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Probability-density risk-maps for tourism during emergencies

Author

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  • Pantano, Eleonora
  • Scarpi, Daniele
  • Vannucci, Virginia
  • Bilotta, Eleonora
  • Pantano, Pietro

Abstract

•Emergencies negatively affect tourism as people are afraid for their safety.•We develop a dynamic probability-density risk model to map an area's actual risk.•Exploiting public data, an example on London, shows these maps' dynamic risk-representation.•We show that these maps help tourism during emergencies yet preserve people's safety.•These maps constitute a predictive model to formulate tourism scenarios and guide policy-making.

Suggested Citation

  • Pantano, Eleonora & Scarpi, Daniele & Vannucci, Virginia & Bilotta, Eleonora & Pantano, Pietro, 2022. "Probability-density risk-maps for tourism during emergencies," Annals of Tourism Research, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:anture:v:92:y:2022:i:c:s0160738321001377
    DOI: 10.1016/j.annals.2021.103259
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    References listed on IDEAS

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    1. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).
    2. Karabulut, Gokhan & Bilgin, Mehmet Huseyin & Demir, Ender & Doker, Asli Cansin, 2020. "How pandemics affect tourism: International evidence," Annals of Tourism Research, Elsevier, vol. 84(C).
    3. P. Castorina & A. Iorio & D. Lanteri, 2020. "Data analysis on Coronavirus spreading by macroscopic growth laws," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(07), pages 1-12, July.
    4. Ritchie, Brent W. & Jiang, Yawei, 2019. "A review of research on tourism risk, crisis and disaster management: Launching the annals of tourism research curated collection on tourism risk, crisis and disaster management," Annals of Tourism Research, Elsevier, vol. 79(C).
    5. Wolff, Katharina & Larsen, Svein & Øgaard, Torvald, 2019. "How to define and measure risk perceptions," Annals of Tourism Research, Elsevier, vol. 79(C).
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