Contents

The Effects of transportation network companies on traffic congestion

CHOI, Eun Hye Grace

DC Field Value Language
dc.contributor.advisorWang, Shun-
dc.contributor.authorCHOI, Eun Hye Grace-
dc.date.accessioned2019-05-19T03:00:22Z-
dc.date.available2019-05-19T03:00:22Z-
dc.date.issued2017-
dc.identifier.urihttps://archives.kdischool.ac.kr/handle/11125/32103-
dc.descriptionThesis(Master) --KDI School:Master of Public Policy,2017-
dc.description.abstractThis study examines the relationship between the entry of Transportation Network Companies (TNCs) and traffic congestion within urban areas of the United States. For this analysis, I use the Texas A&M Transportation Institute Urban Mobility Report (UMR) and data on TNCs (namely, Lyft and Uber) collected from the local news of target cities to identify the entry of TNCs in each of the 101 urban areas. Specifically, this paper analyzes the effect of the entry of TNCs on traffic congestion using the fixed effects approach and instrumental variable strategy to account for possible endogeneity problems. The findings indicate that the entry of TNCs has a negative impact on mitigating traffic congestion. These findings are inconsistent with previous studies.-
dc.description.tableOfContentsChapter 1: Introduction and Background Chapter 2: Data and Methodology Chapter 3: Empirical Results Chapter 4: Conclusion-
dc.format.extent30 p-
dc.publisherKDI School-
dc.subject.LCSHTransportation.-
dc.subject.LCSHTraffic congestion.-
dc.titleThe Effects of transportation network companies on traffic congestion-
dc.typeThesis-
dc.contributor.departmentKDI School, Master of Public Policy-
dc.contributor.affiliatedAuthor6562-
dc.date.awarded2017-
dc.description.degreemaster-
dc.description.eprintVersionpublished-
dc.type.DSpacethesis-
dc.publisher.locationSejong-
dc.description.statementOfResponsibilityEun Hye Grace CHOI.-
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