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


Uskuplu T., Colakoglu B.

33rd International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe), Vienna, Austria, 16 - 18 September 2015, pp.539-544 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Vienna
  • Country: Austria
  • Page Numbers: pp.539-544

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.