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Fatih Gülgen

Biographic Data

ID6746769
NAMEFatih Gülgen
GIVEN NAMESFatih
FAMILY NAMEGülgen
SIGNATUREGÜLGEN F
AFFILIATIONSYıldız Technical University
ORCID0000-0002-8754-9017
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • From sensor counts to OD flows

    Open Access•Özge Öztürk Hacar, Luca Pappalardo et al.•ARTICLE•Journal of Transport Geography•2026

  • Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis

    Open Access•Özge Öztürk Hacar, Özge Hacar et al.•ARTICLE•ISPRS International Journal of…•2020

    This paper examines the relationship between pedestrian density and space syntax measures in a university campus using ordinal logistic regression analysis. The pedestrian density assumed as the dependent variable of regression analysis was categorised in low, medium, and high classes by using Jenks natural break classification. The data elements of groups were derived from pedestrian counts performed in 22 gates 132 times. The counting period gr…

  • Investigating the quality of reverse geocoding services using text similarity techniques and logistic regression analysis

    Batuhan Kılıç, Fatih Gülgen•ARTICLE•Cartography and Geographic…•2020•References: 2

    Location, usually defined by postal address information or geographic coordinate values, is one of the leading themes in geography. Famous global mapping services such as ArcGIS Online, Bing Maps, Google Maps, or Yandex Maps can provide users with address information of any geographic coordinates using reverse geocoding. The accuracy of retrieved addresses is quite essential for a service user. Several researchers have evaluated the accuracy of t…

No prominent works on this page.

  • Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis

    Open Access•Özge Öztürk Hacar, Özge Hacar et al.•ARTICLE•ISPRS International Journal of…•2020

    This paper examines the relationship between pedestrian density and space syntax measures in a university campus using ordinal logistic regression analysis. The pedestrian density assumed as the dependent variable of regression analysis was categorised in low, medium, and high classes by using Jenks natural break classification. The data elements of groups were derived from pedestrian counts performed in 22 gates 132 times. The counting period gr…

  • Investigating the quality of reverse geocoding services using text similarity techniques and logistic regression analysis

    Batuhan Kılıç, Fatih Gülgen•ARTICLE•Cartography and Geographic…•2020•References: 2

    Location, usually defined by postal address information or geographic coordinate values, is one of the leading themes in geography. Famous global mapping services such as ArcGIS Online, Bing Maps, Google Maps, or Yandex Maps can provide users with address information of any geographic coordinates using reverse geocoding. The accuracy of retrieved addresses is quite essential for a service user. Several researchers have evaluated the accuracy of t…

  • From sensor counts to OD flows

    Open Access•Özge Öztürk Hacar, Luca Pappalardo et al.•ARTICLE•Journal of Transport Geography•2026

Artificial Intelligence (2 works) · Computer Science (2 works) · Geography (2 works) · Pedestrian (2 works) · Urban Design and Spatial Analysis (2 works) · Cartography (1 work) · Cluster analysis (1 work) · Data mining (1 work) · Data Quality and Management (1 work) · Data-Driven Disease Surveillance (1 work)

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