Implications of Uncertainty in Transportation Control Measures: A Case Study of the Los Angeles Truck Management Program

by Dorriah L. Page, Univ of California, Davis, United States,

Document Type: Proceeding Paper

Part of: Infrastructure: Planning and Management


The Los Angeles Department of Transportation has proposed a peak period travel restriction aimed at heavy-duty trucks on all Los Angeles streets. The ordinance is designed to reduce the impact of heavy-duty trucks on commute traffic, and decrease the emissions resulting from trucks caught in congested traffic. While at first glance a seemingly straight-forward approach to congestion management and air quality control, this Transportation Control Measure is filled with enormous risk and uncertainty. This study identifies the intent of the TCM, the options it presents to the trucking community and the four key areas of risk and uncertainty: direct costs, congestion and delay, production efficiency and air quality. This study is based on a comprehensive analysis of the proposed impacts of the LA TCM, and due to length constraints, may only present abbreviated analyses. It is the conclusion of this study that the uncertainties associated with each of these factors far outweigh any proposed congestion benefits for the Los Angeles region.

Subject Headings: Trucks | Uncertainty principles | Case studies | Traffic congestion | Transportation studies | Air quality | Quality control | Highway and road management | Los Angeles | California | United States

Services: Buy this book/Buy this article


Return to search