Work

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

Year: 2023

Type: article

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).

Source: Sustainability

DOI: 10.3390/su15054379

Authors: Yunyi Li, Minhua Shao, Lijun Sun, Xinmiao Wang, Shizhao Song

Institutions: Tongji University, Hebei Provincial Department of Transportation

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,447