Yüksek LisansAçık Erişim

İklim uyumlu kampüs tasarımında su yönetimi için şehir bilgi modellemesi

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2023
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Özet (EN)

Cities must deal with increasing disasters due to global climate change. University campuses are socio-ecological systems that can act like urban prototypes in which we can test self-sufficiency and resilience in their physical context. Current studies commonly look for smart city indicators and how to demonstrate them on university campuses, but most of them do not offer resilient planning and design strategies. This thesis focuses on proposing a resilient and sustainable smart campus design index. The proposed research methodology involves the determination of the index by integrating resilience and sustainability indicators, followed by a case study assessment with City Information Modeling (CIM) and climate analysis simulation with a particular attention on water. Simulation and modeling tools, including computer simulations, 3D modeling, and digital twins as part of "Smart," is used to evaluate the effectiveness of existing campus masterplan design guidelines and strategies for water related disaster resilience and sustainability. The simulation method created for this thesis can be extended and used for offering climate change adaptive design strategies of different typologies, capable of functioning for different types of hazards. The potential use of digital twin and smart city technologies in disaster-resilient university buildings and campus design is explored, and potential challenges and limitations are identified. Integrating smart city principles and resilient thinking is a major demand for the city's future sustainability. This research methodology contributes to the literature on adaptive and smart disaster-resilient urban design index. The proposed study can assist in climate change adaptation and help decision-makers support further comprehensive planning and design approaches.

Yazar

Doğa Bitik

Bu Yayına Nasıl Atıf Yapılır

Doğa Bitik (Master Thesis). İklim uyumlu kampüs tasarımında su yönetimi için şehir bilgi modellemesi, 2023, Özyeğin University.

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