Strategies for Tourism and Hospitality after COVID-19

Dear Colleagues,

Tourism and travel have been reduced to a minimum during the COVID-19 pandemic. Undoubtedly, COVID-19 is the worst crisis ever faced by the travel and tourism industry. Also, tourism-driven economies were severely affected by lockdowns, travel restrictions and the disappearance of international travel.

Domestic tourism is helping to cushion the blow, at least partially, and governments have taken immediate action to restore and re-activate the market, while protecting jobs and businesses. Many countries are also now developing measures to build a stronger tourism economy post COVID-19. These include developing plans to support the sustainable recovery of tourism and stimulate the digital transition promoting a greener tourism system and new technologies of health and safety in the travel and tourism sector.

The journal Tourism and Hospitality is planning a Special Issue to examine the impact of the COVID-19 pandemic on tourism and hospitality and the actions to restore and reactivate the market. A particular focus of the Special Issue is on quantitative studies using real-time data (social media data, mobility data, such as Google, website metrics, platform booking activity, etc.).

Research questions and topics might include:

• Which destinations and tourist attractions will benefit from the COVID-19 crisis?
• How will tourist demand for urban and rural tourism change during the recovery phase?
• What effects will the shift in tourism demand have on domestic tourism in the countries and regions?
• What are the characteristics of regions that specifically ask tourists not to visit for fear that tourists will transport the virus from areas of high population density to rural areas?
• What are the new policies and the new technologies adopted after COVID-19 in the travel and tourism sector?
• Modeling the duration of travel warnings for business travelers and tourists at the regional and country level.
• Use of AirDNA data to model the change in short-term rentals (Airbnb).
• Real-time crisis forecasting for different sectors and regions—building scenario techniques (i.e., shape of the turndown: V-shaped recession: steep decline, quick recovery; U-shaped recession: long period between decline and recovery; W-shaped recession: quick recovery, second decline; L-shaped recession: an extended downturn).
• Contrafactual econometric models, including times series models and panel data models, estimating the extent of the loss across regions and sectors.
• Perception of risk, vulnerabilities, and resilience by supply and demand sides using advanced methods such as conjoint analysis or choice models.

Studies that use real-time data are particularly welcome. Quantitative studies based on microdata are particularly appreciated (microeconometric methods, statistical model time series, and panel data models). Case studies for specific regions are also welcome. Standalone surveys should cover several regions to facilitate comparisons.

Prof. Dr. Martin Thomas Falk
Dr. Vilelmine Carayanni
Dr. Miriam Scaglione
Dr. Alberto Amore
Dr. Bailey Ashton Adie
Guest Editors

Manuscript Submission Information

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