EconPapers    
Economics at your fingertips  
 

Analysis of bathtub congestion with continuous scheduling preference

Chuanyao Li and Hai-Jun Huang ()

Research in Transportation Economics, 2019, vol. 75, issue C, 45-54

Abstract: The bathtub model provides a vital analysis tool to capture the features of traffic jam, especially that of hypercongested traffic. For reducing the complication of analysis, previous studies adopted the constant α-β-γ preferences for travel time, arrival early and late penalties. This treatment not only destroys the continuity of user equilibrium (UE) departure rate, but also leaves out of considering the influences of continuity of schedule preference. In this paper, we investigate a specific bathtub model with continuous schedule preference (CSP) and explore the UE and social optimum (SO) solutions. Analytical and numerical results show that the introduction of CSP lets departure rate continuous. In the UE state, it results in traffic congestion being more costly and duration of hypercongestion being longer than existing bathtub models. In the SO state, the system cost becomes lower. Our study extends the knowledge about bathtub models and provides more insight into downtown traffic congestion.

Keywords: Bathtub model; Hypercongestion; User equilibrium; Social optimum; Continuous schedule preference (search for similar items in EconPapers)
JEL-codes: R41 R48 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0739885918302543
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:retrec:v:75:y:2019:i:c:p:45-54

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_2&version=01

DOI: 10.1016/j.retrec.2019.05.002

Access Statistics for this article

Research in Transportation Economics is currently edited by M. Dresner

More articles in Research in Transportation Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:retrec:v:75:y:2019:i:c:p:45-54