The geography of ridesharing: A case study on New York City

IF 4.5 3区 经济学 Q1 ECONOMICS
Chungsang Tom Lam , Meng Liu , Xiang Hui
{"title":"The geography of ridesharing: A case study on New York City","authors":"Chungsang Tom Lam ,&nbsp;Meng Liu ,&nbsp;Xiang Hui","doi":"10.1016/j.infoecopol.2021.100941","DOIUrl":null,"url":null,"abstract":"<div><p><span>Despite the popularity of ridesharing, there is limited empirical evidence on how ridesharing activities differ across regions with different levels of accessibility and the implication for consumers. In this paper, we study the market for rides across New York City neighborhoods. We construct a novel data set that contains massive API queries on route-specific estimates of pricing, wait time, and travel time of Uber, Lyft, and the public transit. After linking this data with actual trip records of taxis, Uber, and Lyft, we document a strong pattern that ridesharing has a larger market share relative to taxis in neighborhoods with lower accessibility, defined either in terms of geographic distance to Midtown Manhattan or “economic distance” to job opportunities. Next, we estimate a discrete-choice model of demand for rides and interpret the geography of ridesharing through the lens of the model. We find that </span>consumer surplus from ridesharing varies drastically across geography: passengers that are 5 to 15 miles (resp. more than 15 miles) from Midtown experience a 60% (resp. 19%) larger consumer surplus relative to passengers that are within 5 miles from Midtown. Over half of these gains comes from reduced wait time.</p></div>","PeriodicalId":47029,"journal":{"name":"Information Economics and Policy","volume":"57 ","pages":"Article 100941"},"PeriodicalIF":4.5000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Economics and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167624521000299","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 6

Abstract

Despite the popularity of ridesharing, there is limited empirical evidence on how ridesharing activities differ across regions with different levels of accessibility and the implication for consumers. In this paper, we study the market for rides across New York City neighborhoods. We construct a novel data set that contains massive API queries on route-specific estimates of pricing, wait time, and travel time of Uber, Lyft, and the public transit. After linking this data with actual trip records of taxis, Uber, and Lyft, we document a strong pattern that ridesharing has a larger market share relative to taxis in neighborhoods with lower accessibility, defined either in terms of geographic distance to Midtown Manhattan or “economic distance” to job opportunities. Next, we estimate a discrete-choice model of demand for rides and interpret the geography of ridesharing through the lens of the model. We find that consumer surplus from ridesharing varies drastically across geography: passengers that are 5 to 15 miles (resp. more than 15 miles) from Midtown experience a 60% (resp. 19%) larger consumer surplus relative to passengers that are within 5 miles from Midtown. Over half of these gains comes from reduced wait time.

拼车的地理特征——以纽约市为例
尽管拼车很受欢迎,但关于可达性水平不同的地区之间拼车活动的差异及其对消费者的影响的实证证据有限。在本文中,我们研究了纽约市社区的乘车市场。我们构建了一个新的数据集,其中包含大量的API查询,这些查询是关于优步、Lyft和公共交通的定价、等待时间和旅行时间的特定路线估计的。在将这些数据与出租车、优步和Lyft的实际出行记录联系起来之后,我们发现了一个强大的模式,即在可达性较差的社区,拼车相对于出租车拥有更大的市场份额,可达性是根据到曼哈顿中城的地理距离或到工作机会的“经济距离”来定义的。接下来,我们估计了一个出行需求的离散选择模型,并通过该模型的镜头解释了拼车的地理位置。我们发现,拼车带来的消费者剩余在不同地区差异很大:5至15英里的乘客(平均每人)的出行距离为10英里。距离中城超过15英里(约16公里)的游客,可享受60%的旅游体验。19%)相对于离市中心5英里以内的乘客,消费者剩余要大一些。其中一半以上的收益来自于减少的等待时间。
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 求助全文
来源期刊
CiteScore
5.00
自引率
10.70%
发文量
27
期刊介绍: IEP is an international journal that aims to publish peer-reviewed policy-oriented research about the production, distribution and use of information, including these subjects: the economics of the telecommunications, mass media, and other information industries, the economics of innovation and intellectual property, the role of information in economic development, and the role of information and information technology in the functioning of markets. The purpose of the journal is to provide an interdisciplinary and international forum for theoretical and empirical research that addresses the needs of other researchers, government, and professionals who are involved in the policy-making process. IEP publishes research papers, short contributions, and surveys.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信