Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin
This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-square test and multinomial logistic model are used in order to analyze the data. There are two objectives in this study which are to examine whether there presence significant relationship between depende...
Saved in:
Main Author: | |
---|---|
Format: | Monograph |
Language: | English |
Published: |
Univrsiti Teknologi MARA Cawangan Kelantan
2015
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/34247/1/34247.pdf http://ir.uitm.edu.my/id/eprint/34247/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.34247 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.342472020-09-14T07:01:13Z http://ir.uitm.edu.my/id/eprint/34247/ Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin Na’imuddin, Ainul Hasanah Traffic surveys Automotive transportation Traffic accidents This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-square test and multinomial logistic model are used in order to analyze the data. There are two objectives in this study which are to examine whether there presence significant relationship between dependent variable and independent variables, and to determine factors significantly influence status of road accident. The dependent variable in this study is the status of road accident while the independent variables used in this study are locality, road control, road type, road marking, type of area, surface condition and mechanical failure. Both data are in categorical. The scope of this study is all road users in Malaysia. The results of this study show that all variables have association with dependent variables using chi-square test while multinomial logistic regression shows all variables influence the status of road accident. After completing this study,it is well recommended that the law enforcement agencies should tighten the laws on the road. Other than that, Road Safety Council and other Non-Government Organization should organize more educational exhibition or talk about road safety to students and publics Univrsiti Teknologi MARA Cawangan Kelantan 2015-07 Monograph NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/34247/1/34247.pdf Na’imuddin, Ainul Hasanah (2015) Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin. Industrial / Practical Training Report. Univrsiti Teknologi MARA Cawangan Kelantan, Kota Bharu. (Unpublished) |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
Traffic surveys Automotive transportation Traffic accidents |
spellingShingle |
Traffic surveys Automotive transportation Traffic accidents Na’imuddin, Ainul Hasanah Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
description |
This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-square test and multinomial logistic model are used in order to analyze the data. There are two objectives in this study which are to examine whether there presence significant relationship between dependent variable and independent variables, and to determine factors significantly influence status of road accident. The dependent variable in this study is the status of road accident while the independent variables used in this study are locality, road control, road type, road marking, type of area, surface condition and mechanical failure. Both data are in categorical. The scope of this study is all road users in Malaysia. The results of this study show that all variables have association with dependent variables using chi-square test while multinomial logistic regression shows all variables influence the status of road accident. After completing this study,it is well recommended that the law enforcement agencies should tighten the laws on the road. Other than that, Road Safety Council and other Non-Government Organization should organize more educational exhibition or talk about road safety to students and publics |
format |
Monograph |
author |
Na’imuddin, Ainul Hasanah |
author_facet |
Na’imuddin, Ainul Hasanah |
author_sort |
Na’imuddin, Ainul Hasanah |
title |
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
title_short |
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
title_full |
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
title_fullStr |
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
title_full_unstemmed |
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin |
title_sort |
identifying factors that affecting the status of road accident in malaysia: multinomial logistic regression approach / ainul hasanah na’imuddin |
publisher |
Univrsiti Teknologi MARA Cawangan Kelantan |
publishDate |
2015 |
url |
http://ir.uitm.edu.my/id/eprint/34247/1/34247.pdf http://ir.uitm.edu.my/id/eprint/34247/ |
_version_ |
1685651168180568064 |
score |
13.160551 |