Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley
Introduction: Globally, commuting accident risks are always neglected in an organisation. There is a need to assess the impact of commuting accidents based on sociodemographic, human, vehicle, road, and environmental factors and to find suitable and effective mitigation strategies to alleviate the a...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100614/ http://psasir.upm.edu.my/id/eprint/100614/1/Development%20of%20mobile%20application%20in%20assessing%20commuting%20accident%20risk%20%28CommuRisk%29.pdf |
| _version_ | 1848863369633726464 |
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| author | Abdullah, Nur Deana Syafiqah Mahadi, Muhammad Razif Baharudin, Mohd Rafee |
| author_facet | Abdullah, Nur Deana Syafiqah Mahadi, Muhammad Razif Baharudin, Mohd Rafee |
| author_sort | Abdullah, Nur Deana Syafiqah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Introduction: Globally, commuting accident risks are always neglected in an organisation. There is a need to assess the impact of commuting accidents based on sociodemographic, human, vehicle, road, and environmental factors and to find suitable and effective mitigation strategies to alleviate the associated undesirable outcomes. Methods: This research was designed to develop a mobile application to assess commuting accident risk levels using artificial intelligence principles, as we are now in the 21st-century technology era. A total of 216 respondents from private and government industries participated in this study. Besides, to prove the developed application’s effectiveness, the study evaluated the effectiveness of the identified risk factor in determining the level of commuting risks predicted by respondents with the risk level calculated by the mobile application. Results: A major contribution of this paper is the effectiveness and accuracy of a mobile application known as CommuRisk. The app was developed using Android Studio and natively uses Java. There was a significant difference between with and without mobile applications in determining the level of commuting risks, and the effectiveness was proven with a (p-value = 0.001) at a 95% confidence interval with large sample size. Conclusion: Thus, this paper proved the effectiveness and accuracy of a mobile application in calculating risk levels exposed by commuters compared to risk levels predicted by commuters. |
| first_indexed | 2025-11-15T13:31:50Z |
| format | Article |
| id | upm-100614 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:31:50Z |
| publishDate | 2023 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1006142023-10-09T19:00:36Z http://psasir.upm.edu.my/id/eprint/100614/ Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley Abdullah, Nur Deana Syafiqah Mahadi, Muhammad Razif Baharudin, Mohd Rafee Introduction: Globally, commuting accident risks are always neglected in an organisation. There is a need to assess the impact of commuting accidents based on sociodemographic, human, vehicle, road, and environmental factors and to find suitable and effective mitigation strategies to alleviate the associated undesirable outcomes. Methods: This research was designed to develop a mobile application to assess commuting accident risk levels using artificial intelligence principles, as we are now in the 21st-century technology era. A total of 216 respondents from private and government industries participated in this study. Besides, to prove the developed application’s effectiveness, the study evaluated the effectiveness of the identified risk factor in determining the level of commuting risks predicted by respondents with the risk level calculated by the mobile application. Results: A major contribution of this paper is the effectiveness and accuracy of a mobile application known as CommuRisk. The app was developed using Android Studio and natively uses Java. There was a significant difference between with and without mobile applications in determining the level of commuting risks, and the effectiveness was proven with a (p-value = 0.001) at a 95% confidence interval with large sample size. Conclusion: Thus, this paper proved the effectiveness and accuracy of a mobile application in calculating risk levels exposed by commuters compared to risk levels predicted by commuters. Universiti Putra Malaysia Press 2023-05 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/100614/1/Development%20of%20mobile%20application%20in%20assessing%20commuting%20accident%20risk%20%28CommuRisk%29.pdf Abdullah, Nur Deana Syafiqah and Mahadi, Muhammad Razif and Baharudin, Mohd Rafee (2023) Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley. Malaysian Journal of Medicine and Health Sciences, 19 (3). art. no. 13. pp. 106-114. ISSN 2636-9346 https://medic.upm.edu.my/jurnal_kami/volume_19_2023/mjmhs_vol19_no_3_may_2023-72844 10.47836/mjmhs.19.3.14 |
| spellingShingle | Abdullah, Nur Deana Syafiqah Mahadi, Muhammad Razif Baharudin, Mohd Rafee Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title | Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title_full | Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title_fullStr | Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title_full_unstemmed | Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title_short | Development of mobile application in assessing commuting accident risk (CommuRisk) amongst commuters at Klang Valley |
| title_sort | development of mobile application in assessing commuting accident risk (commurisk) amongst commuters at klang valley |
| url | http://psasir.upm.edu.my/id/eprint/100614/ http://psasir.upm.edu.my/id/eprint/100614/ http://psasir.upm.edu.my/id/eprint/100614/ http://psasir.upm.edu.my/id/eprint/100614/1/Development%20of%20mobile%20application%20in%20assessing%20commuting%20accident%20risk%20%28CommuRisk%29.pdf |