MEKAN-KULLANICI İLİŞKİLERİNİN HASTANE ÖRNEĞİNDE SAYISAL OLARAK MODELLENMESİ

Bu çalışma; çok katlı kompleks yapılarda “space syntax” ölçümleri ışığında mekan-kullanıcı ilişkilerini değerlendirerek yürütülmüştür. Bu amaçla kullanıcısı için bir bilinmeyeni ifade eden hastane yapısı örneklem alanı olarak seçilmiştir. Çalışma kapsamında hastane dolaşım mekanları dikkate alınarak 3 aşamada yürütülmüştür 1) Mekanın analizi; Erişilebilirlik dokusunun analizi 2)Davranışsal analiz; Gözlenen davranışsal değişkenlerin etkilerinin ortaya konması 3) Bilişsel analizler; Mekansal bilişteki değişkenlerin etkilerinin incelenmesi. Çalışmada space syntax kullanılarak mekanın erişilebilirlik dokuları analiz edilmiş, davranışsal analizler boyunca mekanın kendi verileri ile açık keşif ve yönlenmiş keşif sırasında elde edilen rotaların analizleri karşılaştırılmıştır. Bilişsel analizlerde ise; biliş haritalar üzerinden elde edilen verilerle mekanın kendi verileri karşılaştırılmıştır. Bütünleşme ve bağlantılığı yüksek alanlar, mekandaki öğrenme ve bilgilenme sürecinde önemli bir faktör olarak karşımıza çıkmış olup, özellikle lokal bilgi mekanın öğrenilmesinde önemli bir faktör olarak görülmüştür. Kullanıcıların mekanda kaybolduğunu hissettiği anlarda hem bütünleşme hem de bağlantılığı yüksek alanları tercih ettiği ve bu alanları çizimlerine yansıttığı izlenmiştir.

A NUMERICAL MODELING OF SPACE-USER RELATIONS IN UNIVERSITY HOSPITAL STRUCTURES

This paper aims at analyzing space-user relations in complex multi-storey structures in the light of integration and connectivity measures derived from space syntax technique. A complex structure, Suleyman Demirel University Hospital which represents an unknown for its users, was taken as the sampling area. Considering hospital circulation spaces under scope the research was realized in three stages. The first stage was spatial analysis of accessibility patterns by using space syntax measures. The second stage was behavioral analysis for determining impacts of behavioral variables observed. And the final stage was cognitive analysis to review impacts of variables in space cognition. In the research stages, the analyses of routes reached during open and directed explorations with own data of space were compared throughout behavioral analyses. As per cognitive analyses, the data obtained from the maps of cognition were compared to the data of space. Conclusions suggest that the areas with high integration and connectivity are determined as key factors of learning and gathering knowledge in the space; these factors are even of great significance particularly in learning local space information. It is envisaged that users have preferred the areas with high connectivity and integration whenever they felt lost in the space.

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