Özge Öztürk Hacar
Biographic Data
| ID | 9642209 |
|---|---|
| NAME | Özge Öztürk Hacar |
| GIVEN NAMES | Özge Öztürk |
| FAMILY NAME | Hacar |
| SIGNATURE | HACAR Ö Ö |
| AFFILIATIONS | Yıldız Technical University |
| ORCID | 0000-0002-9017-9651 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LLM-Based Map Conflation
Map conflation is essential for integrating heterogeneous road datasets, but it often requires region- and data-specific algorithm design to automate the complex identification of feature-to-feature correspondences. This effort is increased when only cartographic products are available instead of GIS-ready vectors since both digitization or matching corresponding features manually are labor-intensive. In this study, we assess the performance of a…
From sensor counts to OD flows
Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis
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…
No prominent works on this page.
Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis
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…
LLM-Based Map Conflation
Map conflation is essential for integrating heterogeneous road datasets, but it often requires region- and data-specific algorithm design to automate the complex identification of feature-to-feature correspondences. This effort is increased when only cartographic products are available instead of GIS-ready vectors since both digitization or matching corresponding features manually are labor-intensive. In this study, we assess the performance of a…
From sensor counts to OD flows
Pedestrian (2 works) · Urban Design and Spatial Analysis (2 works) · Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work) · Computer Science (1 work) · Conflation (1 work) · Digitization (1 work) · Engineering (1 work) · Evacuation and Crowd Dynamics (1 work) · False positive paradox (1 work)