2020/05/18 by Ana Paula Gomes Ferreira, Ferreira, Ana P G, Thiago H. Silva +3
Social Sciences · #Digital Marketing and Social Media #FOS: Computer and information sciences #Geographic Information Systems Studies #Human Mobility and Location-Based Analysis #Social and Information Networks (cs.SI)
paper · pdf · doi:10.48550/arxiv.2005.09033
openalex publication_date 2020/05/18 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Tourism favors more economic activities, employment, revenues and plays a\nsignificant role in development; thus, the improvement of this activity is a\nstrategic task. In this work, we show how social sensing can be used to\nunderstand the key characteristics of the behavior of tourists and residents.\nWe observe distinct behavioral patterns in those classes, considering the\nspatial and temporal dimensions, where cultural and regional aspects might play\nan important role. Besides, we investigate how tourists move and the factors\nthat influence their movements in London, New York, Rio de Janeiro and Tokyo.\nIn addition, we propose a new approach based on a topic model that enables the\nautomatic identification of mobility pattern themes, ultimately leading to a\nbetter understanding of users' profiles. The applicability of our results is\nbroad, helping to provide better applications and services in the tourism\nsegment.\n