Major network disruptions have significant impacts on local travelers. A good understanding of behavioral reactions to such incidents is crucial for traffic management and planning. Existing research on such topics is limited. This study investigates travelers' reaction to both the collapse and...

This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment...

Purpose: This study aims to address the gap by empirically exploring how residential construction-production progress, which includes project commencement, under-construction and project completion, responds dynamically to fluctuations in house prices. Design/methodology/approach: A vector...

Public-Private Partnerships have been adopted worldwide to deliver infrastructure assets. However, the governments normally dominate PPP execution. The upshot, in this stance, has undermined the project's cooperation and then been an inability of the public sector to leverage the resources and...

This report summarizes research work conducted under TO4158 at the California ATMS Testbed of the Institute of Transportation Studies at the University of California, Irvine. Under this task order, the California ATMS testbed hosted two full-time PATH research postdocs (Henry Liu and Lianyu Chu)...

This report summarizes research work conducted under TO4304 at the University of California, Irvine. Under this task order, the research team provided Caltrans with on-call direct support, technical guidance, and research related support. A series of Paramics plug-ins were developed and have...

Travel time variability is increasingly being recognized as a major factor influencing travel decisions and, consequently, as an important performance measure in transportation management. In this research project, we examine a number of questions related to travel time variability: How should...