3 documents found, page 1 of 1
Georeferenced analysis of urban nightlife and noise based on mobile phone data
Elvas, Luís B.; Nunes, Miguel; Ferreira, Joao C.; Francisco, Bruno; Afonso, José A.Urban environments are characterized by a complex soundscape that varies across different periods and geographical zones. This paper presents a novel approach for analyzing nocturnal urban noise patterns and identifying distinct zones using mobile phone data. Traditional noise-monitoring methods often require specialized equipment and are limited in scope. Our methodology involves gathering audio recordings fro...
Predicting people’s concentration and movements in a smart city
Ferreira, Joao C.; Francisco, Bruno; Elvas, Luis; Nunes, Miguel; Afonso, José A.With the rapid growth of urbanization and the proliferation of mobile phone usage, smart city initiatives have gained momentum in leveraging data-driven insights to enhance urban planning and resource allocation. This paper proposes a novel approach for predicting people’s concentration and movements within a smart city environment using mobile phone data provided by telecommunication operators. By harnessing t...
Mining tourists’ movement patterns in a city
Elvas, Luís B.; Nunes, Miguel; Afonso, José A.; Helgheim, Berit Irene; Francisco, BrunoAlthough tourists generate a large amount of data (known as “big data”) when they visit cities, little is known about their spatial behavior. One of the most significant issues that has recently gained attention is mobile phone usage and user behavior tracking. A spatial and temporal data visualization approach was established with the purpose of finding tourists’ footprints. This work provides a platform for c...