Araştırma Makalesi

An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square

Cilt: 4 Sayı: 2 30 Eylül 2023
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An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square

Öz

Data-driven approaches are widely used to gain insight in urban dynamics and support urban decisions with pervasive adoption of information technologies. In the presented study, the students adopt data data-driven approaches to observe, and analyze public spaces, and make conceptual decisions for urban furniture in the context of the workshop. This workshop is developed within the scope of the Environmental Computing course. It is conducted with 27 students in Beyazıt Square as a case study area. In the scope of the study, open public spaces were observed and analyzed using data-driven approaches. Based on the analysis results, the students were expected to develop urban furniture design that would enhance user experience and activities in the area. This study questions how data-driven approaches aid in exploring public spaces and support design decisions. The objective of the study was to explore user-generated urban dynamics using multiple data and make decisions for urban furniture that augments urban dynamics. The conceptual design process of urban furniture is shaped as results of data-driven approach. The students were introduced to the Public Life Tools developed by the Gehl Institute for site observation. They were divided into particular groups and used relevant digital tracking applications to measure user activities, user profiles, and live traffic in the area. They evaluated the quality of place based on predetermined criteria by Gehl Institute. The phases of the study involve (1) the exploration of digital observation methods, (2) mapping observational, data, urban data, and locative media data in Geographic Information System (GIS), and (3) defining the relationships between the parameters affecting urban dynamics. (4) This was followed by making conceptual design decisions and (5) developing the design of urban furniture considering data analysis results. According to the findings, the use of data-driven observation and analysis methods has been effective in developing user scenarios, determining user profiles, identifying needs, and taking functional decisions in urban furniture design. Based on the students’ evaluation, the data-driven decision-making process was effective in identifying needs, problems, and potentials in the area. As the limitations of the study, the students stated that the use of digital observation methods and the learning process of GIS software were challenging. This study contributes to the field of urban computing through its conducted fieldwork.

Anahtar Kelimeler

Teşekkür

I would like to express our deepest gratitude to Istanbul Kültür University and the students involved in this study. Their dedicated efforts, unique insights, and rigorous inquiry significantly enriched this research. I express my profound gratitude to the students Dalya H. I. Abushawısh, Nada M.A. Elgaphry in Group S4, Rand Alnajjar and Seema Alghoranı in Group C4, Shurooq Al-hajj and Sheren Shaker in Group S2, and Özlem Özcan, Özüm Ezgi Yalçın, Asiman Cengiz in Group S1. This study is conducted in the scope of Environment Informatics, in Kultur University.

Kaynakça

  1. Ardıç, S. İ., Kırdar, G., Lima, A. B. (2020). An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case. Proceedings of the 38th ECAADe Conference on Education and Research in Computer Aided Architectural Design in Europe, 309–318.
  2. Brower, S. (1988). Design in Familiar Places: What Makes Home Environments Look Good. Greenwood Press. Campbell, J. E., & Shin, S. (2011). Essentials of Geographic Information Systems. Textbooks. https://digitalcommons.liberty.edu/textbooks/2
  3. Counterpoint. (2023). Counterpoint- Where everyone counts. https://counterpointapp.org/
  4. EMBARQ, & Gehl Architects. (2013). Istanbul Public Space Public Life. https://wrirosscities.org/sites/default/files/Istanbul-Public-Spaces-Public-Life-EMBARQ-Turkey-Gehl-Architects-Oct-2013.pdf
  5. Fusco, G. (2004). Looking for Sustainable Urban Mobility through Bayesian Networks. European Journal of Geography, 292. https://doi.org/https://doi.org/10.4000/cybergeo.2777
  6. Fusco, G. (2008). Spatial dynamics in France. In O. Pourret, P. Naim, & B. Marcot (Eds.), Bayesian Networks: A Practical Guide to Applications. John Wiley and Sons.
  7. Gehl Architects. (2015). Public life diversity toolkit: a prototype for measuring social mixing and economic integration in public space.
  8. Gehl Institute. (2017). Gehl Public Life Tool. https://gehlinstitute.org/tool/

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mimarlık ve Tasarımda Bilgi Teknolojileri, Mimarlık (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Eylül 2023

Gönderilme Tarihi

10 Temmuz 2023

Kabul Tarihi

7 Eylül 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 4 Sayı: 2

Kaynak Göster

APA
Kırdar, G. (2023). An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square. Journal of Computational Design, 4(2), 295-321. https://doi.org/10.53710/jcode.1325188
AMA
1.Kırdar G. An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square. JCoDe. 2023;4(2):295-321. doi:10.53710/jcode.1325188
Chicago
Kırdar, Gülce. 2023. “An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square”. Journal of Computational Design 4 (2): 295-321. https://doi.org/10.53710/jcode.1325188.
EndNote
Kırdar G (01 Eylül 2023) An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square. Journal of Computational Design 4 2 295–321.
IEEE
[1]G. Kırdar, “An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square”, JCoDe, c. 4, sy 2, ss. 295–321, Eyl. 2023, doi: 10.53710/jcode.1325188.
ISNAD
Kırdar, Gülce. “An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square”. Journal of Computational Design 4/2 (01 Eylül 2023): 295-321. https://doi.org/10.53710/jcode.1325188.
JAMA
1.Kırdar G. An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square. JCoDe. 2023;4:295–321.
MLA
Kırdar, Gülce. “An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square”. Journal of Computational Design, c. 4, sy 2, Eylül 2023, ss. 295-21, doi:10.53710/jcode.1325188.
Vancouver
1.Gülce Kırdar. An Exploration of Public Open Spaces with Data Driven Approaches: A Case Study of Beyazıt Square. JCoDe. 01 Eylül 2023;4(2):295-321. doi:10.53710/jcode.1325188

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