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Machine Learning to Estimate the Floating Population in Florianopolis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 27 |
| Year of Publication: 2020 |
| Authors: Denilton Luiz Darold, Carlos Roberto Da Rolt, Andrea Sabbioni |
10.5120/ijca2020920812
|
Denilton Luiz Darold, Carlos Roberto Da Rolt, Andrea Sabbioni . Machine Learning to Estimate the Floating Population in Florianopolis. International Journal of Computer Applications. 175, 27 ( Oct 2020), 1-6. DOI=10.5120/ijca2020920812
Abstract
Touristic cities experience high fluctuation in their population, especially during the summer season. For many cities and countries, tourism plays a vital role in the economy, generating revenue and creating jobs. However, this so welcome economic boost comes along with an overload on public services, once the population increases dramatically in the high season. Therefore, an accurate method to predict the touristic demand is critical to provide the city administrators the necessary information for proper planning. Moreover, the private sector depends on demand forecasting to invest and maximize its profits. The most used methods currently rely on surveys and traditional indicators like the hotel
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