Using Machine Learning
  • Conclusion
  • References
  • Machine Learning for Tourism
  • Visualization-Based Analysis
  • Time Series Analysis
  • Machine Learning Analysis
  • Recommendation
  • Data Visualization on Tourism
  • Data Sources
  • Data Visualization and Analysis
  • Recommendation
  • Conclusion
  • References
  • Sustaining Tourism Sector Through Domestic Tourism and Analytics
  • Dataset and Analysis
  • Proposed Solution: Analytics-Enabled Domestic Tourism Model
  • References
  • Tourism Analytics with Price and Room Booking Simulation
  • Analytics Approach on Tourism
  • Price, Room Booking and Revenue Simulation
  • Scenario 1
  • Scenario 2
  • Scenario 3
  • Conclusion
  • Recommendation
  • References
  • Tourism Arrival Prediction
  • Proposed Solutions
  • Fiscal Stimulus
  • Domestic Tourism
  • Travel Bubble
  • Reshape the Travel Activities
  • References

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