The use of public spaces in a medium-sized city: from Twitter data to mobility patterns
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 b...
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Online Access: | http://dx.doi.org/10.1080/17445647.2017.1305302 |
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doaj-a38babe8dfae4887849542f40aadec792020-11-25T02:40:23ZengTaylor & Francis GroupJournal of Maps1744-56472017-01-01131404510.1080/17445647.2017.13053021305302The use of public spaces in a medium-sized city: from Twitter data to mobility patternsMaría Henar Salas-Olmedo0Carolina Rojas Quezada1Universidad Complutense MadridUniversidad de Concepción, Centro de Desarrollo Urbano Sustentable, CEDEUSThis 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).http://dx.doi.org/10.1080/17445647.2017.1305302Mobilitypublic spacebig dataTwittermedium-sized cityChile |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
María Henar Salas-Olmedo Carolina Rojas Quezada |
spellingShingle |
María Henar Salas-Olmedo Carolina Rojas Quezada The use of public spaces in a medium-sized city: from Twitter data to mobility patterns Journal of Maps Mobility public space big data medium-sized city Chile |
author_facet |
María Henar Salas-Olmedo Carolina Rojas Quezada |
author_sort |
María Henar Salas-Olmedo |
title |
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns |
title_short |
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns |
title_full |
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns |
title_fullStr |
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns |
title_full_unstemmed |
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns |
title_sort |
use of public spaces in a medium-sized city: from twitter data to mobility patterns |
publisher |
Taylor & Francis Group |
series |
Journal of Maps |
issn |
1744-5647 |
publishDate |
2017-01-01 |
description |
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). |
topic |
Mobility public space big data medium-sized city Chile |
url |
http://dx.doi.org/10.1080/17445647.2017.1305302 |
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