Layout of businesses, nightlife and leisure areas in Madrid using Twitter are illustrated here. The uncolored part corresponds to residential areas. |
Millions of Twitter users are constantly reporting where they are and
what they are doing. With this information, two Spanish computer science
experts suggest using geolocalized tweets for urban planning and land
use. They have already done it in Manhattan, Madrid and London and have
been able to identify, for example, nightlife areas of these large
cities.
Every day millions of citizens around the world generate massive
amounts of geolocalized content using mobile applications and social
networks. Especially on Twitter, which could become a sensor of
interactions between people and their environment and provide guidelines
for planning life in the city.. A forgotten issue in urbanism is land
use during the night time, with problems such as noise and dirt, which
could be improved with this type of tool.
At least this is what Enrique and Vanessa Frías-Martínez believe,
brother and sister and computer science researchers at Telefonica
Research and the University of Maryland (USA) respectively, who have
suggested using geolocalized tweets for urban planning and land use.
Their study's results were published in 'Engineering Applications of
Artificial Intelligence'.
As Enrique Frías-Martínez explained, "geolocalized tweets can be a
very useful source of information for planning, since it is an activity
carried out by a large number of people who provide information on where
they are at a specific time and what they are doing."
The researcher points out that "thanks to the increased use of
smartphones, social networks like Twitter and Facebook have made it
possible to access and produce information ubiquitously."
Geolocation tags
These networks, he adds, generate tags with the event's geolocation.
"For example, Twitter includes longitude-latitude information in the
tweet if the user so desires. Amongst possible applications we have seen
that this network could be highly suited to helping in urban planning,
especially in identifying land use."
Using Twitter, says Enrique Frías-Martínez, "you can capture
information on urban land use more efficiently and for a much larger
number of people than with questionnaires. Moreover, this type of
consultation, traditionally used until now in planning activities, are
very costly and can cause problems due to the lack of accuracy of the
answers."
The new technique "automatically determines land uses in urban areas
by grouping together geographical regions with similar patterns of
Twitter activity," says the researcher.
Using aggregate activity of tweets, the Frías-Martínez siblings have
studied land use in Manhattan, Madrid and London. In the first two cases
they identified four uses: residential, business, daytime leisure
(mainly parks and tourist areas) and nightlife areas. In London, they
also established industrial land uses. These results were validated with
open data sources.
Nightlife
"One of the most interesting contributions of the study is the
identification of nightlife areas, since this type of land use in not
often specified in urban planning, despite the problems of noise,
security and need for cleaning that this creates. Therefore, this
information is very relevant," says Frías-Martínez.
In this respect, the study has determined that, in Madrid, night-time
tweet activity is concentrated on weekends and in Manhattan, on
weekdays. On the other hand, London is characterised by its tweeting
activity in daytime leisure areas.
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