In the following, we show how to develop a probability-density risk-map of COVID-19 contagion for London. London was chosen as it is one of the main global destinations before the pandemic, with approximately 16.38 million overseas tourists in 2019 alone (Statista 2020). We map the main tourist attractions scattered across the city and each area's risk level, square-foot by square-foot. Then, we provide examples of how prospective tourists react to the map.

Pantano, E. (2022). Probability-density risk-maps for tourism during emergencies. ANNALS OF TOURISM RESEARCH, 92, 1-6 [10.1016/j.annals.2021.103259].

Probability-density risk-maps for tourism during emergencies

Scarpi D.
;
Vannucci V.;Pantano, P.
2022

Abstract

In the following, we show how to develop a probability-density risk-map of COVID-19 contagion for London. London was chosen as it is one of the main global destinations before the pandemic, with approximately 16.38 million overseas tourists in 2019 alone (Statista 2020). We map the main tourist attractions scattered across the city and each area's risk level, square-foot by square-foot. Then, we provide examples of how prospective tourists react to the map.
2022
Pantano, E. (2022). Probability-density risk-maps for tourism during emergencies. ANNALS OF TOURISM RESEARCH, 92, 1-6 [10.1016/j.annals.2021.103259].
Pantano, E., Scarpi, D., Vannucci, V., Bilotta, E., & Pantano, P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/841891
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