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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/9/10/589 |
| _version_ | 1797551665179525120 |
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| author | Özge Öztürk Hacar Fatih Gülgen Serdar Bilgi |
| author_facet | Özge Öztürk Hacar Fatih Gülgen Serdar Bilgi |
| author_sort | Özge Öztürk Hacar |
| collection | DOAJ |
| description | 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 grouped in nominal categories was assumed as an independent variable. Another independent was one of the 15 derived measures of axial analysis and visual graphic analysis. The statistically significant model results indicated that the integration of axial analysis was the most reasonable measure that explained the pedestrian density. Then, the changes in integration values of current and master plan datasets were analysed using paired sample <i>t</i>-test. The calculated <i>p</i>-value of <i>t</i>-test proved that the master plan would change the campus morphology for pedestrians. |
| first_indexed | 2024-03-10T15:48:19Z |
| format | Article |
| id | doaj.art-f326e613c8a34f38bce7efb14a5b1600 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T15:48:19Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-f326e613c8a34f38bce7efb14a5b16002023-11-20T16:18:29ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-10-0191058910.3390/ijgi9100589Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression AnalysisÖzge Öztürk Hacar0Fatih Gülgen1Serdar Bilgi2Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul, TurkeyDepartment of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul, TurkeyDepartment of Geomatics Engineering, Istanbul Technical University, 34469 Istanbul, TurkeyThis 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 grouped in nominal categories was assumed as an independent variable. Another independent was one of the 15 derived measures of axial analysis and visual graphic analysis. The statistically significant model results indicated that the integration of axial analysis was the most reasonable measure that explained the pedestrian density. Then, the changes in integration values of current and master plan datasets were analysed using paired sample <i>t</i>-test. The calculated <i>p</i>-value of <i>t</i>-test proved that the master plan would change the campus morphology for pedestrians.https://www.mdpi.com/2220-9964/9/10/589space syntaxpedestrian densityaxial analysisvisual graph analysisintegration |
| spellingShingle | Özge Öztürk Hacar Fatih Gülgen Serdar Bilgi Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis ISPRS International Journal of Geo-Information space syntax pedestrian density axial analysis visual graph analysis integration |
| title | Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis |
| title_full | Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis |
| title_fullStr | Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis |
| title_full_unstemmed | Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis |
| title_short | Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis |
| title_sort | evaluation of the space syntax measures affecting pedestrian density through ordinal logistic regression analysis |
| topic | space syntax pedestrian density axial analysis visual graph analysis integration |
| url | https://www.mdpi.com/2220-9964/9/10/589 |
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