Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression
Also available in printed version
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| Format: | Bachelor thesis |
| Language: | English |
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Universiti Teknologi Malaysia
2025
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| Online Access: | https://utmik.utm.my/handle/123456789/51143 |
| Abstract | Abstract here |
| _version_ | 1854975063591223296 |
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| author | Chor, Choon Seng |
| author2 | Sitti Asmah Hassan, supervisor |
| author_facet | Sitti Asmah Hassan, supervisor Chor, Choon Seng |
| author_sort | Chor, Choon Seng |
| description | Also available in printed version |
| format | Bachelor thesis |
| id | utm-123456789-51143 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-511432025-08-20T22:47:52Z Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression Chor, Choon Seng Sitti Asmah Hassan, supervisor Civil engineering Also available in printed version Accidents happens frequently around the world. Facts also show how serious the problem is where road tragic injuries estimated to be eighth leading cause of death globally. This situation is also portrayed in Malaysia where road accidents need to be taken care of by various precautionary measures. There are a lot of measures being done but the outcome is not as predicted as there is still estimated 1 death per hour in Malaysia. Thus, in this study attempt is done to develop an accident predictive model by using environmental factor. In this study, data such as accident rate is analysed and tabulated. Backward logistic regression (Wald) is used to develop a suitable model to predict the probability of road accident more than two fatalities will happens due to environmental factor. From the analysis it is found out that out of 28 environmental factors that is contributing to the happening of road accidents, 5 factors are identified as the most vital reasons and a model is developed according to the data received fahmimoksen UTM 157 p. Project Paper (Sarjana Muda Kejuruteraan (Awam)) - Universiti Teknologi Malaysia, 2018 2025-03-14T04:02:58Z 2025-03-14T04:02:58Z 2018 Bachelor thesis https://utmik.utm.my/handle/123456789/51143 vital:115732 valet-20181018-123850 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Civil engineering Chor, Choon Seng Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| thesis_level | Other |
| title | Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| title_full | Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| title_fullStr | Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| title_full_unstemmed | Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| title_short | Analysis of accident predictive model based on environmental factor at federal road in Malaysia using logistic regression |
| title_sort | analysis of accident predictive model based on environmental factor at federal road in malaysia using logistic regression |
| topic | Civil engineering |
| url | https://utmik.utm.my/handle/123456789/51143 |
| work_keys_str_mv | AT chorchoonseng analysisofaccidentpredictivemodelbasedonenvironmentalfactoratfederalroadinmalaysiausinglogisticregression |