Comparative analysis of influencing factors on pedestrian road accidents
Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of the accident, and the number of people on the road at the time. Such information is useful in determining the causes of accidents and developing potential countermeasures. Thi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2023
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| Online Access: | http://eprints.utm.my/105629/1/UsmanUllahSheikh2023_ComparativeAnalysisOfInfluencingFactorsOnPedestrian.pdf |
| _version_ | 1811132171830689792 |
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| author | Hafeez, Farrukh Sheikh, Usman Ullah Al-Shammari, Saud Muhammad Hamid, Muhammad Hamid Khakwani, Abdul Baqi Khan Ahmad Arfeen, Zeeshan |
| author_facet | Hafeez, Farrukh Sheikh, Usman Ullah Al-Shammari, Saud Muhammad Hamid, Muhammad Hamid Khakwani, Abdul Baqi Khan Ahmad Arfeen, Zeeshan |
| author_sort | Hafeez, Farrukh |
| collection | ePrints |
| description | Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of the accident, and the number of people on the road at the time. Such information is useful in determining the causes of accidents and developing potential countermeasures. This research aims to determine the factors that contribute to pedestrian fatalities and injuries in traffic accidents. This study examined 150 pedestrian-vehicle accidents that took place between 1990 and 2021 in forty countries. Eleven factors have been identified as the major causes of accidents. The categorical principal component analysis (CATPCA) technique is used to reduce the number of dimensions and identify the elements that contribute to accidents. The eleven variables are classified into three groups: human factors, roadway environment, and vehicle attributes. The study found that car speed, weather, lighting, traffic conditions, area types, accident locations, and road conditions all had a significant impact on pedestrian accidents and fatalities. The findings show that a pedestrian's state (walking, running) and intention significantly increase the risk of serious injuries and death. The analysis of the driver's status suggests that the driver's intentions may also play a role in car accidents. |
| first_indexed | 2024-09-23T23:58:41Z |
| format | Article |
| id | utm.eprints-105629 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-09-23T23:58:41Z |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | utm.eprints-1056292024-05-06T06:45:55Z http://eprints.utm.my/105629/ Comparative analysis of influencing factors on pedestrian road accidents Hafeez, Farrukh Sheikh, Usman Ullah Al-Shammari, Saud Muhammad Hamid, Muhammad Hamid Khakwani, Abdul Baqi Khan Ahmad Arfeen, Zeeshan TK Electrical engineering. Electronics Nuclear engineering Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of the accident, and the number of people on the road at the time. Such information is useful in determining the causes of accidents and developing potential countermeasures. This research aims to determine the factors that contribute to pedestrian fatalities and injuries in traffic accidents. This study examined 150 pedestrian-vehicle accidents that took place between 1990 and 2021 in forty countries. Eleven factors have been identified as the major causes of accidents. The categorical principal component analysis (CATPCA) technique is used to reduce the number of dimensions and identify the elements that contribute to accidents. The eleven variables are classified into three groups: human factors, roadway environment, and vehicle attributes. The study found that car speed, weather, lighting, traffic conditions, area types, accident locations, and road conditions all had a significant impact on pedestrian accidents and fatalities. The findings show that a pedestrian's state (walking, running) and intention significantly increase the risk of serious injuries and death. The analysis of the driver's status suggests that the driver's intentions may also play a role in car accidents. Institute of Advanced Engineering and Science 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/105629/1/UsmanUllahSheikh2023_ComparativeAnalysisOfInfluencingFactorsOnPedestrian.pdf Hafeez, Farrukh and Sheikh, Usman Ullah and Al-Shammari, Saud and Muhammad Hamid, Muhammad Hamid and Khakwani, Abdul Baqi Khan and Ahmad Arfeen, Zeeshan (2023) Comparative analysis of influencing factors on pedestrian road accidents. Bulletin of Electrical Engineering and Informatics, 12 (1). pp. 257-267. ISSN 2089-3191 http://dx.doi.org/10.11591/eei.v12i1.4312 DOI : 10.11591/eei.v12i1.4312 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Hafeez, Farrukh Sheikh, Usman Ullah Al-Shammari, Saud Muhammad Hamid, Muhammad Hamid Khakwani, Abdul Baqi Khan Ahmad Arfeen, Zeeshan Comparative analysis of influencing factors on pedestrian road accidents |
| title | Comparative analysis of influencing factors on pedestrian road accidents |
| title_full | Comparative analysis of influencing factors on pedestrian road accidents |
| title_fullStr | Comparative analysis of influencing factors on pedestrian road accidents |
| title_full_unstemmed | Comparative analysis of influencing factors on pedestrian road accidents |
| title_short | Comparative analysis of influencing factors on pedestrian road accidents |
| title_sort | comparative analysis of influencing factors on pedestrian road accidents |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/105629/1/UsmanUllahSheikh2023_ComparativeAnalysisOfInfluencingFactorsOnPedestrian.pdf |
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