Research on Market Regulation of Online Car-hailing Travel Based on Tripartite Game

Xuan-ting Lee, Chenguang Zhao
{"title":"Research on Market Regulation of Online Car-hailing Travel Based on Tripartite Game","authors":"Xuan-ting Lee, Chenguang Zhao","doi":"10.2991/MASTA-19.2019.14","DOIUrl":null,"url":null,"abstract":"With the rapid development of the Internet, a new business model emerged as the times require, that is, online car appointment. The Internet platform acts as a transaction intermediary to match passengers and drivers reasonably, which saves time cost and achieves decision-making autonomy to a great extent. The purpose of this study is to solve the inevitable travel problems in the online car market and actively regulate the online car market. The research method of this paper is to construct a three-party evolutionary game, and build an evolutionary model by the government, the platform of online car contracting and the driver, and analyze its stability. The conclusion shows that the best strategy is that the government evolves from loose regulation to strict regulation. The platform of online car contracting gradually changes from passive regulation to active regulation, and the drivers of online car contracting operate legally and regularly. The government, the online car-booking platform and the driver are the interaction of various factors, and put forward relevant countermeasures and suggestions.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/MASTA-19.2019.14","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

With the rapid development of the Internet, a new business model emerged as the times require, that is, online car appointment. The Internet platform acts as a transaction intermediary to match passengers and drivers reasonably, which saves time cost and achieves decision-making autonomy to a great extent. The purpose of this study is to solve the inevitable travel problems in the online car market and actively regulate the online car market. The research method of this paper is to construct a three-party evolutionary game, and build an evolutionary model by the government, the platform of online car contracting and the driver, and analyze its stability. The conclusion shows that the best strategy is that the government evolves from loose regulation to strict regulation. The platform of online car contracting gradually changes from passive regulation to active regulation, and the drivers of online car contracting operate legally and regularly. The government, the online car-booking platform and the driver are the interaction of various factors, and put forward relevant countermeasures and suggestions.
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
基于三方博弈的网约车出行市场调控研究
随着互联网的快速发展,一种新的商业模式应运而生,那就是网上约车。互联网平台作为交易中介,合理匹配乘客和司机,节省了时间成本,在很大程度上实现了决策自主权。本研究的目的在于解决网约车市场不可避免的出行问题,积极规范网约车市场。本文的研究方法是构建三方演化博弈,构建由政府、网约车平台和司机三方参与的演化模型,并对其稳定性进行分析。结论表明,政府从宽松监管向严格监管演进是最佳策略。网约车平台逐步由被动监管向主动监管转变,网约车司机合法、规范地经营。政府、网约车平台和司机是各种因素的互动,并提出相关对策和建议。
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
LADRC-KALM Control Method Research for Three-motor Synchronous System Simulation Research and Application of Complex Fracture Network for SRV Study on the Measuring Harmonics Based on Capacitor Voltage Transformer Evaluation of Operating Efficiency of Agricultural Listed Enterprises Based on DEA-Tobit Two Stage Model The Promotion Effect of LOESS Smoothing Technique in Short-term Traffic Volume Clustering
×
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