Abstract
This study develops a decision-making framework for prioritizing potential alternative truck management strategies. The motivation of this study is derived from the need to evaluate likely impacts resulting from the implementation of these strategies. Two main objectives are accomplished in this study. The first part of the study develops a decision making framework which is capable of prioritizing potential alternatives truck management strategies using the Analytical Hierarchy Process. This enables the judgments and preferences of decision-makers to be quantified based on the relative importance of their individual criteria, and to allow quantitative interpretation from others. The second part of the study provides a specific example of how to prioritize potential alternative truck strategies using a case study. A PARAMICS simulation model is used as the main analytical tool to analyze quantitative impacts of these strategies. The framework includes various measures that can and cannot be directly transformed into monetary costs in order to reflect the standpoints of both the public and the private sectors. Another important contribution of the study is to develop a 100-score conversion formula as a normalization technique. Since quantitative measurements have different scales, the authors need to incorporate these measurements into a single value. This method allows decision-makers to easily facilitate comparisons among potential alternatives when the final decisions are made.