Abstract
This paper presents a predictive model of Airbnb sales in Copenhagen, build on a dataset with over a 33-months of Airbnb bookings in Copenhagen and related searches on Google. Moreover, geospatial patterns of the AIRBNB listings are detected by constructing a 100 m x 100 m grid cells in UTM 32 coordinates of the city of Copenhagen. The predictive models built are a stepwise regression model, which is compared with a neural network model, both performing well on training as well as on k fold cross validation data with an R2 value on 86%-96%.
| Original language | English |
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| Title of host publication | Symposium i anvendt statistik : 22.-24. januar 2018 |
| Editors | Peter Linde |
| Number of pages | 18 |
| Place of Publication | København |
| Publisher | Institut for Fødevare- og Ressourceøkonomi, Københavns Universitet og Det Nationale Forskningscenter for Arbejdsmiljø |
| Publication date | 2018 |
| Pages | 32-49 |
| ISBN (Print) | 9788779043336 |
| Publication status | Published - 2018 |
| Event | 40. Symposium i Anvendt Statistik - Københavns Universitet, København, Denmark Duration: 22 Jan 2018 → 24 Jan 2018 Conference number: 40 http://www.statistiksymposium.dk/ |
Conference
| Conference | 40. Symposium i Anvendt Statistik |
|---|---|
| Number | 40 |
| Location | Københavns Universitet |
| Country/Territory | Denmark |
| City | København |
| Period | 22/01/2018 → 24/01/2018 |
| Internet address |