Variation of population density on a beach: A simple analytical formulation
Open accessAbstract
Since the novel coronavirus was reported (December 2019), the virus spread rapidly breaking through frontiers and impacting almost all countries of the world. Tourism is one of the sectors that has been heavily affected by the crisis. Even though there are several protocols for tourism activities that were written for the austral summer season, at the present, physical distancing is considered an effective way to reduce the spread of the virus. Clear and simple public actions should be rapidly implemented by the authorities to minimize the number of people on the beach. For instance, increasing the number of accesses to the beaches, building parking lots adjacent to the farthest beaches, or opening coastal roads on the outskirts of town to expand usable beaches, would be some simple and direct measures to reduce the beach population density. A simple analytical formulation for assessing the percentage decrease of the static population density respect to the absolute maximum population density on a beach is described in this paper. The variables of this simple analytical tool are the instantaneous sea-level (tide), air temperature, and beach expansion. Beach expansion is the single and manageable variable of the formulation, and refers to the inclusion of some near or adjacent extension of beach. It is suggested that the expansion of beaches would be very useful not only for pandemic time but also for the new normality. An application of this methodology is presented in the municipality of La Costa, Argentina.
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Dragani et al. (2021) assessed the impact of beach width on visitor density during COVID-19 but primarily focused on beach width, neglecting other factors.
“Dragani et al. (2021) assessed the impact of beach width on visitor density during COVID-19 but primarily focused on beach width, neglecting other factors.”
From Towards integrated management of sandy anthropogenic shores: Developing tools for the exploration of human-natural interactions (2025) · cites this paper as Dragani et al., 2021
The Introduction and Conclusion describe a COVID-era model of beach population density, but its manageable variable is expansion of beach length, not beach width. The model also includes tide and air temperature. The Introduction says it deliberately excludes many other environmental and social factors for simplicity, while the Discussion acknowledges their importance; thus the claim overstates what the paper neglects. (LLM, conf=0.89)
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Bakhshianlamouki, E., Augustijn, E.-W., Brugnach, M., Voinov, A., & Wijnberg, K. (2025) · Environmental Research Communications · doi:10.1088/2515-7620/adc353
- Authors
- Dragani, W., Bacino, G., & Alonso, G.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Universidad de Buenos Aires (AR)
- Corresponding author
- Alonso, Guadalupe
- Venue
- Ocean & Coastal Management
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 208
- Pages
- 105589
- ISSN
- 0964-5691 (ISSN-L)
- PMC
- PMC9759374
- OpenAlex
- W3136071209
- Cited by
- 7
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2021: 3
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Ocean & Coastal Management (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Coastal and Marine Dynamics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, social distancing, analytical model, sea level, air temperature, tourism, coastal tourism
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