Analyzing urban mobility based on smartphone data: The Lisbon case study

D Leal, V Albuquerque, MS Dias… - … Conference on Intelligent …, 2022 - Springer
Our paper addresses the mobility patterns in Lisbon in the vicinity of historical and
transportation points of interest, with a case study conducted in the parish of Santa Maria …

Discovering urban mobility patterns and demand for uses of urban spaces from mobile phone data

C Butron-Revilla, E Suarez-Lopez… - 2021 2nd Sustainable …, 2021 - ieeexplore.ieee.org
In sustainable urban mobility, the analysis of the daily life of citizens and mobility plans are
being developed using data obtained through traditional methods like surveys. However, it …

Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study

M Manca, L Boratto, VM Roman, OM i Gallissà… - Online social networks …, 2017 - Elsevier
The knowledge of the urban mobility is a crucial aspect for city planners and administrators.
The huge amount of geo-spatial data, generated by the combination of social media systems …

Cell phone big data to compute mobility scenarios for future smart cities

D Tosi - International Journal of Data Science and Analytics, 2017 - Springer
Efficient mobility is a key aspect for the future smart cities. The real added value for smart
cities is the real-time optimization of vehicular and public transportation flows to reduce …

Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19

C Rodrigues, M Veloso, A Alves, C Bento - ISPRS International Journal of …, 2023 - mdpi.com
The COVID-19 pandemic affected many aspects of human mobility and resulted in
unprecedented changes in population dynamics, including lifestyle and mobility …

Mapping mobility patterns to public spaces in a medium-sized city using geolocated tweets

MH Salas-Olmedo, CR Quezada - arXiv preprint arXiv:1608.02364, 2016 - arxiv.org
This research evidences the usefulness of open big data to map mobility patterns in a
medium-sized city. Motivated by the novel analysis that big data allow worldwide and in …

[PDF][PDF] Big data analytics for smart mobility: a case study.

R Trasarti, B Furletti, L Gabrielli, M Nanni… - EDBT/ICDT …, 2014 - academia.edu
This paper presents a real case study were several mobility data sources are collected in a
urban context, integrated and analyzed in order to answer a set of key questions about …

[PDF][PDF] Urban mobility data analysis in Montevideo, Uruguay

R Massobrio - 2018 - fing.edu.uy
Transportation systems play a major role in modern urban contexts, where citizens are
expected to travel in order to engage in social and economic activities. Understanding the …

Discovering and understanding city events with big data: the case of rome

B Furletti, R Trasarti, P Cintia, L Gabrielli - Information, 2017 - mdpi.com
The increasing availability of large amounts of data and digital footprints has given rise to
ambitious research challenges in many fields, which spans from medical research, financial …

Bike-sharing mobility patterns: a data-driven analysis for the city of Lisbon

V Albuquerque, F Andrade, J Ferreira, M Dias… - … Transactions on Smart …, 2021 - eudl.eu
New technologies applied to transportation services in the city, enable the shift to
sustainable transportation modes making bike-sharing systems (BSS) more popular in the …