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

被引：2

作者：

Li, Yunyi ^{[1
]}

Shao, Minhua ^{[2
]}

Sun, Lijun ^{[2
]}

Wang, Xinmiao ^{[3
]}

Song, Shizhao ^{[3
]}

机构：

[1] Minist Educ, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China

[2] Tongji Univ, Dept Transportat Engn, Shanghai 201804, Peoples R China

[3] Hebei Prov Highway Jingxiong Preparatory Off, Baoding 071000, Peoples R China

来源：

SUSTAINABILITY | 2023年 / 15卷 / 05期

基金：

中国国家自然科学基金;

关键词：

expressway; price elasticity of demand; empirical mode decomposition; electronic toll collection; TIME;

D O I：

10.3390/su15054379

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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).

引用

页数：11

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