FACTORS RELATED TO MOTORCYCLING PERFORMANCE OF THE ELDERLY: A CASE STUDY OF KHI LEK SUBDISTRICT, UBON RATCHATHANI PROVINCE, THAILAND

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Scientific Journal of Silesian University of Technology-Series Transport Pub Date : 2023-09-01 DOI:10.20858/sjsutst.2023.120.3
Laksanee Boonkhao, P. Wintachai, Supasinee Pongaree, Pongsak Rattanachaikunsopon, Warisin Baukeaw, Wannee Kaewsuk, Thitima Saenrueang
{"title":"FACTORS RELATED TO MOTORCYCLING PERFORMANCE OF THE ELDERLY: A CASE STUDY OF KHI LEK SUBDISTRICT, UBON RATCHATHANI PROVINCE, THAILAND","authors":"Laksanee Boonkhao, P. Wintachai, Supasinee Pongaree, Pongsak Rattanachaikunsopon, Warisin Baukeaw, Wannee Kaewsuk, Thitima Saenrueang","doi":"10.20858/sjsutst.2023.120.3","DOIUrl":null,"url":null,"abstract":"Thailand had a decline in traffic fatalities even though the estimate is only approximate. This study aims to examine the factors related to the motorcycling riding performance of 69 motorcyclists aged 60 and older in Khi Lek Subdistrict, Muang District, Ubon Ratchathani Province. Data were collected from interviews on driving behavior with the participants and their driving performance from the tests modeled on the Thai driving license test. Fisher’s Exact Test was used to analyze the data. The results showed that the elderly exhibited good motorcycle driving behavior (91.30 %); however, their riding ability was at the level of “need to be improved” (85.51%). They showed poor performance on the reflex test (72.46%) and the depth perception test (69.57%). The tests the participants passed were the color blindness test (100%) and the peripheral vision test (61.82%). This study also found that the average daily motorcycle driving distance (p-value = 0.045) and motorcycle driving experience (p-value = 0.036) of the older motorcycle riders were determined to be statistically significant factors. The findings are useful for responsible organizations to decide on road safety policies to lower the risks of accidents involving elderly motorcycle riders in Thailand. They could consider revoking lifetime driver’s licenses, providing training to promote safe driving techniques, and taking into account how the elderly’s riding performance is correlated to their average daily driving distance and driving experience.","PeriodicalId":43740,"journal":{"name":"Scientific Journal of Silesian University of Technology-Series Transport","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Journal of Silesian University of Technology-Series Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20858/sjsutst.2023.120.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Thailand had a decline in traffic fatalities even though the estimate is only approximate. This study aims to examine the factors related to the motorcycling riding performance of 69 motorcyclists aged 60 and older in Khi Lek Subdistrict, Muang District, Ubon Ratchathani Province. Data were collected from interviews on driving behavior with the participants and their driving performance from the tests modeled on the Thai driving license test. Fisher’s Exact Test was used to analyze the data. The results showed that the elderly exhibited good motorcycle driving behavior (91.30 %); however, their riding ability was at the level of “need to be improved” (85.51%). They showed poor performance on the reflex test (72.46%) and the depth perception test (69.57%). The tests the participants passed were the color blindness test (100%) and the peripheral vision test (61.82%). This study also found that the average daily motorcycle driving distance (p-value = 0.045) and motorcycle driving experience (p-value = 0.036) of the older motorcycle riders were determined to be statistically significant factors. The findings are useful for responsible organizations to decide on road safety policies to lower the risks of accidents involving elderly motorcycle riders in Thailand. They could consider revoking lifetime driver’s licenses, providing training to promote safe driving techniques, and taking into account how the elderly’s riding performance is correlated to their average daily driving distance and driving experience.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
老年人骑摩托车表现的相关因素:泰国汶叻差他尼省khi lek街道的个案研究
泰国的交通事故死亡人数有所下降,尽管这一估计只是近似值。本研究旨在检验乌汶-拉察哈尼省孟区Khi Lek街道69名60岁及以上摩托车手摩托车骑行性能的相关因素。数据来自对参与者驾驶行为的采访,以及他们在泰国驾照考试中的驾驶表现。采用Fisher精确检验对数据进行分析。结果表明,老年人摩托车驾驶行为良好(91.30%);然而他们的骑行能力处于“需要提高”的水平(85.51%)。他们在反射测试(72.46%)和深度感知测试(69.57%)中表现不佳。参与者通过的测试包括色盲测试(100%)和外周视觉测试(61.82%)老年摩托车驾驶员的驾驶经验(p值=0.036)被确定为具有统计学意义的因素。研究结果有助于负责任的组织制定道路安全政策,以降低泰国老年摩托车驾驶员发生事故的风险。他们可以考虑吊销终身驾驶执照,提供培训以推广安全驾驶技术,并考虑老年人的驾驶表现与他们的平均每日驾驶距离和驾驶体验之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
52
审稿时长
20 weeks
期刊最新文献
PERSPECTIVES OF MULTIFUNCTIONAL INTEGRATED SUBURBAN-URBAN RAIL TRANSPORT DEVELOPMENT ITS-PRO-FLOW: A NEW ENHANCED SHORT-TERM TRAFFIC FLOW PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEMS OPTIMAL DOCKING PROBLEM OF UAV AT DETECTED MOVING OBJECT FACTORS RELATED TO MOTORCYCLING PERFORMANCE OF THE ELDERLY: A CASE STUDY OF KHI LEK SUBDISTRICT, UBON RATCHATHANI PROVINCE, THAILAND EVALUATION OF THE TECHNOLOGICAL PROCESS OF WAGON PROCESSING AT SHUNTING STATIONS USING THE SIMULATION MODEL
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1