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

Yunyi Li, Minhua Shao (), Lijun Sun, Xinmiao Wang and Shizhao Song
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Yunyi Li: The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
Minhua Shao: Department of Transportation Engineering, Tongji University, Shanghai 201804, China
Lijun Sun: Department of Transportation Engineering, Tongji University, Shanghai 201804, China
Xinmiao Wang: Hebei Province Highway Jingxiong Preparatory Office, Baoding 071000, China
Shizhao Song: Hebei Province Highway Jingxiong Preparatory Office, Baoding 071000, China

Sustainability, 2023, vol. 15, issue 5, 1-11

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).

Keywords: expressway; price elasticity of demand; empirical mode decomposition; electronic toll collection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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