Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding

The motorcycle has been a very popular mode of transportation throughout the nation for many years. This could be clearly seen when numbers of registered motorcycles on the roads are increasing nearly every year. This large volume of ownership heightens the probability of motorcycle accidents occurr...

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Published in:Springer Series in Design and Innovation
Main Author: Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
Format: Book chapter
Language:English
Published: Springer Nature 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198065611&doi=10.1007%2f978-3-031-60863-6_27&partnerID=40&md5=e206b1c1ee7fc570ee79d2509fa0358a
id 2-s2.0-85198065611
spelling 2-s2.0-85198065611
Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
2024
Springer Series in Design and Innovation
46

10.1007/978-3-031-60863-6_27
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198065611&doi=10.1007%2f978-3-031-60863-6_27&partnerID=40&md5=e206b1c1ee7fc570ee79d2509fa0358a
The motorcycle has been a very popular mode of transportation throughout the nation for many years. This could be clearly seen when numbers of registered motorcycles on the roads are increasing nearly every year. This large volume of ownership heightens the probability of motorcycle accidents occurring on the roads. To investigate further uncommon causes of these motorcycle road accidents, a questionnaire was developed to focus particularly on motorcyclists’ discomfort and muscle fatigue during prolonged riding. Three main phases were involved including reviewing previous related questionnaires, designing the questionnaire, and conducting pilot survey to evaluate the developed questionnaire respectively. The questionnaire consisted of four sections where each section contains several questions framed in various techniques for answering such as open-ended, multiple choices with check boxes and scale response. Related figures were also included to assist respondents in understanding the questions. A pilot survey was conducted to determine the time taken to answer all the questions and gauge their level of understanding. A commercial statistical analysis software, IBM SPSS Statistics Version 22, was used to analyze the data obtained from this pilot survey focusing on the value of Cronbach’s Alpha. Several amendments to the questions were subsequently improved to increase reliability. Finally, a set of final questionnaires both in Bahasa Melayu and English language were prepared for the full survey to further investigate motorcyclist discomfort and muscle fatigue due to prolonged motorcycle riding. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Springer Nature
26618184
English
Book chapter

author Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
spellingShingle Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
author_facet Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
author_sort Rashid H.; Omar A.R.; Wan Fauzi W.M.S.
title Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
title_short Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
title_full Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
title_fullStr Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
title_full_unstemmed Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
title_sort Development of a Questionnaire to Assess Motorcyclist Discomfort and Muscle Fatigue Related to Prolonged Motorcycle Riding
publishDate 2024
container_title Springer Series in Design and Innovation
container_volume 46
container_issue
doi_str_mv 10.1007/978-3-031-60863-6_27
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198065611&doi=10.1007%2f978-3-031-60863-6_27&partnerID=40&md5=e206b1c1ee7fc570ee79d2509fa0358a
description The motorcycle has been a very popular mode of transportation throughout the nation for many years. This could be clearly seen when numbers of registered motorcycles on the roads are increasing nearly every year. This large volume of ownership heightens the probability of motorcycle accidents occurring on the roads. To investigate further uncommon causes of these motorcycle road accidents, a questionnaire was developed to focus particularly on motorcyclists’ discomfort and muscle fatigue during prolonged riding. Three main phases were involved including reviewing previous related questionnaires, designing the questionnaire, and conducting pilot survey to evaluate the developed questionnaire respectively. The questionnaire consisted of four sections where each section contains several questions framed in various techniques for answering such as open-ended, multiple choices with check boxes and scale response. Related figures were also included to assist respondents in understanding the questions. A pilot survey was conducted to determine the time taken to answer all the questions and gauge their level of understanding. A commercial statistical analysis software, IBM SPSS Statistics Version 22, was used to analyze the data obtained from this pilot survey focusing on the value of Cronbach’s Alpha. Several amendments to the questions were subsequently improved to increase reliability. Finally, a set of final questionnaires both in Bahasa Melayu and English language were prepared for the full survey to further investigate motorcyclist discomfort and muscle fatigue due to prolonged motorcycle riding. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
publisher Springer Nature
issn 26618184
language English
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