Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling

Thomas F. Golob and A C Regan

University of California Transportation Center, Working Papers from University of California Transportation Center

Abstract: Using data from a 2001 survey of managers of 700 trucking companies operating in California, we tested competing hypotheses about the relationship between managers' perceptions of the impact of traffic congestion on their operations and their companies' adoption of routing and scheduling software. Demand for automated routing and scheduling was found to be influenced directly by the need to re-route drivers, and indirectly by the need, generated by customers' schedules, to operate during congested periods. We were also able to identify which types of trucking companies are most affected by congestion and which types are more likely to adopt such software.

Keywords: Social; and; Behavioral; Sciences (search for similar items in EconPapers)
Date: 2003-01-20
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.escholarship.org/uc/item/74z234n4.pdf;origin=repeccitec (application/pdf)

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:cdl:uctcwp:qt74z234n4

Access Statistics for this paper

More papers in University of California Transportation Center, Working Papers from University of California Transportation Center Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().