A network-based model for estimating the market share of a new high-speed rail system

Iljoon Chang and Gang-len Chang *

Transportation Planning and Technology, 2004, vol. 27, issue 2, 67-90

Abstract: This paper presents a novel application of static traffic assignment methods, but with a variable time value, for estimating the market share of high-speed rail (HSR) in the northwest--southeast (NW--SE) corridor of Korea currently served by air, conventional rail and highway modes. The proposed model employs a time--space network structure to capture the interrelations among competing transportation modes, and to reflect their supply- and demand-side constraints as well as interactions through properly formulated link-node structures. The embedded cost function for each network link offers the flexibility for incorporating all associated factors, such as travel time and fare, in the model computation, and enables the use of a distribution rather than a constant to represent the time--value variation among all transportation mode users. To capture the value-of-time (VOT) of tripmakers along the target corridor realistically, this study has developed a calibration method with aggregate demand information and key system performance data from the NW--SE corridor.

Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/0308106042000218186 (text/html)
Access to full text is restricted to subscribers.

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:taf:transp:v:27:y:2004:i:2:p:67-90

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/0308106042000218186

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().