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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Main Authors: María Henar Salas-Olmedo, Carolina Rojas Quezada
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Journal of Maps
Subjects:
Online Access:http://dx.doi.org/10.1080/17445647.2017.1305302
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spelling 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
Twitter
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
Twitter
medium-sized city
Chile
url http://dx.doi.org/10.1080/17445647.2017.1305302
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