Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones

Taner Üsküplü; Birgül Çolakoglu

doi:10.52842/conf.ecaade.2015.1.539

Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones

Taner Üsküplü
, Birgül Çolakoglu

Department of Architecture

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper introduces an ongoing study that aims to combine location-based social network analyses and topological space syntax analyses for reading the city and developing urban strategies, compatibly with city center expansion trends. This study focuses on: A) Analyzing/visualization of the big data that emerged from location-based social networks that exposes activity trends of the study area. b) Revealing relationships between activity distribution and potential movement axes -that achieved through space syntax analysis- c) Evaluating potential movement axes and activity trend relations for reasoning urban decision making.

Original language	English
Title of host publication	Real Time - Extending the Reach of Computation
Editors	Bob Martens, Gabriel Wurzer, Thomas Grasl, Wolfgang E. Lorenz, Richard Schaffranek
Publisher	Education and research in Computer Aided Architectural Design in Europe
Pages	539-544
Number of pages	6
ISBN (Print)	9789491207082
DOIs	https://doi.org/10.52842/conf.ecaade.2015.1.539
Publication status	Published - 2015
Event	33rd International Conference on Education and research in Computer aided Architectural Design in Europe, eCAADe 2015 - Vienna, Austria Duration: 16 Sept 2015 → 18 Sept 2015

Publication series

Name	Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Volume	1
ISSN (Print)	2684-1843

Conference

Conference	33rd International Conference on Education and research in Computer aided Architectural Design in Europe, eCAADe 2015
Country/Territory	Austria
City	Vienna
Period	16/09/15 → 18/09/15

Bibliographical note

Publisher Copyright:
© 2015, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.

Keywords

Data visualization
Location-based social networks
Space syntax
Urban expansion
Urban prediction
Urban topology

Access to Document

10.52842/conf.ecaade.2015.1.539

Cite this

Üsküplü, T., & Çolakoglu, B. (2015). Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones. In B. Martens, G. Wurzer, T. Grasl, W. E. Lorenz, & R. Schaffranek (Eds.), Real Time - Extending the Reach of Computation (pp. 539-544). (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Vol. 1). Education and research in Computer Aided Architectural Design in Europe. https://doi.org/10.52842/conf.ecaade.2015.1.539

Üsküplü, Taner ; Çolakoglu, Birgül. / Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones. Real Time - Extending the Reach of Computation. editor / Bob Martens ; Gabriel Wurzer ; Thomas Grasl ; Wolfgang E. Lorenz ; Richard Schaffranek. Education and research in Computer Aided Architectural Design in Europe, 2015. pp. 539-544 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

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title = "Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones",

abstract = "This paper introduces an ongoing study that aims to combine location-based social network analyses and topological space syntax analyses for reading the city and developing urban strategies, compatibly with city center expansion trends. This study focuses on: A) Analyzing/visualization of the big data that emerged from location-based social networks that exposes activity trends of the study area. b) Revealing relationships between activity distribution and potential movement axes -that achieved through space syntax analysis- c) Evaluating potential movement axes and activity trend relations for reasoning urban decision making.",

keywords = "Data visualization, Location-based social networks, Space syntax, Urban expansion, Urban prediction, Urban topology",

author = "Taner {\"U}sk{\"u}pl{\"u} and Birg{\"u}l {\c C}olakoglu",

note = "Publisher Copyright: {\textcopyright} 2015, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 33rd International Conference on Education and research in Computer aided Architectural Design in Europe, eCAADe 2015 ; Conference date: 16-09-2015 Through 18-09-2015",

year = "2015",

doi = "10.52842/conf.ecaade.2015.1.539",

language = "English",

isbn = "9789491207082",

series = "Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe",

publisher = "Education and research in Computer Aided Architectural Design in Europe",

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Üsküplü, T & Çolakoglu, B 2015, Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones. in B Martens, G Wurzer, T Grasl, WE Lorenz & R Schaffranek (eds), Real Time - Extending the Reach of Computation. Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, vol. 1, Education and research in Computer Aided Architectural Design in Europe, pp. 539-544, 33rd International Conference on Education and research in Computer aided Architectural Design in Europe, eCAADe 2015, Vienna, Austria, 16/09/15. https://doi.org/10.52842/conf.ecaade.2015.1.539

Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones. / Üsküplü, Taner; Çolakoglu, Birgül.
Real Time - Extending the Reach of Computation. ed. / Bob Martens; Gabriel Wurzer; Thomas Grasl; Wolfgang E. Lorenz; Richard Schaffranek. Education and research in Computer Aided Architectural Design in Europe, 2015. p. 539-544 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper introduces an ongoing study that aims to combine location-based social network analyses and topological space syntax analyses for reading the city and developing urban strategies, compatibly with city center expansion trends. This study focuses on: A) Analyzing/visualization of the big data that emerged from location-based social networks that exposes activity trends of the study area. b) Revealing relationships between activity distribution and potential movement axes -that achieved through space syntax analysis- c) Evaluating potential movement axes and activity trend relations for reasoning urban decision making.

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KW - Space syntax

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Üsküplü T, Çolakoglu B. Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones. In Martens B, Wurzer G, Grasl T, Lorenz WE, Schaffranek R, editors, Real Time - Extending the Reach of Computation. Education and research in Computer Aided Architectural Design in Europe. 2015. p. 539-544. (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe). doi: 10.52842/conf.ecaade.2015.1.539

Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones

Abstract

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Bibliographical note

Keywords

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