Tourism is an essential economic activity for some regions and countries that has been increasing its value for governments and private companies in the last years. Some researches, found in state of the art, have demonstrated the importance of knowing how tourists behave. Furthermore, several approaches have been performed to identify tourist behavior in different places worldwide using different data sets. Thus, this study’s main purpose is to identify domestic tourists using bank card transactions and define an attractiveness function for every region in the country through the Huff model. Additionally, some communities will be generated for describing tourism mobility. The results obtained in the present work reveal a new way of defining domestic tourists and a function to estimate the attractiveness level for departments in Peru. / Trabajo de investigación
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/18611 |
| Date | 16 March 2021 |
| Creators | Rojas Bustamante, Leibnitz Pavel |
| Contributors | Alatrista Salas, Hugo, Núñez del Prado Cortez, Miguel |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/closedAccess |
Page generated in 0.0018 seconds