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

Author

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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)

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).

Suggested Citation

  • Yunyi Li & Minhua Shao & Lijun Sun & Xinmiao Wang & Shizhao Song, 2023. "Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 15(5), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4379-:d:1084456
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    References listed on IDEAS

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    5. Davis, Lucas W., 2021. "Estimating the price elasticity of demand for subways: Evidence from Mexico," Regional Science and Urban Economics, Elsevier, vol. 87(C).
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    Cited by:

    1. Binglin Li & Hao Xu & Yufeng Lian & Pai Li & Yong Shao & Chunyu Tan, 2023. "An Empirical Modal Decomposition-Improved Whale Optimization Algorithm-Long Short-Term Memory Hybrid Model for Monitoring and Predicting Water Quality Parameters," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    2. Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023. "Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability," Sustainability, MDPI, vol. 15(18), pages 1-27, September.

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