Federal Highway Revenue Estimation: Cost Allocation Perspective

Author:

Gittings Gary L.1,Narayan Badri R.1

Affiliation:

1. Pennsylvania Transportation Institute, Pennsylvania State University, University Park, Pa. 16802.

Abstract

As part of a report on key cost allocation factors prepared for FHWA, a federal highway revenue estimation methodology is presented. Cost allocation studies seek to compare cost-revenue ratios for different vehicle classes from the standpoint of equity (and efficiency). Such an analysis is meaningful only when the estimates of the payments made by each vehicle class and estimates of their cost responsibilities are reasonably accurate. However, on the revenue side, accurate estimates are difficult to generate since Federal Highway Trust Fund revenues are not directly collected from the consumers. The revenue estimation methodology used in the federal highway cost allocation study (1982) and the developments since then are outlined. The question of what improvements in revenue estimation are needed from a cost allocator's perspective is then addressed. Suggestions include identification of optimal levels of disaggregation of vehicle classes, creation of more accurate information systems, and stochastic forecasting models. There is a need to analyze the effect of inaccuracies in the basic data on the cost-revenue ratios for the vehicle classes. Also recommended is the use of risk analysis methods in forecasting, to help decision makers by providing information on the uncertainties involved. Changing transportation patterns, including the growth of intermodal transport, the diversion of highway revenues to the general budget, and the link between user taxes and investment expenditures, are some of the other issues that should be addressed in the future.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference14 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3