Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China-Reference-Cited by-同舟云学术

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

Published:2023-03-01 Issue:5 Volume:15 Page:4379
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Li Yunyi¹,Shao Minhua²,Sun Lijun²,Wang Xinmiao³,Song Shizhao³

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China

2. Department of Transportation Engineering, Tongji University, Shanghai 201804, China

3. 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).

Funder

National Key Research and Development Project

Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Link

https://www.mdpi.com/2071-1050/15/5/4379/pdf

Reference15 articles.

1. Modelling the effects of road pricing on traffic in Singapore;Olszewski;Transp. Res. Part A Policy Pract.,2005

2. (2003, March 16). TfL: Transport for London. Available online: http://www.cclondon.com/.

3. The toll-price component of travel demand elasticity;Burris;Int. J. Transport Econ./Riv. Internazionale Di Econ. Dei Trasp.,2003

4. The impacts of time of day pricing on the behavior of freight carriers in a congested urban area: Implications to road pricing. Transport;Wang;Res. Part A Policy Pract.,2006

5. Necessary conditions for off-hour deliveries and the effectiveness of urban freight road pricing and alternative financial policies in competitive markets. Transport;Res. Part A Policy Pract.,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Empirical Modal Decomposition-Improved Whale Optimization Algorithm-Long Short-Term Memory Hybrid Model for Monitoring and Predicting Water Quality Parameters;Sustainability;2023-12-13

2. Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability;Sustainability;2023-09-21

3. The Traffic Flow Prediction of Newly-Constructed Expresseway Based on ETC Database;Academic Journal of Science and Technology;2023-06-05