Empirical Insights into Centroid Optimization in Transportation Planning: A Novel Approach
Yazarlar (2)
Arş. Gör. Dr. İsmail ADALIOĞLU Yalova Üniversitesi, Türkiye
Doç. Dr. Murat Ergün İstanbul Teknik Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Transportation Research Record (Q3)
Dergi ISSN 0361-1981 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2025
Kabul Tarihi Yayınlanma Tarihi 24-01-2025
Cilt / Sayı / Sayfa 2679 / 6 / 18–31 DOI 10.1177/03611981241308866
Makale Linki https://doi.org/10.1177/03611981241308866
UAK Araştırma Alanları
Ulaşım Planlaması Sayısal Modelleme
Özet
In complex urban environments, sophisticated analytical techniques are essential to improve the accuracy of transportation modeling and the precision of travel time predictions. This research endeavors to critically examine various multi-zone centroid positioning strategies, with the goal of unveiling the method that most authentically represents the dynamics of urban travel. Anchored by a comprehensive case study of the city of Istanbul in Turkey, the investigation utilizes various analytical tools meticulously tailored to account for the intricate interplay of demographic and geographic variables. This methodical approach enables the identification of optimal centroid locations by evaluating various methods, including a novel approach called kernel density estimation (KDE), as well as five other established other methods. The results are then aligned with real-world travel time data through rigorous statistical analysis to …
Anahtar Kelimeler
geographic information systems | kernel density estimation transportation planning analysis and application | land use and transportation | transportation network modeling | transportation planning policy and processes | zone centroid
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Scopus 1
Google Scholar 3
Empirical Insights into Centroid Optimization in Transportation Planning: A Novel Approach

Paylaş