Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.

The road environment is one of the factors that contribute to road accidents. Extensive research has been conducted on the diversity of road users, conditions, and environments; however, it tends to be general in focus. In Malaysia, the road environment is an important element of the Critical Nation...

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Main Authors: Abu Samah, Irza Hanie, Abd. Rashid, Intan Maizura, Naiemah, Saraih Ummi, Wan Husain, Wan Ahmad Fauzi, A. Rahim, Nur Syafiqah, Mohd. Jawi, Zulhaidi
Format: Article
Language:English
Published: Conscientia Beam 2023
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Online Access:http://eprints.utm.my/107123/1/IrzaHanie2023_UsingConfidenceIntervalBasedEstimationofRelevancetoDetermineWomens.pdf
http://eprints.utm.my/107123/
http://dx.doi.org/10.18488/35.v10i1.3256
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spelling my.utm.1071232024-08-28T06:45:25Z http://eprints.utm.my/107123/ Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19. Abu Samah, Irza Hanie Abd. Rashid, Intan Maizura Naiemah, Saraih Ummi Wan Husain, Wan Ahmad Fauzi A. Rahim, Nur Syafiqah Mohd. Jawi, Zulhaidi H Social Sciences (General) The road environment is one of the factors that contribute to road accidents. Extensive research has been conducted on the diversity of road users, conditions, and environments; however, it tends to be general in focus. In Malaysia, the road environment is an important element of the Critical National Information Infrastructure (CNII) agenda. As women play a greater role in a country’s population growth, they are considered to hold greater responsibility for the nation’s sustainability. This paper examines the road environment in Malaysia, centering on women’s perceptions and using emotions as a predictor. The study data were collected via an online Google form that was specifically targeted at female drivers. A total of 93 respondents participated in the survey. The results include an R2 value equal to 0.27 with a 99% confidence interval. The results indicate that emotions played a moderate role in determining women’s perceptions of the on-road environment. Meanwhile, respondents with negative emotions were able to separate their cognitive processes without affecting their perception. Current research indicates that the confidence interval-based estimation of relevance (CIBER) technique is efficient at predicting behavior and is useful for behavior modification in the future, which has significant implications for policy revision and recommendations. Limitations of this research include its focus on women and reliance on data collected during the pandemic, which may be different from other events or situations. Finally, this research suggests that it would be appropriate to establish future behavior interventions among road users at the national level. Conscientia Beam 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/107123/1/IrzaHanie2023_UsingConfidenceIntervalBasedEstimationofRelevancetoDetermineWomens.pdf Abu Samah, Irza Hanie and Abd. Rashid, Intan Maizura and Naiemah, Saraih Ummi and Wan Husain, Wan Ahmad Fauzi and A. Rahim, Nur Syafiqah and Mohd. Jawi, Zulhaidi (2023) Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19. Journal of Social Economics Research, 10 (1). pp. 1-10. ISSN 2312-6329 http://dx.doi.org/10.18488/35.v10i1.3256 DOI:10.18488/35.v10i1.3256
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Abu Samah, Irza Hanie
Abd. Rashid, Intan Maizura
Naiemah, Saraih Ummi
Wan Husain, Wan Ahmad Fauzi
A. Rahim, Nur Syafiqah
Mohd. Jawi, Zulhaidi
Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
description The road environment is one of the factors that contribute to road accidents. Extensive research has been conducted on the diversity of road users, conditions, and environments; however, it tends to be general in focus. In Malaysia, the road environment is an important element of the Critical National Information Infrastructure (CNII) agenda. As women play a greater role in a country’s population growth, they are considered to hold greater responsibility for the nation’s sustainability. This paper examines the road environment in Malaysia, centering on women’s perceptions and using emotions as a predictor. The study data were collected via an online Google form that was specifically targeted at female drivers. A total of 93 respondents participated in the survey. The results include an R2 value equal to 0.27 with a 99% confidence interval. The results indicate that emotions played a moderate role in determining women’s perceptions of the on-road environment. Meanwhile, respondents with negative emotions were able to separate their cognitive processes without affecting their perception. Current research indicates that the confidence interval-based estimation of relevance (CIBER) technique is efficient at predicting behavior and is useful for behavior modification in the future, which has significant implications for policy revision and recommendations. Limitations of this research include its focus on women and reliance on data collected during the pandemic, which may be different from other events or situations. Finally, this research suggests that it would be appropriate to establish future behavior interventions among road users at the national level.
format Article
author Abu Samah, Irza Hanie
Abd. Rashid, Intan Maizura
Naiemah, Saraih Ummi
Wan Husain, Wan Ahmad Fauzi
A. Rahim, Nur Syafiqah
Mohd. Jawi, Zulhaidi
author_facet Abu Samah, Irza Hanie
Abd. Rashid, Intan Maizura
Naiemah, Saraih Ummi
Wan Husain, Wan Ahmad Fauzi
A. Rahim, Nur Syafiqah
Mohd. Jawi, Zulhaidi
author_sort Abu Samah, Irza Hanie
title Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
title_short Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
title_full Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
title_fullStr Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
title_full_unstemmed Using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the Malaysian road environment during COVID-19.
title_sort using confidence interval-based estimation of relevance to determine women’s emotions and perceptions of the malaysian road environment during covid-19.
publisher Conscientia Beam
publishDate 2023
url http://eprints.utm.my/107123/1/IrzaHanie2023_UsingConfidenceIntervalBasedEstimationofRelevancetoDetermineWomens.pdf
http://eprints.utm.my/107123/
http://dx.doi.org/10.18488/35.v10i1.3256
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score 13.19449