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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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    <item>
      <title>Enhanced Accounting for Item Cost Variability in AASHTOWare Project Software</title>
      <link>https://trid.trb.org/View/2470767</link>
      <description><![CDATA[This study applies bootstrap analysis to historic transportation project item cost data to develop improved estimates of item cost confidence bounds for use in transportation project cost uncertainty analysis (a component of lifecycle analysis). Bootstrap regression results of confidence bounds will then be integrated into AASHTOWare Project Cost Estimator so that Monte Carlo procedures can estimate project-level confidence intervals for use in lifecycle project cost analysis and transportation capital planning. Data and functions contained within AASHTOWare (a cost estimation software licensed to the Departments of Transportation for over 40 states and the District of Columbia) are employed in the analyses. Coordinating with the Georgia Department of Transportation to obtain a research license for AASHTOWare took longer than expected, resulting in project delays. This report summarizes the work completed to date and describes the remaining steps required to finish the study and for the primary author to publish a final dissertation.]]></description>
      <pubDate>Mon, 23 Dec 2024 10:33:51 GMT</pubDate>
      <guid>https://trid.trb.org/View/2470767</guid>
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    <item>
      <title>Enhanced Accounting for Item Cost Variability in AASHTOWare Project Software Dataset [supporting dataset]</title>
      <link>https://trid.trb.org/View/2470768</link>
      <description><![CDATA[Abstract of the final report is stated below for reference:  This study applies bootstrap analysis to historic transportation project item cost data to develop improved estimates of item cost confidence bounds for use in transportation project cost uncertainty analysis(a component of lifecycle analysis).Bootstrap regression results of confidence bounds will then be integrated into AASHTOWare Project Cost Estimator so that Monte Carlo procedures can estimate project-level confidence intervals for use in lifecycle project cost analysis and transportation capital planning.Data and functions contained within AASHTOWare(a cost estimation software licensed to the Departments of Transportation for over 40 states and the District of Columbia) are employed in the analyses.Coordinating with the Georgia Department of Transportation to obtain a research license for AASHTOWare took longer than expected, resulting in project delays.This report summarizes the work completed to date and describes the remaining steps required to finish the studyand for the primary author to publish a final dissertation.]]></description>
      <pubDate>Mon, 23 Dec 2024 10:33:51 GMT</pubDate>
      <guid>https://trid.trb.org/View/2470768</guid>
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      <title>Enterprise's Logistics Cost Checking Formation Based on Logistics Cycle Time</title>
      <link>https://trid.trb.org/View/2283294</link>
      <description><![CDATA[Related to enterprise logistics and relevant cost, this paper studies the frame of check system and check index system and the establishment of check methods of enterprise logistics cost. Based on supply chain management theory, value chain, and cost management theory, this paper evaluates enterprise's logistics cost based on logistics cycle time, and establishes logistics cycle time. Using gray system theory and modern accounting method, this paper establishes five basic safeguard systems of enterprise's logistics cost check system, illustrates the steps of enterprise's logistics cost check and checking contents.]]></description>
      <pubDate>Fri, 18 Oct 2024 14:12:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2283294</guid>
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    <item>
      <title>Research on Construction of Statistical Accounting System of Tianjin Logistics Industry</title>
      <link>https://trid.trb.org/View/2282178</link>
      <description><![CDATA[Relying on the geographical advantage, Tianjin's logistics industry developed earlier, however because the actions of logistics are distributed in various industries the costs of logistics are calculated in various accounts, the statistical account to cost and income of logistics is very difficult. To weigh the development of Tianjin logistics industry becomes a difficult problem. In this paper, the authors consult other industries' statistical accounting systems, use the companies' reporting statistics data, introduce input-output table, base Tianjin background, design a statistical accounting system which fits to logistics industry. In addition, the authors use the data of Tianjin to do empirically analysis. The authors draw the following conclusions: first, there is a certain correlation between the development of Tianjin logistics industry and the enhancement of economy overall level; second, with the development of logistics industry, the contribution of logistics to national economy will become more prominent.]]></description>
      <pubDate>Tue, 16 Jan 2024 17:11:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/2282178</guid>
    </item>
    <item>
      <title>Management of accounts receivable for railway transport enterprises</title>
      <link>https://trid.trb.org/View/1993629</link>
      <description><![CDATA[The state of accounts receivable, its quality, size and structure have a significant impact on the financial position of the company as a whole, its solvency and fiscal sustainability. Management of accounts receivable is a series of measures aimed, ultimately, at optimizing its size and improving its structure quality. The enterprise tends to reduce terms of accounts receivable and decrease financial cycle size as much as possible but without harming its activity. The analysis of accounts receivable conducted on a regular basis using traditional and non-trivial approaches can judge on the ability of company management to foresee and reduce the risk of non-payback of funds, identify specific, inherent in a particular activity, factors of the debt formation and determine the overall quality of liability management. The article considers the key risks associated with the emergence of accounts receivable, terms of repayment, non-repayment in full or in part, and also discloses the features of accounts receivable management in a transport corporation.]]></description>
      <pubDate>Wed, 17 Aug 2022 09:33:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/1993629</guid>
    </item>
    <item>
      <title>Development and Application of a Cost-Benefit Tool for Quantifying External Social Impacts of Small to Mid-Size Transportation Projects (4.13)</title>
      <link>https://trid.trb.org/View/1994584</link>
      <description><![CDATA[This two-year project will focus on developing methods for quantifying the external social costs of transportation civil infrastructure projects, particularly small to mid-size projects that are common in New England states. Transportation projects have costs and benefits that affect society that are external to the project budget. These external costs and benefits of transportation projects can include effects on the environment, health, equity, and the overall resiliency of the system. Although the overall costs of a project to society (a project’s “social costs”) include both project costs and external costs, the latter are rarely included in project cost assessments, particularly on small to modest size projects. The proposed project therefore aims at filling this gap by developing a relatively easy to understand and implement methodology and an associated user-friendly tool to assist transportation professionals in assessing full social costs and benefits of a project. This will better inform transportation decision making such as for consideration of design alternatives, project prioritization, or adoption of new technologies and engineering innovations. The project will include clear and concise practice-oriented guidance material and training to support the use of the developed tool by transportation practitioners.]]></description>
      <pubDate>Fri, 15 Jul 2022 15:32:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/1994584</guid>
    </item>
    <item>
      <title>The Use of Computerized Railroad Costing Programs in Transportation Management and Analysis</title>
      <link>https://trid.trb.org/View/1981292</link>
      <description><![CDATA[This paper highlights some of the principal uses of rail cost data in transportation management and analysis, and describes a computer costing algorithm which can assist transportation managers, shippers, and policy analysts in the estimation of railroad service costs.]]></description>
      <pubDate>Sat, 02 Jul 2022 16:30:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/1981292</guid>
    </item>
    <item>
      <title>Freedom of choice? Social and spatial disparities on combined housing and transport affordability</title>
      <link>https://trid.trb.org/View/1943874</link>
      <description><![CDATA[Housing and transport affordability (H + TA) analysis has been receiving increasing attention among academics and practitioners worldwide, particularly in Global North settings. These studies usually overlook spatial and socioeconomic distributional considerations that potentially underestimate the simultaneous impact of transport and housing costs on lower-income family budgets. The authors work seeks to address these knowledge gaps by understanding and measuring H + TA, considering different types of households in Santiago, Chile. Combining income, housing, transport, and census data, they estimate H + TA costs using spatial clusters and probability distribution functions, analyzing the “degree of choice” that socially disadvantaged groups have given their financial constraints. The results show that families with children, the elderly, and immigrants are among the most limited in their choices. Most central and eastern sectors of the city which provide the highest density of work opportunities are out of reach for the three lowest-income deciles given the high combined costs of H + TA, being dependents on government benefits and/or social housing. Middle class, from the 4th to 6th income deciles, can choose from between 30% and 65% of all housing and transport combinations, but from less than 6% of those offered on the two clusters with the best transport and urban conditions. These findings bring into question current inter-sectoral policies to alleviate the “cost pressure” of Santiago's lower- and middle-income households.]]></description>
      <pubDate>Mon, 27 Jun 2022 17:19:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/1943874</guid>
    </item>
    <item>
      <title>An Analysis of Title III of the Staggers Rail Act and Related Provisions</title>
      <link>https://trid.trb.org/View/1897275</link>
      <description><![CDATA[This paper presents an analysis of Title III of the Staggers Rail Act entitled Railroad Cost Determination.]]></description>
      <pubDate>Wed, 05 Jan 2022 18:11:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/1897275</guid>
    </item>
    <item>
      <title>Toolkit for the Transportation and Logistics Infrastructure</title>
      <link>https://trid.trb.org/View/1838706</link>
      <description><![CDATA[The article describes logistics technology perspectives, including reduced transport costs, improved quality of services provided to senders and recipients of goods, and accelerated capital turnover. The cost calculation method has been developed for "E", "F", "D" and "C" delivery terms. The export cargo delivery cost to time ratios have been developed based on the Incoterms rules. The article suggests creating a mixed transport and logistics union and presents a macro-level scheme of the innovative infrastructure for this mixed transport and logistics union. The implementation of the strategy of minimizing the total logistics costs is complicated by the weak formalizability of the parameters of the quality of logistics services and the subjective assessment of the quality of service by consumers. The desire to take into account most of the key factors in the logistics strategy obviously leads to the need to apply the methodology of multi-criteria optimization. There are a number of methodologies and models that offer multimodal transport timing, for example, "network models", "additive and multiplicative models", but they all consider time at the level of the domestic market and, most often at the level of one organization, all this is micrologistics. The authors are interested in an innovative method for calculating the time that can be applied for export shipments in combination with the terms of Incoterms specified in contracts.]]></description>
      <pubDate>Mon, 03 May 2021 09:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/1838706</guid>
    </item>
    <item>
      <title>Update on the Methodology for Amtrak Cost Accounting Amtrak Performance Tracking (APT): Annual Update for Appendices A and B, Fiscal Year 2020</title>
      <link>https://trid.trb.org/View/1844067</link>
      <description><![CDATA[This document updates Appendices A and B from the Update on the Methodology for Amtrak Cost Accounting Amtrak Performance Tracking (APT). The 2016 report described Amtrak’s implemented APT cost allocation methodology and the report appendices displayed fiscal year (FY) 2014 summary data from Amtrak’s accounting system. Updates using FY 17, FY 18, and FY 19 data were published in subsequent years. This document reports FY 2020 summary data. All data within were captured in November 2020 and consist of unaudited figures from APT allocated data available at that time and do not reflect any subsequent adjustments or corrections. The figures are intended only to provide a general snapshot of the relative size of Amtrak’s business and may not directly align with other published Amtrak reports, based on differences in reporting methodologies. The data described in the summary paragraphs and within the appendices should be viewed holistically and do not necessarily account for changes within the Cost Center (CC), Family, or Subfamily structures over time.]]></description>
      <pubDate>Sat, 03 Apr 2021 17:40:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/1844067</guid>
    </item>
    <item>
      <title>Update on the Methodology for Amtrak Cost Accounting Amtrak Performance Tracking (APT): Annual Update for Appendices A and B, Fiscal Year 2019</title>
      <link>https://trid.trb.org/View/1844068</link>
      <description><![CDATA[This document updates Appendices A and B from the Update on the Methodology for Amtrak Cost Accounting Amtrak Performance Tracking (APT). The 2016 report described Amtrak’s implemented APT cost allocation methodology and the report appendices displayed fiscal year (FY) 2014 summary data from Amtrak’s accounting system. Updates using FY 17 and FY 18 data were published in subsequent years. This document reports FY 2019 summary data. All data within were captured in December 2019 and consist of unaudited figures from APT allocated data available at that time and do not reflect any subsequent adjustments or corrections. The figures are intended only to provide a general snapshot of the relative size of Amtrak’s business and may not directly align with other published Amtrak reports, based on differences in reporting methodologies. The data described in the summary paragraphs and within the appendices should be viewed holistically and do not necessarily account for changes within the Cost Center (CC), Family, or Subfamily structures over time.]]></description>
      <pubDate>Sat, 03 Apr 2021 17:40:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/1844068</guid>
    </item>
    <item>
      <title>Guide to Calculating Ownership and Operating Costs of Department of Transportation Vehicles and Equipment: An Accounting Perspective</title>
      <link>https://trid.trb.org/View/1688010</link>
      <description><![CDATA[Effective management of a state transportation agency depends on having a good understanding of the costs of owning and operating fleet and equipment and being able to forecast these various costs. This report presents a framework and methodology for cost calculation designed to assist users to adapt and apply the framework and methodology in their agencies. The cost accounting approach described in this guide is known as the ABC (activity-based costing) method, in which costs are organized around four primary fleet activities: providing vehicles to users; providing maintenance and repair services to equipment; providing parts for equipment; and providing fuel for equipment. The guide is supplemented by examples and conceptual diagrams to illustrate the practical application of the framework.]]></description>
      <pubDate>Wed, 08 Apr 2020 10:44:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/1688010</guid>
    </item>
    <item>
      <title>The Calculation of the Fuel Cost for a Car</title>
      <link>https://trid.trb.org/View/1687867</link>
      <description><![CDATA[The proposed formula derived considering the physical phenomena which occur during truck operation makes it possible to calculate fuel cost during the operation more accurately. The results of comparison of calculations by the proposed formula with test results tractors parties “TransEuroTest” are presented. The results of the calculation with the help of new formula differ from the experimentally obtained values of the fuel consumption of vehicles for not more than 1%. The average fuel consumption of tractors at an average speed is shown. The proposed formula for calculating the cost makes it easy to compare the fuel consumption of different vehicle options. The formula can also be used when evaluating the effect of vehicle weight on fuel consumption, which is impossible according to the well-known formulas.]]></description>
      <pubDate>Tue, 31 Mar 2020 16:48:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/1687867</guid>
    </item>
    <item>
      <title>Electric vehicles in India: financial and environmental perspectives</title>
      <link>https://trid.trb.org/View/1590840</link>
      <description><![CDATA[Worldwide, reducing vehicular emission is a cumbersome task to save our planet from climate change. The introduction of electric vehicles could be one of the approaches to reduce the emissions. In this paper, various factors of total cost of ownership of conventional and electric cars from both financial and environmental perspectives are studied. To equalise the cost drivers of vehicles with diverse lives, equivalent annual annuity (EAA) procedure was used to show that the total cost of ownership of an electric car is more economical than that of the fossil-fuelled ones. Additionally, electric car was found to be more environmentally benign than the conventional cars, even if EV is energised with electricity generated from coal-based thermal power plants. Therefore, this research would encourage promoting EVs for fast adoption for the societal benefits and helping government to frame its e-mobility-related policies.]]></description>
      <pubDate>Thu, 18 Apr 2019 11:06:57 GMT</pubDate>
      <guid>https://trid.trb.org/View/1590840</guid>
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