Applying GIS in Analysing Black Spot Areas in Penang, Malaysia
This study aims to analyze fatal accident rate involving all vehicle types in the North East District of Penang. It covers fatal accident data within the duration of three years from 2011 till 2013. The primary objective is to analyze the spatial pattern and fatal accident black spot areas using Geo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Geography, Universitas Gadjah Mada in collaboration with The Indonesian Geographers Association
2018
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/21706/1/Applying%20GIS%20in%20Analysing%20Black%20Spot%20Areas%20in%20Penang%2C%20Malaysia%20%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/21706/ https://jurnal.ugm.ac.id/ijg |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
| Summary: | This study aims to analyze fatal accident rate involving all vehicle types in the North East District of Penang. It covers fatal accident data within the duration of three years from 2011 till 2013. The primary objective is to analyze the spatial pattern and fatal accident black spot areas using Geographic Information System (GIS) application. Average Nearest Neighbor (ANN) tool is used to analyze fatal accident spatial pattern, while Kernel Density Estimation (KDE) method is utilized for fatal accident analysis. The Fatal Accident rates in 2011, 2012 and 2013 were the highest with each accounted up to 90, 88 and 91 cases. The result of ANN shows that the fatal accident pattern for 2011, 2012 and 2013 is clustered with null hypothesis rejected. The KDE analysis result shows that most fatal accident black spot areas happened at main road areas or segments. |
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