Akıllı Şehirleri Çok Kriterli Karar Verme ile Değerlendirme ve Sıralama

Kentsel alanlar büyümeye ve gelişmeye devam ederken, akıllı şehirlerin gelişimi, kentsel planlama ve sürdürülebilirlik açısından kritik bir konu haline gelmiştir. Şehirler, vatandaşların yaşam kalitesini sürekli arttırırken, çok sayıda kentsel işlevle başa çıkmak ve ekonomik büyümeyi artırmak için mümkün olduğunca akıllı olmaya zorlanmaktadır. Şehirler, büyük miktarda veriyi yönetmek, performansı ve verimliliği artırmak için sıklıkla veriye dayalı akıllı teknolojilere yatırım yapmaktadırlar. Ancak bir şehri akıllı olarak değerlendirebilmek için, sadece teknoloji alanında değil, çeşitli boyutlardaki kriterleri karşıladığını göstermek gerekir. Bunu belirlemenin bir yolu, şehri rakipleri arasında konumlandırmaktır. Bu makale, dünya çapında 48 şehrin akıllı şehir olma yönündeki seviyesini, başlıca iki yöntemden oluşan bir metodoloji kullanarak incelemektedir: TOPSIS ve entropi ağırlık yöntemi. Önerilen metodoloji, şehirleri yedi boyuta göre nesnel şekilde karşılaştırmaktadır. Elde edilen sıralama sonuçları, yalnızca şehirlerin akıllı şehir olmadaki genel performansını değil, aynı zamanda iyileştirmek için yatırım yapılması anlamlı olan zayıf taraflarını da vurgulamaktadır. Önerilen yaklaşım, şehir planlamacılarına, politika yapıcılara ve paydaşlara, sürdürülebilir akıllı şehirlerin gelişimi için en iyi uygulamaları belirleme, ilerlemeyi değerlendirme ve yatırımları doğru alanlara yönlendirme konusunda bir karar destek aracı olarak kullanılabilir.

Anahtar Kelimeler:

Akıllı Şehir, Dijital Altyapı, Çok Kriterli Karar Verme, TOPSIS, Entropi

Using Multi-Criteria Decision-Making for Smart City Evaluation and Ranking

As urban areas continue to grow and evolve, the development of smart cities has become a critical topic in urban planning and sustainability. Cities have been forced to become as smart as possible to deal with huge amounts of civic functions and boost economic growth, while constantly increasing citizens’ quality of life. They frequently invest in data-driven smart technologies for managing the vast amount of data and improving performance and efficiency. However, a city earns its smartness status when it satisfies criteria from various dimensions. Therefore, governments and local authorities need to direct their limited resources to the right domains. One way to determine it is to position the city among its rivals. The paper proposes a methodology for evaluating and ranking the smartness of 48 cities worldwide using two techniques: TOPSIS and the entropy weight method. The proposed framework examines the smartness of the cities considering seven dimensions. The results reveal a comprehensive ranking that not only accounts for the cities' overall performance in smart city development but also highlights specific strengths and weak areas for improvement. The proposed approach can be utilized as a decision support tool for city planners, policymakers, and stakeholders to identify best practices for the development of sustainable smart cities, evaluate progress, and direct investments to the right areas.

Keywords:

Smart City, Digital Infrastructure, Multi-Criteria Decision-Making, TOPSIS, Entropy,

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