通过多级服务提升乘车外包市场的水平

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-06-12 DOI:10.1016/j.tbs.2024.100845
Xiaoran Qin , Hai Yang , Wei Liu
{"title":"通过多级服务提升乘车外包市场的水平","authors":"Xiaoran Qin ,&nbsp;Hai Yang ,&nbsp;Wei Liu","doi":"10.1016/j.tbs.2024.100845","DOIUrl":null,"url":null,"abstract":"<div><p>Most ride-sourcing platforms, exemplified by industry leaders like Uber, Lyft, and Didi, provide a range of ride services tailored to the diverse preferences of their passengers. Passengers, driven by their distinct priorities, may opt for high-class (HC) ride services, such as Luxury rides, if they value service quality, while those more cost-conscious may gravitate toward low-class (LC) ride services, including basic solo and shared rides. However, this market fragmentation can manifest as an excess of HC vehicles idly cruising the streets, while an insufficient number of LC vehicles struggle to meet passenger demand for LC services. To mitigate this issue, upgrading strategy is proposed where some LC vehicle requests are elevated to HC ride services without incurring additional charges. This study embarks on an initial exploration of the impacts of upgrading within the ride-sourcing system. We develop a mathematical model to depict the equilibrium conditions and analyze the collective influence of operational strategies, encompassing upgrading, spatial pricing, and vehicle repositioning, on system performances. Our research identifies scenarios in which the platform should employ these strategies to balance supply and demand and curb superfluous idle vehicle movements, supported by both theoretical and numerical analyses. The results offer operational insights that guide platform decisions, allowing them to adapt their strategies effectively in response to various supply–demand dynamics.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100845"},"PeriodicalIF":5.1000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Upgrading in ride-sourcing markets with multi-class services\",\"authors\":\"Xiaoran Qin ,&nbsp;Hai Yang ,&nbsp;Wei Liu\",\"doi\":\"10.1016/j.tbs.2024.100845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Most ride-sourcing platforms, exemplified by industry leaders like Uber, Lyft, and Didi, provide a range of ride services tailored to the diverse preferences of their passengers. Passengers, driven by their distinct priorities, may opt for high-class (HC) ride services, such as Luxury rides, if they value service quality, while those more cost-conscious may gravitate toward low-class (LC) ride services, including basic solo and shared rides. However, this market fragmentation can manifest as an excess of HC vehicles idly cruising the streets, while an insufficient number of LC vehicles struggle to meet passenger demand for LC services. To mitigate this issue, upgrading strategy is proposed where some LC vehicle requests are elevated to HC ride services without incurring additional charges. This study embarks on an initial exploration of the impacts of upgrading within the ride-sourcing system. We develop a mathematical model to depict the equilibrium conditions and analyze the collective influence of operational strategies, encompassing upgrading, spatial pricing, and vehicle repositioning, on system performances. Our research identifies scenarios in which the platform should employ these strategies to balance supply and demand and curb superfluous idle vehicle movements, supported by both theoretical and numerical analyses. The results offer operational insights that guide platform decisions, allowing them to adapt their strategies effectively in response to various supply–demand dynamics.</p></div>\",\"PeriodicalId\":51534,\"journal\":{\"name\":\"Travel Behaviour and Society\",\"volume\":\"37 \",\"pages\":\"Article 100845\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Travel Behaviour and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214367X2400108X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X2400108X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

摘要

以 Uber、Lyft 和滴滴等行业领导者为例,大多数乘车外包平台都根据乘客的不同偏好提供一系列乘车服务。乘客在不同优先级的驱动下,如果看重服务质量,可能会选择高级(HC)乘车服务,如豪华乘车,而那些更注重成本的乘客可能会倾向于低级(LC)乘车服务,包括基本的单人和共享乘车。然而,这种市场分割可能表现为过多的豪华车在街上闲逛,而低等车数量不足,难以满足乘客对低等车服务的需求。为缓解这一问题,本研究提出了升级策略,将部分低碳车辆请求升级为高碳车辆搭乘服务,而无需支付额外费用。本研究开始初步探讨升级对乘车外包系统的影响。我们建立了一个数学模型来描述平衡条件,并分析了运营策略(包括升级、空间定价和车辆重新定位)对系统性能的集体影响。在理论和数值分析的支持下,我们的研究确定了平台应在哪些情况下采用这些策略来平衡供需,并遏制多余的闲置车辆移动。研究结果提供了指导平台决策的操作见解,使平台能够有效地调整策略,应对各种供需动态。
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
Upgrading in ride-sourcing markets with multi-class services

Most ride-sourcing platforms, exemplified by industry leaders like Uber, Lyft, and Didi, provide a range of ride services tailored to the diverse preferences of their passengers. Passengers, driven by their distinct priorities, may opt for high-class (HC) ride services, such as Luxury rides, if they value service quality, while those more cost-conscious may gravitate toward low-class (LC) ride services, including basic solo and shared rides. However, this market fragmentation can manifest as an excess of HC vehicles idly cruising the streets, while an insufficient number of LC vehicles struggle to meet passenger demand for LC services. To mitigate this issue, upgrading strategy is proposed where some LC vehicle requests are elevated to HC ride services without incurring additional charges. This study embarks on an initial exploration of the impacts of upgrading within the ride-sourcing system. We develop a mathematical model to depict the equilibrium conditions and analyze the collective influence of operational strategies, encompassing upgrading, spatial pricing, and vehicle repositioning, on system performances. Our research identifies scenarios in which the platform should employ these strategies to balance supply and demand and curb superfluous idle vehicle movements, supported by both theoretical and numerical analyses. The results offer operational insights that guide platform decisions, allowing them to adapt their strategies effectively in response to various supply–demand dynamics.

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
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
期刊最新文献
Investigating the changes in residential location and commute patterns during the pandemic using smart card data Analysing driver behaviour and crash frequency at railway level crossings using connected vehicle and GIS data Sustainable urban mobility transitions through working from home (WFH) An injury severity-based methodology for assessing priority areas for shared micromobility accident risk mitigation Improving conventional transit services with modular autonomous vehicles: A bi-level programming approach
×
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