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Smart city article details
| Title | Smart City, Big Data, Little People: A Case Study On Istanbul’S Public Transport Data |
|---|---|
| ID_Doc | 50599 |
| Authors | Kizilkaya E.; Rizvanoglu K.; Guney S. |
| Year | 2024 |
| Published | Lecture Notes in Networks and Systems, 921 LNNS |
| DOI | http://dx.doi.org/10.1007/978-3-031-54053-0_5 |
| Abstract | Over the course of two years, a team of researchers collaborated with the Istanbul Metropolitan Municipality (IBB) in a joint research endeavor. The project aimed to leverage a substantial 30-gigabyte dataset containing information on more than 265 million mass transit journeys to serve public interest, with a particular emphasis on enhancing the urban experience of international students through locative media applications. This article presents a case study on communication that explores the intricate and evolving network of both human and non-human actors involved, employing Actor-Network Theory (ANT), a sociological approach designed to study relationships within heterogeneous networks. Fundamental methodological principles of ANT - agnosticism, generalized symmetry, and free association - were utilized to decipher the “moments of translation”. The article proceeds to discuss a unique set of observed effects specific to the context of a developing country's “fraying” metropolis, its distinct “buffer mechanisms”, and its patron-client network relations. It concludes by proposing the integration of the concept of affordances to enhance ANT critically and further the cause of public interest-oriented urban co-governance of Big Data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. |
| Author Keywords | Actor-network theory; Data governance; Geographical information systems; Human-computer interaction; Smart cities; Urban studies |
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