Depreme dirençli kentler: Bursa ili Yıldırım ilçesi örneği

Year 2023, , 47 - 57, 28.12.2023

Büşra Şener , Anil Akın

https://doi.org/10.59751/agacorman.1310296

Abstract

Bu çalışma, kentsel dirençlilik ve afet dirençliliği kavramlarını tanımlamayı ve Coğrafi Bilgi
Sistemleri (CBS)’ni kullanarak depreme dirençli kentler oluşturmayı amaçlamıştır. Çalışmada
kent planlama çalışmalarının CBS ile entegre bir şekilde yürütülmesiyle, deprem ve diğer
afetlere karşı dirençli kentler oluşturulmanın ve olası afetlerde meydana gelebilecek kayıpları
önlemenin ya da minimum seviyeye indirmenin önemi vurgulanmaktadır. CBS’ye dayalı
sistemlerin bu konudaki katkılarını gösterebilmek amacıyla, Bursa’nın ilk yerleşim yerlerinden
olan, çok fazla göç alan, birçok fay hattının üzerinde ve yakınında konumlanan ve plansız ve
çarpık kentleşme yapısına sahip Yıldırım ilçesi çalışma alanı olarak seçilmiştir. Yıldırım
ilçesinin jeolojik, demografik, yapısal ve çevresel özelliklerine göre depreme olan dirençliliği
analiz edilerek yüksek ya da düşük dirence sahip bölgeleri tespit edilmiştir.

Keywords

dirençlilik, kentsel dirençlilik, deprem dirençliliği, CBS, mekansal analizler

Resilient Cities to Earthquakes: The Case of Yıldırım District, Bursa province

Abstract

This study aimed to define the concepts of urban resilience and disaster resilience, and to create earthquake-resistant cities using Geographic Information Systems (GIS). By integrating GIS into urban planning efforts, the importance of creating resilient cities against earthquakes and other disasters to prevent or minimize potential losses in case of emergencies is emphasized. To demonstrate the contributions of GIS-based systems in this regard, the district of Yıldırım, which is one of the earliest settlements in Bursa, experiences significant migration, is located near multiple fault lines, and has an unplanned and haphazard urban structure, was chosen as the study area. The earthquake resilience of Yıldırım district was analyzed based on its geological, demographic, structural, and environmental characteristics, identifying areas with high or low resilience.

Keywords

Resilience, urban resilience, earthquake resilience, GIS, spatial analysis.

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