Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China

Li, Y; Shao, M; Sun, L; Wang, X; Song, S

Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China

Li, Y Shao, M Sun, L

Wang, X Song, S

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: SUSTAINABILITY, 2023, 15, (5)
Issue Date:: 2023-03

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Field	Value	Language
dc.contributor.author	Li, Y
dc.contributor.author	Shao, M
dc.contributor.author	Sun, L https://orcid.org/0000-0002-9830-1527
dc.contributor.author	Wang, X
dc.contributor.author	Song, S
dc.date.accessioned	2024-03-28T04:27:17Z
dc.date.available	2024-03-28T04:27:17Z
dc.date.issued	2023-03
dc.identifier.citation	SUSTAINABILITY, 2023, 15, (5)
dc.identifier.issn	2071-1050
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/177345
dc.description.abstract	<jats:p>The research on price elasticity of demand, especially in the field of transportation, has high theoretical and application value. Based on the perspective of price elasticity of demand, the study presents the impact of adjusting expressway rates on the traffic flow of cars with seven seats or less. The data are from the measured data of the Shanghai expressway Electronic Toll Collection (ETC) from 2019 to 2020. In order to eliminate the impact of the surge of ETC users in 2019 on the results, Empirical Mode Decomposition (EMD) is used to optimize the data. The research shows that the price elasticity of demand will increase with the increase in charge amount (distance).</jats:p>
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	SUSTAINABILITY
dc.relation.isbasedon	10.3390/su15054379
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	12 Built Environment and Design
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-28T04:27:15Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	5

Abstract:

The research on price elasticity of demand, especially in the field of transportation, has high theoretical and application value. Based on the perspective of price elasticity of demand, the study presents the impact of adjusting expressway rates on the traffic flow of cars with seven seats or less. The data are from the measured data of the Shanghai expressway Electronic Toll Collection (ETC) from 2019 to 2020. In order to eliminate the impact of the surge of ETC users in 2019 on the results, Empirical Mode Decomposition (EMD) is used to optimize the data. The research shows that the price elasticity of demand will increase with the increase in charge amount (distance).

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http://hdl.handle.net/10453/177345