Private vs. Pooled Transportation: Customer Preference and Design of Green Transport Policy

Kashish Arora, Fanyin Zheng, Karan Girotra
{"title":"Private vs. Pooled Transportation: Customer Preference and Design of Green Transport Policy","authors":"Kashish Arora, Fanyin Zheng, Karan Girotra","doi":"10.1287/msom.2022.0569","DOIUrl":null,"url":null,"abstract":"Problem definition: Large cities around the globe are facing an alarming growth in traffic congestion and greenhouse gas emissions, to which a significant contributor in recent years are on-demand cabs operated by ride-hailing platforms. Newly emerged pooled transportation options like shuttle services are cheaper and greener alternatives. However, those alternatives are still new to many customers and policy makers. The design of their promotion policies demands careful investigation. This paper studies how we can reduce the number of on-demand cabs on the road and, therefore, their GHG emissions by promoting pooled transportation such as shuttle services. Methodology/Results: In this work, we use detailed usage data and build a structural model to study customer preferences of price and service features when choosing between private cabs and a scheduled shuttle service. Using the estimated model, we identify and evaluate the efficacy of improving service features like reducing the walking distance to shuttle stops on customers’ choices of transport and, therefore, the number of ride-hailing vehicles on the road. We find that a 20% decrease in walking distance can achieve 40% of the benefits of commonly adopted congestion surcharge policies. It can also reduce up to 4.8 thousand tonnes of GHG emissions, which is worth over a million dollars per year. In addition, we demonstrate the implementability of walking distance reduction policies by adding stops on existing shuttle routes. Managerial implications: Reducing the number of ride-hailing vehicles on the road has become an important goal in many cities’ green transport policy design. For example, cities like New York have implemented congestion surcharge policies targeting ride-hailing vehicles in recent years. Our findings suggest that, by changing operations levers such as service features of pooled transport, cities can achieve a substantial amount of benefits from reducing congestion compared with congestion surcharge policies with essentially zero cost, leading to much more efficient green transport policies.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0569 .","PeriodicalId":501267,"journal":{"name":"Manufacturing & Service Operations Management","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manufacturing & Service Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/msom.2022.0569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Problem definition: Large cities around the globe are facing an alarming growth in traffic congestion and greenhouse gas emissions, to which a significant contributor in recent years are on-demand cabs operated by ride-hailing platforms. Newly emerged pooled transportation options like shuttle services are cheaper and greener alternatives. However, those alternatives are still new to many customers and policy makers. The design of their promotion policies demands careful investigation. This paper studies how we can reduce the number of on-demand cabs on the road and, therefore, their GHG emissions by promoting pooled transportation such as shuttle services. Methodology/Results: In this work, we use detailed usage data and build a structural model to study customer preferences of price and service features when choosing between private cabs and a scheduled shuttle service. Using the estimated model, we identify and evaluate the efficacy of improving service features like reducing the walking distance to shuttle stops on customers’ choices of transport and, therefore, the number of ride-hailing vehicles on the road. We find that a 20% decrease in walking distance can achieve 40% of the benefits of commonly adopted congestion surcharge policies. It can also reduce up to 4.8 thousand tonnes of GHG emissions, which is worth over a million dollars per year. In addition, we demonstrate the implementability of walking distance reduction policies by adding stops on existing shuttle routes. Managerial implications: Reducing the number of ride-hailing vehicles on the road has become an important goal in many cities’ green transport policy design. For example, cities like New York have implemented congestion surcharge policies targeting ride-hailing vehicles in recent years. Our findings suggest that, by changing operations levers such as service features of pooled transport, cities can achieve a substantial amount of benefits from reducing congestion compared with congestion surcharge policies with essentially zero cost, leading to much more efficient green transport policies.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0569 .
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
私人交通与联合交通:客户偏好与绿色交通政策的设计
问题定义:全球各大城市正面临着交通拥堵和温室气体排放惊人增长的问题,而近年来,按需叫车平台运营的出租车是造成交通拥堵和温室气体排放的重要原因。班车服务等新出现的集合式交通方式是更便宜、更环保的替代方案。然而,对于许多客户和政策制定者来说,这些替代方案仍是新鲜事物。它们的推广政策设计需要仔细研究。本文研究了如何通过推广班车服务等集合式交通方式,减少道路上的按需出租车数量,从而减少其温室气体排放量。方法/结果:在这项工作中,我们使用了详细的使用数据,并建立了一个结构模型来研究客户在选择私人出租车和定期班车服务时对价格和服务特点的偏好。利用估算出的模型,我们确定并评估了改进服务功能的效果,如缩短到班车站点的步行距离,对顾客选择交通工具的影响,以及因此对道路上出租车辆数量的影响。我们发现,将步行距离缩短 20%,可以实现通常采用的拥堵附加费政策 40% 的收益。它还能减少多达 4.8 千吨的温室气体排放,每年价值超过一百万美元。此外,我们还展示了通过在现有班车线路上增设站点来减少步行距离政策的可实施性。对管理的影响:减少道路上的乘用车数量已成为许多城市绿色交通政策设计的重要目标。例如,纽约等城市近年来实施了针对叫车车辆的拥堵附加费政策。我们的研究结果表明,与拥堵附加费政策相比,通过改变运营杠杆(如集合交通的服务功能),城市可以以基本为零的成本从减少拥堵中获得大量收益,从而制定出效率更高的绿色交通政策:在线附录见 https://doi.org/10.1287/msom.2022.0569 。
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
自引率
0.00%
发文量
0
期刊最新文献
Competition in Optimal Stopping: Behavioral Insights Information Dependency in Mitigating Disruption Cascades Adaptive Two-Stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem Demand Equilibria in Spatial Service Systems Optimal Salesforce Compensation with General Demand and Operational Considerations
×
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