Smart planning tool based on future predictions for sustainable cities

Mücella Ateş

doi:10.69992/0.2024.7

Mücella Ateş

Year : 2024
Vol : 1
No : 1
Page : 120-139

DOI : 10.69992/0.2024.7

It is clear that future spatial planning cannot be conducted independently of data. In this study, I developed a 'smart planning system' that predicts future trends based on the relationships between construction area increase, green space changes, humidity, and extreme summer temperatures, which will form the foundation for resilient cities of the future. Initially, data on construction, humidity, green space, and temperature were collected and analyzed from four neighborhoods in the Etimesgut District of Ankara, Turkey's capital, between 2012 and 2021. The results showed that increased construction led to rises in summer temperature and humidity. In the second phase of the study, software named 'smart planning system' was created in Python, making future predictions based on the relationships among the data from the first phase. This software demonstrated that it is possible to foresee the outcomes of different interventions in the city and the impacts of construction in growing urban areas. Consequently, it was shown that finding solutions to avoid climatic and environmental negative impacts is possible, thereby making sustainable cities achievable. This research clearly shows the urban problems that can arise from human-induced environmental changes. ......... ......... ........ .......... ........ . ..... ..... ...... ........ ....... ....... ...... ........ .. ... ...... ....... .... .. .... ... .... ...... ... . ...... .... .. ..... ... ... .... ... .... ..... . .... . . . . . . . .. . . . . . . . . . . . . . . . . . .

Cite this Article As : Ates, M. (2024). Smart planning tool based on future predictions for sustainable cities. Thinking of Urban Decoding Journal (TUDEJ), 1(1), 120-139. https://doi.org/10.69992/0.2024.7

Description : Yazarların hiçbiri, bu makalede bahsedilen herhangi bir ürün, aygıt veya ilaç ile ilgili maddi çıkar ilişkisine sahip değildir. Araştırma, herhangi bir dış organizasyon tarafından desteklenmedi.Yazarlar çalışmanın birincil verilerine tam erişim izni vermek ve derginin talep ettiği takdirde verileri incelemesine izin vermeyi kabul etmektedirler. None of the authors, any product mentioned in this article, does not have a material interest in the device or drug. Research, not supported by any external organization. grant full access to the primary data and, if requested by the magazine they agree to allow the examination of data.

Smart planning tool based on future predictions for sustainable cities, Research Article,
2024, Vol. 1 (1)

Received : 25.07.2024, Accepted : 20.09.2024 , Published Online : 27.09.2024