新加坡出租车事故的实证研究

Liujiang Kang , Yue Zhao , Qiang Meng
{"title":"新加坡出租车事故的实证研究","authors":"Liujiang Kang ,&nbsp;Yue Zhao ,&nbsp;Qiang Meng","doi":"10.1016/j.eastsj.2022.100056","DOIUrl":null,"url":null,"abstract":"<div><p>The 36-month taxi crash data include 41,538 taxi crash records distributed throughout 29 districts of Singapore (including Changi Airport), involving 16,933 taxis and 16,705 taxi drivers. We purposely use these data to analyze the impacts of nine influential factors on taxi crashes and give quantitative and practical suggestions on taxi driving safety. Our solid analysis shows that the maximum daily working time for a taxi driver is suggested to be less than 10 h for safety concerns because it could reduce the possible taxi crashes. In addition, the likelihood of taxi crashes in the daylight is the highest when compared to road conditions with streetlights or one without streetlights at all. We further use the random forest method to find the critical influential factors in blue and yellow taxi crashes. The relief and switcher modes are the two unique factors contributing to taxi crashes that are different from private car crashes. The findings of this study are of significant value for taxi operators and policymakers.</p></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"8 ","pages":"Article 100056"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2185556022000025/pdfft?md5=673ec7d0f06f20f1d74458c2ea529c32&pid=1-s2.0-S2185556022000025-main.pdf","citationCount":"1","resultStr":"{\"title\":\"An empirical study of taxi crashes in Singapore\",\"authors\":\"Liujiang Kang ,&nbsp;Yue Zhao ,&nbsp;Qiang Meng\",\"doi\":\"10.1016/j.eastsj.2022.100056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The 36-month taxi crash data include 41,538 taxi crash records distributed throughout 29 districts of Singapore (including Changi Airport), involving 16,933 taxis and 16,705 taxi drivers. We purposely use these data to analyze the impacts of nine influential factors on taxi crashes and give quantitative and practical suggestions on taxi driving safety. Our solid analysis shows that the maximum daily working time for a taxi driver is suggested to be less than 10 h for safety concerns because it could reduce the possible taxi crashes. In addition, the likelihood of taxi crashes in the daylight is the highest when compared to road conditions with streetlights or one without streetlights at all. We further use the random forest method to find the critical influential factors in blue and yellow taxi crashes. The relief and switcher modes are the two unique factors contributing to taxi crashes that are different from private car crashes. The findings of this study are of significant value for taxi operators and policymakers.</p></div>\",\"PeriodicalId\":100131,\"journal\":{\"name\":\"Asian Transport Studies\",\"volume\":\"8 \",\"pages\":\"Article 100056\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2185556022000025/pdfft?md5=673ec7d0f06f20f1d74458c2ea529c32&pid=1-s2.0-S2185556022000025-main.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Transport Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2185556022000025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Transport Studies","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2185556022000025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

36个月的出租车事故数据包括分布在新加坡29个区(包括樟宜机场)的41,538起出租车事故记录,涉及16,933辆出租车和16,705名出租车司机。我们有意利用这些数据分析了9个影响因素对出租车事故的影响,并给出了量化和实用的出租车驾驶安全建议。我们的可靠分析表明,出于安全考虑,建议出租车司机的最大每日工作时间不超过10小时,因为这可以减少可能发生的出租车撞车事故。此外,与有路灯或没有路灯的道路状况相比,在白天发生出租车撞车事故的可能性最高。我们进一步使用随机森林方法找出蓝黄出租车事故的关键影响因素。出租车事故不同于私家车事故的两个独特因素是救援和切换方式。本文的研究结果对出租车经营者和政策制定者具有重要的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
An empirical study of taxi crashes in Singapore

The 36-month taxi crash data include 41,538 taxi crash records distributed throughout 29 districts of Singapore (including Changi Airport), involving 16,933 taxis and 16,705 taxi drivers. We purposely use these data to analyze the impacts of nine influential factors on taxi crashes and give quantitative and practical suggestions on taxi driving safety. Our solid analysis shows that the maximum daily working time for a taxi driver is suggested to be less than 10 h for safety concerns because it could reduce the possible taxi crashes. In addition, the likelihood of taxi crashes in the daylight is the highest when compared to road conditions with streetlights or one without streetlights at all. We further use the random forest method to find the critical influential factors in blue and yellow taxi crashes. The relief and switcher modes are the two unique factors contributing to taxi crashes that are different from private car crashes. The findings of this study are of significant value for taxi operators and policymakers.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
0
期刊最新文献
Editorial: Logistics in Asia: The post-pandemic era How do fares affect the utilization of ride-hailing services: Evidence from Uber Japan's experiments A stochastic logistics model for Indonesia's national freight transport model: Transport chain choice from the shipper perspective Comparative analysis of various pedestrian-crossing facilities on highways and the selection of a cost-effective facility by maximizing the benefit-cost ratio Verifying the effectiveness of area division for land and population: The case of the Kofu urban area, Japan
×
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