AĞ MODELLERİ İLE MERKEZİ YERLER KURAMININ SENTEZİ: TÜRKİYE’DE İŞLEVSEL BÖLGELERIN BELİRLENMESİ

Refahın ülke sathında dengeli dağılımı ancak mekansal özellikleri kapsayıcı ve tamamlayıcı bir şekilde ele alan mekansal planlarla sağlanabilir. Bu planlar için işlevsel bölgeler ve bölgeler arası ilişkiler temel belirleyicilerdir. Yatay ve kademeli ilişkilerin belirlenmesinde kullanılan merkezi yerler ve ağ kuramlarının birbirilerine göre üstünlükleri vardır. Bu çalışma, bu üstünlükleri sentezleyen bir algoritmayı iller arası ticaret verilerine uygulayarak Türkiye’nin işlevsel bölgelerinin, bölge merkezlerinin ve illerinin kademeli ilişkilerini ortaya koymayı amaçlamaktadır. Ağ modeli, iller arası ilişki ağının genel özelliklerini, illerin ağdaki önemini, yatay ilişkileri ve kümeleri ortaya koyabilmekte ancak bölgesel merkezleri ve bunların etki alanını belirleme konusunda yetersiz kalmaktadır. Bu makalede ağ modellerinin söz konusu eksikliği, merkezi yerler yaklaşımıyla kural tabanlı hibrit bir algoritma geliştirilerek giderilmiştir. Algoritma, illerin Gayrı Safi Yurtiçi Hasıla (GSYH) ve coğrafi yakınlıklarına göre ticari ilişkileri merkezi yerler kuramında olduğu gibi tek yönlü bir yapıya dönüştürmektedir. Bu algoritma, kural tabanlı işlevsel bölgeler ve ağ modelleri gibi mekansal çalışmalar için ilave kısıtlar ve farklı verilerle kullanılmaya ve geliştirilmeye elverişlidir.

SYNTHESIS OF CENTRAL PLACE THEORY WITH NETWORK MODELS: DETERMINING FUNCTIONAL AREAS IN TÜRKİYE

Achieving a well-balanced distribution of welfare across the country can only be accomplished through the use of comprehensive and complementary spatial plans that consider the spatial characteristics of the structure. The main determinants for these plans are functional areas and interregional relations. Central place and network theories have advantages relative to each other when applied to horizontal and hierarchical relations This study aims to put forward functional regions, regional centers, and hierarchical relations of provinces in Türkiye through an algorithm that synthesizes these advantages based on inter-provincial trade data. Although network models can reveal general characteristics of the inter-provincial network relations, importance of a specific province in the network, and horizontal relations and clusters; they are inefficient in determining regional centers and their hinterlands. To address this deficiency of network models is relieved through developing a rule-based hybrid algorithm with central places approach. The algorithm transforms the trade relations into a one-way structure, as in central places theory according to Gross Domestic Product (GDP) and geographic proximity of the provinces. This algorithm is convenient to apply and can be developed with additional constraints and different data for the spatial studies, such as rulebased functional regions and network models.

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