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P2P交通平台对城市消费模式影响的准实验估计

A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns
课程网址: http://videolectures.net/kdd2017_zhang_consumer_patterns/  
主讲教师: Zhe Zhang
开课单位: 卡内基梅隆大学
开课时间: 2017-10-09
课程语种: 英语
中文简介:
随着移动技术和基于位置的计算的普及,新型智能城市交通(例如Uber和Lyft)、点对点新型城市基础设施可以影响个人的移动摩擦和模式,进而影响当地的消费模式以及当地企业的经济表现。为了深入了解城市交通变化的未来影响,在本文中,我们利用新颖且详细的数据集,并使用计量经济学和休闲分析方法来研究此类点对点汽车共享服务如何影响消费者的流动性和消费模式。
课程简介: With the pervasiveness of mobile technology and location-based computing, new forms of smart urban transportation, such as Uber & Lyft, peer-to-peer new forms of urban infrastructure can influence individuals’ movement frictions and patterns, in turn influencing local consumption patterns and the economic performance of local businesses. To gain insights about future impact of urban transportation changes, in this paper, we take advantage of a novel and individually-detailed dataset and use econometric and casual analysis methodsto examine how such peer-to-peer car sharing services may affect consumer mobility and consumption patterns.
关 键 词: 汽车共享服务; 智能城市交通; 数据挖掘
课程来源: 视频讲座网
数据采集: 2023-12-25:wujk
最后编审: 2023-12-25:wujk
阅读次数: 8