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
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DOI | |
发表期刊 | |
ISSN | 0959-6526
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EISSN | 1879-1786
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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 | |
语种 | 英语
|
学校署名 | 其他
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资助项目 | Japan Ministry of Education, Culture, Sports, Science, and Technology (MEXT)["19K15260","17H01784"]
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WOS研究方向 | Science & Technology - Other Topics
; Engineering
; Environmental Sciences & Ecology
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WOS类目 | Green & Sustainable Science & Technology
; Engineering, Environmental
; Environmental Sciences
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WOS记录号 | WOS:000613195600018
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出版者 | |
EI入藏号 | 20205209680461
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EI主题词 | Emission control
; Global positioning system
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EI分类号 | Air Pollution Control:451.2
; Management:912.2
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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.
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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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条目包含的文件 | 条目无相关文件。 |
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