A Pareto-improving hybrid policy for transportation networks

被引：12

作者：

Song, Ziqi ^{[1
]}

Yin, Yafeng ^{[1
]}

Lawphongpanich, Siriphong ^{[2
]}

Yang, Hai ^{[3
]}

机构：

[1] Univ Florida, Dept Civil & Coastal Engn, Gainesville, FL 32611 USA

[2] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA

[3] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China

来源：

JOURNAL OF ADVANCED TRANSPORTATION | 2014年 / 48卷 / 03期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

hybrid policy; Pareto improvement; congestion pricing; rationing; CONGESTION; ASSIGNMENT; IMPACT;

D O I：

10.1002/atr.1233

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper investigates an innovative Pareto-improving hybrid policy that combines two policy instruments, that is, congestion pricing and road space rationing, and takes advantage of the synergistic effects between these instruments. Mathematical formulations for developing Pareto-improving pure road space rationing schemes and hybrid policies are presented. Numerical examples demonstrate that the proposed hybrid policy offers greater flexibility and is more prominent in leading to Pareto improvement than both pure congestion pricing and road space rationing schemes. Copyright (c) 2013 John Wiley & Sons, Ltd.

引用

页码：272 / 286

页数：15

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