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题名

GPS data in urban online ride-hailing: A simulation method to evaluate impact of user scale on emission performance of system

作者
通讯作者Zhang,Haoran
发表日期
2021-03-10
DOI
发表期刊
ISSN
0959-6526
EISSN
1879-1786
卷号287
摘要
With the spread of the ride-hailing service over the world, many scholars still argue whether ride-hailing is an effective travel mode for emission reduction. Since rider-hailing is a crowdsourcing system, the user scale can have a great impact on the emission performance of the system. A clearer pattern of the impact of user scale on emission performance of the ride-hailing system should be provided for better local market development and policymaking. In this study, based on massive Didi GPS records, we proposed a cross simulation model to evaluate the impact of user scale on the emission performance of the ride-hailing system and adapted the Gibbs sampling for a comprehensive computation. The result shows a strong impact of user scale on the emission performance. The mean of void cruising distance proportion varies from 2.12% to 44.58% under all situation simulation. Moreover, according to the simulation results under different day conditions, the relationship between the user scale and emission performance is not concerned with the day condition but the local regular travel pattern. Based on this relationship, we provided approximate user scales under expected thresholds of the emission and efficiency performance of ride-hailing. This work can be a foundation and guideline for future decision making on ride-hailing.
关键词
相关链接[Scopus记录]
收录类别
EI ; SCI
语种
英语
学校署名
其他
资助项目
Japan Ministry of Education, Culture, Sports, Science, and Technology (MEXT)["19K15260","17H01784"]
WOS研究方向
Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目
Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号
WOS:000613195600018
出版者
EI入藏号
20205209680461
EI主题词
Emission control ; Global positioning system
EI分类号
Air Pollution Control:451.2 ; Management:912.2
Scopus记录号
2-s2.0-85098451150
来源库
Scopus
引用统计
被引频次[WOS]:10
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/210853
专题工学院_计算机科学与工程系
作者单位
1.Center for Spatial Information Science,The University of Tokyo,Kashiwa-shi,5-1-5 Kashiwanoha,277-8568,Japan
2.College of Computer Science and Technology,Qingdao University,Qingdao,Ningxia Road No. 308,266071,China
3.Institute of Smart City and Big Data Technology,Qingdao,Qingdao, Ningxia Road No. 308,266071,China
4.Department of Environment System,Graduate School of Frontier Sciences,The University of Tokyo,Kashiwa,5-1-5 Kashiwanoha,277-8563,Japan
5.SUSTech-UTokyo Joint Research Center on Super Smart City,Department of Computer Science and Engineering,Southern University of Science and Technology(SUSTech),Shenzhen,China
推荐引用方式
GB/T 7714
Chen,Jinyu,Li,Wenjing,Zhang,Haoran,et al. GPS data in urban online ride-hailing: A simulation method to evaluate impact of user scale on emission performance of system[J]. Journal of Cleaner Production,2021,287.
APA
Chen,Jinyu.,Li,Wenjing.,Zhang,Haoran.,Cai,Zekun.,Sui,Yi.,...&Shibasaki,Ryosuke.(2021).GPS data in urban online ride-hailing: A simulation method to evaluate impact of user scale on emission performance of system.Journal of Cleaner Production,287.
MLA
Chen,Jinyu,et al."GPS data in urban online ride-hailing: A simulation method to evaluate impact of user scale on emission performance of system".Journal of Cleaner Production 287(2021).
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