| id |
ecaade2015_173 |
| authors |
Üsküplü, Taner and Çolako_lu, Birgül |
| year |
2015 |
| title |
Using Location-Based Social Network Data and Urban Topological Analyses for Predicting City Center Expansion Zones |
| source |
Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 539-544 |
| doi |
https://doi.org/10.52842/conf.ecaade.2015.1.539
|
| wos |
WOS:000372317300058 |
| summary |
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. |
| series |
eCAADe |
| email |
|
| more |
https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=84c29f10-70d9-11e5-9e88-4fdbf1ba31b3 |
| full text |
 file.pdf (6,718,156 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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