IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-9369-5_12.html
   My bibliography  Save this book chapter

Sustaining Tourism Sector Through Domestic Tourism and Analytics

In: Tourism Analytics Before and After COVID-19

Author

Listed:
  • Dingming Chen

    (Nanyang Technological University)

  • Pou Ing Gan

    (Nanyang Technological University)

  • Hoi Ming Lee

    (Nanyang Technological University)

  • Ziye Li

    (Nanyang Technological University)

  • Vadlamudi Santosh Krishna

    (Nanyang Technological University)

  • Quanxin Wang

    (Nanyang Technological University)

Abstract

COVID‐19 has reset the entire thinking of humanity: from how we view work, commute, communication, business continuity, lifelong learning, routines, to role of community. The pandemic has halted the mobility of people from global to community level, pushing countries to close borders, economy is slowed down due to less or even suspended goods production and distribution. Travel and tourism are among the most affected industry with a plunge in worldwide demand amid international travel restrictions to contain the virus. According to the UNWTO World Tourism Barometer (Impact assessment of the COVID-19 outbreak on international tourism | UNWTO. 202 Impact assessment of the COVID-19 outbreak on international tourism | UNWTO. [ONLINE] Available at: https://www.unwto.org/impact-assessment-of-the-covid-19-outbreak-on-international-tourism .), there is an estimated decline of about 1 billion arrivals and US$ 1.1 trillion in international tourism receipts in the year 2020, which results in an economic loss of approximately more than 2% of the world’s GDP in 2019. Many tourism-related jobs are lost in the process. This work aims to identify one or more strategies to advise the tourism industry in this difficult period impacted by COVID-19, positioning itself for recovery once the pandemic subsides. We propose analytics-enabled approach for domestic tourism for certain countries whose replacement ratio is above 1 like Singapore, Brazil and some other countries.

Suggested Citation

  • Dingming Chen & Pou Ing Gan & Hoi Ming Lee & Ziye Li & Vadlamudi Santosh Krishna & Quanxin Wang, 2023. "Sustaining Tourism Sector Through Domestic Tourism and Analytics," Springer Books, in: Yok Yen Nguwi (ed.), Tourism Analytics Before and After COVID-19, pages 199-210, Springer.
  • Handle: RePEc:spr:sprchp:978-981-19-9369-5_12
    DOI: 10.1007/978-981-19-9369-5_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-19-9369-5_12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.