| id |
ecaade2017_156 |
| authors |
Tunçer, Bige and You, Linlin |
| year |
2017 |
| title |
Informed Design Platform - Multi-modal Data to Support Urban Design Decision Making |
| source |
Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 545-552 |
| doi |
https://doi.org/10.52842/conf.ecaade.2017.2.545
|
| summary |
Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both 'big' and 'small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform. |
| keywords |
Evidence based urban design; Multi-modal data; Information modeling; Information visualization |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,125,832 bytes) |
| references |
Content-type: text/plain
|
Albino, V, Berardi, U and Dangelico, RM (2015)
 Smart cities: definitions, dimensions, performance, and initiatives
, Journal of Urban Technology, 22(1), pp. 3-21
|
|
|
|
|
Balaban, Ö. and Tunçer, B (2016)
Visualizing Urban Sports Movement
, Proceedings of eCAADe 2016, 34th Annual Conference on Education and research in Computer Aided Architectural Design ?in Europe, Oulu, Finland, pp. 89-94
|
|
|
|
|
Batty, M (2013)
Big data, smart cities and city planning
, Dialogues in Human Geography, 3(3), p. 274-279
|
|
|
|
|
Chong, GH, Brandt, R and Martin, WM (2010)
Design Informed: Driving Innovation with Evidence-Based Design
, Wiley, Chichester
|
|
|
|
|
Faludi, A and Waterhout, B (2006)
Introducing Evidence-Based Planning
, The Planning Review, 42(165), pp. 4-13
|
|
|
|
|
Khan, Z and Kiani, SL (2012)
A Cloud-Based Architecture for Citizen Services in Smart Cities
, IEEE Fifth International Conference on Utility and Cloud Computing, pp. 312-320
|
|
|
|
|
Kitchin, R (2014)
The real-time city? Big data and smart urbanism
, GeoJournal, 79(1), pp. 1-4
|
|
|
|
|
Laney, D (2001)
3D data management: controlling data volume, velocity, and variety
, META Group
|
|
|
|
|
Mark, B (2013)
Big Data Challenges for Geoinformatics: An Overview
, Geoinformatics & Geostatistics, 1(1), pp. 1-2
|
|
|
|
|
Tomarchio, L, Tunçer, B, You, L and Klein, B (2016)
Mapping Planned and Emerging Art Places in Singapore through Social Media Feeds
, Proceedings of eCAADe 2016, 34th Annual Conference on Education and research in Computer Aided Architectural Design ?in Europe, Oulu, Finland, pp. 437-446
|
|
|
|
|
You, L and Tunçer, B (2016)
Exploring public sentiments for livable places based on a crowd-calibrated sentiment analysis ?mechanism
, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ?ASONAM 2016, San Francisco, USA, pp. 693-700
|
|
|
|
| last changed |
2022/06/07 07:58 |
|
