Social network open data revealing for identification of citizens activities on urban environment objects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441767" target="_blank" >RIV/00216208:11320/21:10441767 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.procs.2021.10.002" target="_blank" >https://doi.org/10.1016/j.procs.2021.10.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2021.10.002" target="_blank" >10.1016/j.procs.2021.10.002</a>
Alternative languages
Result language
angličtina
Original language name
Social network open data revealing for identification of citizens activities on urban environment objects
Original language description
The article presents a method for processing and analyzing text data of users of social networks to determine the practical options for using urban environment objects by citizens. For example, in one Park there is a practice of sports, and in another walking with baby strollers. This allows us to solve the problem of collecting preliminary data in projects of territory development and landscaping. The problem is that citizens tend to use objects of the urban environment in various ways, including for other purposes. This depends on the traditions of the local communities, the memory of the place, habits, and other factors that are difficult to identify using traditional field research methods and surveys. The considered method allows us to get preliminary estimates of the existing options for using urban environment objects by citizens based on the analysis of publications in social networks. The use of the method will improve the planning of detailed surveys and field studies of the territory in projects of construction and development.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50401 - Sociology
Result continuities
Project
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Continuities
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Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
9
Pages from-to
4-12
Publisher name
Elsevier BV
Place of publication
Amsterdam
Event location
online
Event date
Jun 28, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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