A cellular automata-based approach for spatio-temporal modeling of the city center as a complex system: The case of Kastamonu, Türkiye
Yazarlar (2)
Doç. Dr. Öznur IŞINKARALAR Kastamonu Üniversitesi, Türkiye
Cigdem Varol Gazi Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Cities (Q1)
Dergi ISSN 0264-2751 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SSCI
Makale Dili İngilizce Basım Tarihi 01-2023
Kabul Tarihi Yayınlanma Tarihi 01-01-2023
Cilt / Sayı / Sayfa 132 / 1 / 104073–0 DOI 10.1016/j.cities.2022.104073
Makale Linki https://www.sciencedirect.com/science/article/pii/S0264275122005121?via%3Dihub
UAK Araştırma Alanları
İklim Değişikliği ve Planlama Planlamada Sürdürülebilirlik, Dayanıklılık, Ekoloji ve Enerji Şehir Planlama
Özet
Cities are located at the intersection of global interactions and analytical modeling of space is an essential progression to understand the organizational structure of today's cities, which consist of complex networks and self-organizing processes that affect their nonlinear development. The cellular automata-Markov chain (CA-MC) modeling is a preferred method in predictive modeling and land use change studies of complex systems. It is widely used in modeling land use/land cover change. In this paper, the land use change between 1985-2021 in the Kastamonu city center has been examined within the framework of complexity theory. It is aimed to develop a quantitative model for the comparative measurement of temporal complexity variation. In this context, scenarios were designed with two basic approaches; self-organizing and planned city center development and simulations were made for the years 2031 and …
Anahtar Kelimeler
Cellular automata | Complexity theory | GIS | Land use prediction | Markov chain | Urban modeling