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The goal of this study is to determine the contemporary problem areas of urban traffic management policy in Russia. This study applies web content analysis of search engine-generated images to explore visual narratives, social and political categories of urban traffic. It also makes use of cosmogram perspective (external depictions of urban traffic composition with connections traced between its elements). The analysis showed that urban traffic categories constitute public concern and contentious frames. It indicates Russian public opinion anxiety of specific traffic challenges that are usually out of the government and city management agenda. This study also discusses some prospects for urban governance and urban transportation assessment supported by digital analysis technologies.
Translated title of the contributionПроблемы городского транспорта: социальные проблемы и анализ цифровых данных
Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
EditorsRadomir Bolgov, Andrei Chugunov, Alexander Voiskonsky
Place of PublicationSt. Petersburg
PublisherRWTH Aahen University
Pages327-336
Number of pages10
Volume2813
ISBN (Electronic) ISSN 1613-0073
StatePublished - 15 Feb 2021
EventInternet and Modern Society - Университет ИТМО, Санкт-Петербург, Russian Federation
Duration: 17 Jun 202020 Jun 2020
Conference number: 23
http://ims.ifmo.ru/ru/pages/2/programma.htm

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

ConferenceInternet and Modern Society
Abbreviated title IMS 2020
Country/TerritoryRussian Federation
CityСанкт-Петербург
Period17/06/2020/06/20
Internet address

    Scopus subject areas

  • Social Sciences(all)
  • Computer Science(all)

    Research areas

  • Digital data analysis, Road rage, Road traffic, Social issues, Traffic congestion, Urban governance, Urban transportation, Visual sociology

ID: 74991222