TY  - JOUR
T1  - CBS ve makine öğrenmesi ile elektrikli araç şarj istasyonlarının yer seçimine etki eden kriterlerin belirlenmesi
TT  - Determination of location selection criteria of electric vehicle charging stations with GIS and machine learning
AU  - Mete, Muhammed Oğuzhan
PY  - 2025
DA  - October
Y2  - 2025
DO  - 10.28948/ngumuh.1705574
JF  - Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
JO  - NÖHÜ Müh. Bilim. Derg.
PB  - Niğde Ömer Halisdemir Üniversitesi
WT  - DergiPark
SN  - 2564-6605
SP  - 1664
EP  - 1676
VL  - 14
IS  - 4
LA  - tr
AB  - Elektrikli araç kullanımının dünya genelinde artması, yeni şarj istasyonu kurulumlarının ihtiyacını da ortaya çıkarmaktadır. Bu çalışmanın temel amacı günümüzde içten yanmalı motora sahip araçların yerini alan elektrikli araçların şarj istasyonları için uygun yer seçimi modelinin geliştirilmesidir. Bu amaç doğrultusunda Almanya’nın Münih ile İtalya’nın Milano şehirleri çalışma bölgesi olarak belirlenmiştir. Bu şehirlerin seçilmesinde elektrikli araç şarj istasyonlarının sayısının fazla olması ve ülkelerin trafik ve sürüş kültürü açısından Türkiye’ye benzerliği öne çıkmıştır. Çalışma kapsamında Coğrafi Bilgi Sistemleri (CBS) ile konumsal analizler yapılmış, Açıklanabilir Yapay Zeka (XAI) teknikleri ile regresyon analizi gerçekleştirilerek şarj istasyonları için en uygun yerlerin belirlenmesinde kullanılabilecek bir tahmin modeli geliştirilmiştir. Rastgele Orman yöntemiyle kriterlerin ağırlıkları belirlenmiş ve model doğruluğu Milano şehrinde %27 iken Münih şehrinde %87 olarak gözlemlenmiştir.  Sonuç olarak elektrikli araç şarj istasyonları için mevcuttaki istasyonlara ait kullanım verisine dayalı çıkarımlar ile en uygun konumların seçiminde etkin kriterler belirlenmiştir. Böylelikle bu alandaki yatırımların karar destek sistemi ile yönlendirilmesi sağlanarak kaynakların etkin kullanılması, elektrikli araç sahiplerine uygun ulaşım altyapısının sunulması ile fosil yakıtlı araçlardan elektrikli araçlara geçişin kolaylaştırılması amaçlanmıştır.
KW  - Açıklanabilir Yapay Zeka
KW  - Coğrafi Bilgi Sistemleri
KW  - Elektrikli Araç Şarj İstasyonu
KW  - Makine Öğrenmesi
KW  - Yer Seçim Analizi
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CR  -   Enerji Piyasası Düzenleme Kurumu (EPDK), ELEKTRİKLİ araç ve şarj altyapısı projeksiyonu. https://www.epdk.gov.tr/Detay/Icerik/4-14379/elektrikli-arac-ve-sarj-altyapisi-projeksiyonu-, Erişim tarihi 23 Mayıs 2025.
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UR  - https://doi.org/10.28948/ngumuh.1705574
L1  - https://dergipark.org.tr/tr/download/article-file/4898460
ER  -