The use of public spaces in a medium-sized city

From Twitter data to mobility patterns

Bibliographic Data

ID16841199
AuthorsMaría Henar Salas-Olmedo (0000-0003-3234-1478, Universidad Complutense de Madrid, corresponding author), Carolina Rojas Quezada (0000-0001-9505-4252, University of Concepción)
Year2017
Volume13
Issue1
Pages40-45
Publication date2017-01-01
Open AccessYes
TypeARTICLE
VenueJournal of Maps (JOURNAL)
Journal identifiersISSN: 1744-5647 • E-ISSN: 1744-5647
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17445647.2017.1305302
OpenAlexW3105046162
LanguageEN
Citations received4
References cited13

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 large metropolitan areas, we developed a methodology aiming to complement origin-destination surveys with à la carte spatial boundaries and updated data at a minimum cost. This paper validates the use of Twitter data to map the impact of public spaces on the different parts of the metropolitan area of Concepción (MAC), Chile. Results have been validated by local experts and evidence the main mobility patterns towards spaces of social interaction like malls, leisure areas, parks and so on. The Main Map represents the mobility patterns from census districts to different categories of public spaces with schematic lines at the metropolitan scale and it is centred in the city of Concepción (Chile) and its surroundings (∼10 kilometres)

Business · Geography · Regional science · Computer Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Urban Transport and Accessibility

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Open DOISci-HubOpen Access