Economic Evaluation of Route Choice Characteristics for Company Truck Drivers and Owner-Operator Truck Drivers in Southern California Freeways

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Economic Evaluation of Route Choice Characteristics for Company Truck Drivers and Owner-Operator Truck Drivers in Southern California Freeways

Abstract: 

To contribute to the understanding of freeway capacity and financing options, this study evaluates the demand for truck-only toll lanes on Southern California freeways. The study implemented surveys to both company truck drivers and owner-operator truck drivers to estimate the value they place on time, reliability, and safety measures. The research team met face-to-face with both types of truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 45 surveys out of 62 survey responses were used for statistical analysis. The results showed that the tolerated toll fees that both types of truck drivers combined were willing to pay ranged from $3.27 an hour to $41.45 an hour with an average of $20.50 an hour during weekdays, while those fees ranged from $3.04 an hour to $36.12 an hour with an average of $18.12 an hour during weekends. Both types of truck drivers are unwilling to pay toll fees for the routes used in six comparisons out of nine, despite sharing a common origin and destination. Data shows that, regardless of ownership type, both types of truck drivers similarly value a route with truck-only lanes. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of travel time (VOT) is $0.54 per mile or $32.38 an hour. The figures for the value of reliability (VOR) and safety measures are $0.47 per mile or $15.76 an hour and $0.17 per mile or $9.80 an hour, respectively. The VOR is important because it helps shippers and freight carriers make predictable travel times to remain competitive. These results are meaningful for legislators and transportation agencies because the behaviors and route choice characteristics of both types of drivers help them better reduce scheduling costs, understand the utility and demand for truck-only toll lanes, and resolve traffic congestion in the study area.

Authors: 

JOSEPH J. KIM, PHD, PE (PI)

Dr. Kim is Professor at the Department of Civil Engineering and Construction Engineering Management at California State University Long Beach. He supervised a graduate student and was responsible for overall project coordination, assuring successful project completion, and preparing the final MTI report. Prior to this research, Dr. Kim played an important role in a research project that evaluated several intelligent transportation system (ITS)-based treatments for the safety of a pedestrian crossing, funded by the Federal Highway Administration. He worked on the overall management of that project, which included the supervision of students collecting data based on either human or video observation, organization of data, statistical analysis using non-parametric tests, and reporting of the results. The outcomes had been featured in several publications and presentations at the meetings of the Transportation Research Record: Journal of the Transportation Research Board and the annual Transportation Research Board. The PI has previous experience as a Geographic Information Systems (GIS) specialist at the Gainesville Police Department in Florida and has a minor in statistics, which is a significant advantage for conducting this research.

JOSE ALEJANDRO ARROYO TURCIOS

Mr. Turcios is a civil engineering graduate student at the Department of Civil Engineering and Construction Engineering Management at California State University Long Beach who contributed to accomplishing the goals of this research project. His interests within the field include transportation engineering and project management. The scope of his contributions includes assistance of the design of the stated-preference survey form, the collection and analysis of field data with the PI, and preparation of the MTI report. 

Published: 
June 2023
Keywords: 
Truck routes
Owner operators
Value of time
Reliability
Safety

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CSUTC
MCEEST
MCTM
NTFC
NTSC

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