Forecasting Tourist Arrivals With Google Trends And Mixed Frequency Data
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Forecasting Tourist Arrivals With Google Trends And Mixed Frequency Data
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Author : Tomáš Havránek
language : en
Publisher:
Release Date : 2018
Forecasting Tourist Arrivals With Google Trends And Mixed Frequency Data written by Tomáš Havránek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In this paper, we examine the usefulness of Google Trends data in predicting monthly tourist arrivals and overnight stays in Prague during the period between January 2010 and December 2016. We offer two contributions. First, we analyze whether Google Trends provides significant forecasting improvements over models without search data. Second, we assess whether a high-frequency variable (weekly Google Trends) is more useful for accurate forecasting than a low-frequency variable (monthly tourist arrivals) using Mixed-data sampling (MIDAS). Our results stress the potential of Google Trends to offer more accurate prediction in the context of tourism: we find that Google Trends information, both two months and one week ahead of arrivals, is useful for predicting the actual number of tourist arrivals. The MIDAS forecasting model that employs weekly Google Trends data outperforms models using monthly Google Trends data and models without Google Trends data.
Where Should We Go Internet Searches And Tourist Arrivals
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Author : Mr.Serhan Cevik
language : en
Publisher: International Monetary Fund
Release Date : 2020-01-31
Where Should We Go Internet Searches And Tourist Arrivals written by Mr.Serhan Cevik and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Business & Economics categories.
The widespread availability of internet search data is a new source of high-frequency information that can potentially improve the precision of macroeconomic forecasting, especially in areas with data constraints. This paper investigates whether travel-related online search queries enhance accuracy in the forecasting of tourist arrivals to The Bahamas from the U.S. The results indicate that the forecast model incorporating internet search data provides additional information about tourist flows over a univariate approach using the traditional autoregressive integrated moving average (ARIMA) model and multivariate models with macroeconomic indicators. The Google Trends-augmented model improves predictability of tourist arrivals by about 30 percent compared to the benchmark ARIMA model and more than 20 percent compared to the model extended only with income and relative prices.
Econometric Modelling And Forecasting Of Tourism Demand
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Author : Doris Chenguang Wu
language : en
Publisher: Taylor & Francis
Release Date : 2022-10-27
Econometric Modelling And Forecasting Of Tourism Demand written by Doris Chenguang Wu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Business & Economics categories.
This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting. Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting. Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.
Intelligent Systems And Sustainable Computing
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Author : V. Sivakumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2022-05-28
Intelligent Systems And Sustainable Computing written by V. Sivakumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-28 with Technology & Engineering categories.
The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.
Applications Of Big Data And Business Analytics In Management
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Author : Sneha Kumari
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-12-04
Applications Of Big Data And Business Analytics In Management written by Sneha Kumari and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Business & Economics categories.
Applications of Big Data and Business Analytics in Management uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
Analytics In Smart Tourism Design
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Author : Zheng Xiang
language : en
Publisher: Springer
Release Date : 2016-10-12
Analytics In Smart Tourism Design written by Zheng Xiang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-12 with Business & Economics categories.
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, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.
Winners And Losers From Covid 19 Evidence From Google Search Data For Egypt
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Author : Abay, Kibrom A.
language : un
Publisher: Intl Food Policy Res Inst
Release Date : 2020-06-23
Winners And Losers From Covid 19 Evidence From Google Search Data For Egypt written by Abay, Kibrom A. and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-23 with Political Science categories.
Evolving pieces of evidence show that services are hardest hit by the COVID-19 pandemic, both globally and in Egypt. Employing Google search data, we examine the implications of COVID-19 on demand for various services in Egypt. • We find that demand for those services that require face-to-face interaction, including hotels and restaurants, air travel and tourism services, significantly dipped after Egypt detected the first COVID-19 case and more so after the Egyptian government introduced major restrictions and curfews. For instance, in the first two months of the outbreak of the pandemic, February and March, demand for hotel and restaurant services contracted by about 70 percent. • In contrast, demand for services that substitute or reduce personal interactions, such as information and communications technologies (ICT) and delivery services, have enjoyed a significant boost. Demand for ICT services tripled, while demand for delivery services doubled in the four months since the outbreak of the pandemic. • Intuitively, these results suggest that individuals and enterprises operating in these sectors are expected to experience heterogenous impacts and damages associated with the pandemic. Our results, along with other evolving evidence, reinforce that those services and sectors negatively affected by the outbreak and spread of COVID-19 deserve attention. • Finally, our analysis highlights the potential of near real-time "big data" to substitute and complement conventional data sources to estimate economic impacts and, hence, inform immediate and medium-term policy responses.
Tourism Forecasting And Marketing
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Author : Kevin Kai Fai Wong
language : en
Publisher: Psychology Press
Release Date : 2002
Tourism Forecasting And Marketing written by Kevin Kai Fai Wong and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Business & Economics categories.
Up-to-date research on the latest practice and applications of tourism demand modelling and forcasting. The book addresses both econometric and time series approaches to forecasting, focusing on the concepts, model specification, data analysis and methodologies used in day-to-day tourism planning.
Forecasting Air Travel Demand
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Author : Yafei Zheng
language : en
Publisher: Routledge
Release Date : 2018-01-03
Forecasting Air Travel Demand written by Yafei Zheng and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-03 with Business & Economics categories.
This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.
Handbook Of Technology Application In Tourism In Asia
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Author : Azizul Hassan
language : en
Publisher: Springer Nature
Release Date : 2022-07-09
Handbook Of Technology Application In Tourism In Asia written by Azizul Hassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Business & Economics categories.
It is an undisputed reality that the tourism industry in Asia is getting exposed to more innovative technologies than ever before. This proposed book provides the latest research in the application of innovative technology to the tourism industry, covering the perspectives, innovativeness, theories, issues, complexities, opportunities and challenges. This book, a blend of comprehensive and extensive effort by the contributors and editors, is designed to cover the application and practice of technology in tourism, including the relevant niches. This book focuses on the importance of technology in tourism. This also highlights, in a comprehensive manner, specific technologies that are impacting the tourism industry in Asia, as well as the constraints the industry is facing. The contents of this book deal with distinct topics, such as mobile computing, new product designs, innovative technology usages in tourism promotion, technology-driven sustainable tourism development, location-based apps, mobility, accessibility and so on. A good number of research studies have conducted outlining the contributions and importance of technologies in tourism, in general. However, the tourism industry of Asia so far has attracted very few researchers. Some contributions have been made but not sufficient. Considering the ongoing trend of technology application in the tourism industry in Asia, very few research attempts have been made aiming to explore diverse aspects. Tourism is expanding enormously across the world. which actually creates more demands for effective technologies. This book will be a reading companion, especially for tourism students in higher academic institutions. This book will also be read by the relevant policy planners and industry professionals. Apart from them, this book will be appreciated by expatriate researchers and researchers having keen interest in the Asian tourism industry.
