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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>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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    <item>
      <title>Productivity-based assessment of Indian metro systems: A two-stage total factor productivity approach</title>
      <link>https://trid.trb.org/View/2643832</link>
      <description><![CDATA[This study evaluates the productivity of nine metro systems in India that commenced operations before 2019, utilising a two-stage Total Factor Productivity (TFP) framework. The benchmarking framework integrates data from the metro's annual reports for the fiscal years 2015–2016 to 2022–2023. In the first stage, Gross Variable Input Productivity (GVIP) is computed using a multilateral index number method. The inputs are labour and soft input costs, and the outputs are passenger kilometres and other revenue. Based on GVIP, the Hyderabad Metro consistently ranks the most productive, securing the top position in four out of five years. Productivity is influenced by external factors such as network size, gross domestic product (GDP), and socioeconomic conditions; therefore, we computed Net Variable Input Productivity (NVIP) using regression analysis to retrieve the residual. The regression results indicate that track length and GDP have a significant impact on metro productivity. According to NVIP, there were some changes in the position of other metros, but Hyderabad Metro retained its top spot. Sensitivity analysis confirms the robustness of the benchmarking framework. The study's policy recommendations emphasise the importance of expanding network capacity, enhancing multimodal integration, and increasing non-fare revenue streams.]]></description>
      <pubDate>Wed, 22 Apr 2026 16:15:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2643832</guid>
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    <item>
      <title>Impact of Generative AI Models on Labor Utilization and TFP Growth in the U.S. Airline Industry: An Exploratory Analysis</title>
      <link>https://trid.trb.org/View/2639407</link>
      <description><![CDATA[The airline industry may stand at a transformative juncture as generative AI models reshape labor utilization and operational efficiency. While AI technologies promise productivity gains through automation, optimization, and enhanced decision-making, their impacts may vary across airline business models due to differences in operating strategies, staffing structures, and service complexity. This study provides a quantitative assessment of AI’s influence on Total Factor Productivity (TFP) growth in the airline industry by incorporating AI exposure into workforce dynamics. Using data from U.S. airlines between 2000 and 2019, we simulate the impact of AI adoption on labor utilization. Our results suggest that AI could improve labor utilization by 30.2%, contributing to an average industry-wide TFP increase of 0.1%. Ultra-Low-Cost Carriers (ULCCs) are projected to experience the largest gains, averaging 0.3%, driven by their streamlined workforce structures, simplified operations, homogenous passenger bases, and reliance on labor efficiency to sustain low-cost models. Low-Cost Carriers (LCCs) experience modest improvements of 0.1%, reflecting their balance between cost-efficiency practices and operational complexity. Full-Service Airlines (FSAs) show intermediate growth of 0.2%, constrained by their diverse task requirements and complex hub-and-spoke operations. These findings are consistent with the broader literature, which finds that AI’s productivity gains are most pronounced in labor-intensive sectors, while complexity tempers efficiency gains.]]></description>
      <pubDate>Thu, 12 Mar 2026 14:02:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/2639407</guid>
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    <item>
      <title>Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework</title>
      <link>https://trid.trb.org/View/2616180</link>
      <description><![CDATA[Home repair and installation services require technicians to visit customers and resolve tasks of different complexities. Technicians often have heterogeneous skills. The geographical spread of customers makes achieving only “ideal” matches between technician skills and task requirements impractical. Additionally, technicians are regularly absent, for example, due to sickness. With only nonideal assignments regarding task requirement and technician skill, some tasks may remain unresolved and require a revisit and rework at a later day, leading to delayed service. For this sequential decision problem, every day, we iteratively build tours by adding “important” customers. The importance bases on analytical considerations and is measured by respecting urgency of service, routing efficiency, and risk of rework in an integrated fashion. We propose a state-dependent balance of these factors via reinforcement learning. We rely on proximal policy optimization (PPO) tailored to the problem specifics, analyzing the implications of specific algorithmic augmentations. A comprehensive study shows that taking a few nonideal assignments can be quite beneficial for the overall service quality. Furthermore, in states where a higher number of technicians are sick and many customers have overdue service deadlines, prioritizing service urgency is crucial. Conversely, in states with fewer sick technicians and fewer customers with overdue deadlines, routing efficiency should take precedence. We further demonstrate the value provided by a state-dependent parametrization via PPO.]]></description>
      <pubDate>Mon, 02 Feb 2026 09:33:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2616180</guid>
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    <item>
      <title>Spurring monopolies and fettering automation? Determinants of variations of output, employment and productivity in OECD automotive industries following the financial crisis</title>
      <link>https://trid.trb.org/View/2604180</link>
      <description><![CDATA[This paper estimates the effects robotic automation has had on output, employment and labour productivity, in the automotive sectors of 22 OECD countries following the financial crisis. The results of the analysis show that robot-use is a significant factor in explaining labour productivity, employment and output in the analysed period. However, its effects show significant variation between sectors and countries. In explaining this variation, the paper illustrates the importance of the relative strength of 'employment' and 'output' of automation, highlighting differences in trajectory between 'core' and 'periphery' automotive sectors within the OECD. The findings therefore lend credence to accounts which have argued that rather than automation per se, it is structural changes and crisis, in particular of output, which have had the most significant influence on manufacturing employment in the recent decades.]]></description>
      <pubDate>Mon, 22 Dec 2025 16:07:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2604180</guid>
    </item>
    <item>
      <title>The Impact of Digital Economy on the Green Development Efficiency of the Logistics Industry – a Case from China Based on the Mediation Mechanism and Threshold Effect</title>
      <link>https://trid.trb.org/View/2592181</link>
      <description><![CDATA[The logistics industry is full of expectations for ‘quality and efficiency’ due to the rapid development of the digital economy (DE). It is worth paying attention to whether the DE can reverse the rough development of the logistics industry and effectively promote the green development efficiency of the logistics industry (GLE). This paper empirically explores the impact of the DE on the GLE using mediation mechanisms and threshold effects, based on China’s inter-provincial panel data from 2011–2021. The empirical results indicate that the development of DE plays a significant role in promoting the GLE and can enhance the GLE through industrial structure upgrading. However, there is a masking effect of the labour productivity of the logistics industry on the impact of the DE on the GLE. The threshold test reveals that there is a threshold effect based on the scale of the logistics industry and the level of scientific and technological innovation in the impact of the DE on the GLE.]]></description>
      <pubDate>Fri, 14 Nov 2025 14:37:04 GMT</pubDate>
      <guid>https://trid.trb.org/View/2592181</guid>
    </item>
    <item>
      <title>High-speed rail's dynamic impacts on urban industrial structure upgrading and its mechanisms</title>
      <link>https://trid.trb.org/View/2599425</link>
      <description><![CDATA[High-speed rail (HSR) is a costly transportation infrastructure, and its investment can be better justified when it leads to long-term urban economic development. However, there is a lack of empirical investigations that quantify HSR's dynamic economic benefits, particularly considering the lagging effects, as well as the changing effects resulting from the continuous expansion of the HSR network. This study represents one of the initial attempts to quantify the dynamic impacts of HSR on the upgrading of urban industrial structures. It distinguishes the sources of these impacts by considering the lagging effects for individual cities and the staggered expansion of the HSR network. In addition, the industrial structure upgrading is comprehensively evaluated from the servitization of the industrial structure and the improvement of industrial labor productivity. In which, the industrial structure servitization represents the upgrading of industrial structure towards tertiary industry. Using data from 278 Chinese cities over a span of 19 years, the authors developed and employed an improved synthetic control method (SCM) and staggered SCM for their empirical investigations. The results indicate that HSR generally facilitates the upgrading of a city's industrial structure. However, the effects of HSR on industrial structure servitization tend to fade quickly, while the impacts on improving industrial labor productivity are more persistent. Further regional heterogeneity analyses suggest the effects of HSR on industrial servitization is more enduring in core cities, while the labor productivity-improving impacts of HSR remain consistent across different cities.]]></description>
      <pubDate>Fri, 26 Sep 2025 10:23:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2599425</guid>
    </item>
    <item>
      <title>Productivity and wage effects of an exogenous improvement in transport infrastructure: Accessibility and the Great Belt Bridge</title>
      <link>https://trid.trb.org/View/2573218</link>
      <description><![CDATA[In this paper, the authors study the productivity and wage effects of a large and very localized discrete shock in the quality of transport infrastructure, viz. the opening of the Great Belt Bridge connecting the Copenhagen area with the neighboring island Funen and the mainland of Denmark. The authors focus on two effects: (i) an accessibility externality, captured via changes in an accessibility indicator at the municipal level; (ii) better matching of workers to jobs, enabled by to the shorter travel times after the opening of the bridge. The authors can disentangle the accessibility and matching effects, because better matching is only realized via new commutes crossing the Great Belt after the opening of the bridge. The authors' results show that the increased accessibility had significant positive effects on productivity as well as wages, the latter being much more localized. The productivity effects of improved labour market matching are larger than the accessibility effects, but they are restricted to a small share of the firms. The authors find a modest wage effect of better matching, suggesting that employees get a small wage increase on top of the commuting cost savings associated with the opening of the bridge. Overall, the estimates suggest that firms benefited more from the opening of the bridge than did workers. Moreover, the bridge benefited mainly highly educated and male workers, and it increased wage inequality.]]></description>
      <pubDate>Mon, 08 Sep 2025 14:54:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2573218</guid>
    </item>
    <item>
      <title>Tax progressivity and mobility costs</title>
      <link>https://trid.trb.org/View/2572006</link>
      <description><![CDATA[This paper examines how mobility costs influence the effectiveness and desirability of tax progressivity using a general equilibrium spatial model. A key feature of the model is that workers’ idiosyncratic productivity depends on location. The interaction of amenities, idiosyncratic shocks and moving costs implies that progressive taxation distorts location choices by reducing incentives for agents to relocate to their most productive areas. Using a quantitative framework, I find that the negative effect of tax progressivity on output is weakest when mobility costs are either relatively low or high. The optimal degree of tax progressivity balances the costs of spatial tax distortions against the benefits of enhanced insurance, leading to relatively high optimal progressivity at both extremes of mobility costs.]]></description>
      <pubDate>Thu, 28 Aug 2025 17:15:59 GMT</pubDate>
      <guid>https://trid.trb.org/View/2572006</guid>
    </item>
    <item>
      <title>Locomotive Team Productivity as a Criterion for Optimal Locomotive Fleet Management</title>
      <link>https://trid.trb.org/View/2407936</link>
      <description><![CDATA[The problem of the transportation process technological regulation within the framework of extraterritorial models for managing locomotive fleets can include solving the complex problem of finding the optimal parameters for controlling the work of locomotive crews serving the train operation of freight traffic within the specific territory boundaries. The purpose of this study was to substantiate the feasibility of including such basic criteria for solving this problem as the average daily productivity of the locomotive fleet, labor productivity indicators of locomotive crews, as well as to develop an approach to modeling the crews’ working time. It is proposed to consider the maximum labor productivity of the locomotive crews’ workers contingent at the specific territory in freight and passenger traffic and the value of their hourly output as one of the criteria for the train operation management quality. It is possible to control the characteristics of the locomotive crews’ labor productivity through the cycle time of their work. It is shown that the choice of a rational cycle time allows the alignment and synchronization of the production operations’ duration for performing gross ton-kilometer work. In this regard, the opportunities for modeling the value of the locomotive crews’ operating time on the basis of the study of factors that have both a random and constant influence on the takt time appear.]]></description>
      <pubDate>Thu, 21 Aug 2025 09:19:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2407936</guid>
    </item>
    <item>
      <title>System dynamics in railway project appraisal: Assessing student productivity and wider economic benefits in the knowledge economy</title>
      <link>https://trid.trb.org/View/2577233</link>
      <description><![CDATA[Rail projects require substantial long-term investments, making comprehensive project appraisal essential. Traditional cost-benefit analysis (CBA) emphasizes direct benefits but often overlooks wider economic benefits (WEB) like productivity gains and human capital development within the knowledge economy. Even when WEB considered, most studies rarely capture the feedback loops between different benefits over time, limiting comprehensive evaluation. To address these gaps, this paper develops a system dynamics (SD)-based WEB evaluation framework, applying it to the Shatin to Central Link project in Hong Kong, which connects a major university to the local transit network. The model uses student salary as a proxy of productivity, reflecting indirect economic benefits tied to human capital enhancement. Based on survey data, the results show increased student productivity contributes a cumulative impact equivalent to 1.60% of total WEB value over 50 years. The analysis reveals significant long-term gains, with profitability increasing from HK$35.79 billion to HK$42.20 billion and the investment payback period shortening by 0.42 years to 13.86 years when feedback loops are considered versus traditional CBA. These findings highlight the cumulative effects from the interactions among benefits and the reinforcing relationship between infrastructure and productivity in driving economic growth. While this case focuses on one university, the framework can be extended to assess wider regional impacts. The model’s generalizability is discussed through feature customization, integrated impacts, and multi-stakeholder perspectives. This research demonstrates that the SD approach enhances WEB analysis, overcoming limitations of CBA and offering actionable insights for investment decisions that promote sustainable, knowledge-based urban development.]]></description>
      <pubDate>Wed, 13 Aug 2025 09:25:50 GMT</pubDate>
      <guid>https://trid.trb.org/View/2577233</guid>
    </item>
    <item>
      <title>Production-Input Productivity Vis-a-Vis Input-Price in Indian Railways</title>
      <link>https://trid.trb.org/View/2572949</link>
      <description><![CDATA[This article reports on a study of production-input productivity in Indian Railways, described by the authors as a public sector behemoth, that includes a network of 68,000 kilometers of track, a fleet of 318,000 freight wagons and 75,000 passenger carriages. Every day, Indian Railway transports above 22 million passengers and 3 million tons of freight. The authors focus on the managerial efficiency of Indian Railway by comparing factor marginal products, based on empirical analysis, and factor prices.  They use a multiproduct CET-CES (constant elasticity of transformation-constant elasticity of substitution) econometric model to determine the production function, on output-input sides. Factor marginal products are obtained after partially differentiating the production function. The study found that the ratio of factor marginal products (MP) to factor prices are not same across the factors, showing a lack of cost-saving behaviors in factor use.  The authors conclude with a brief discussion of strategies to improve productivity in the areas of labor, energy consumption, and capital.]]></description>
      <pubDate>Fri, 11 Jul 2025 10:00:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2572949</guid>
    </item>
    <item>
      <title>Algorithm for Evaluating the Effective Methods of Staff Organization</title>
      <link>https://trid.trb.org/View/2408086</link>
      <description><![CDATA[Formation of a new remuneration transport ideology makes new approaches to the importance and size of the tariff rate as the main regulator of the growth of professional development and growth of labor productivity. It is necessary to form a new ideology of remuneration in the company that led to the formation of a new wage system as the primary regulator of the growth of labor productivity and economic efficiency of the company as a whole, and to revive the function of wages. The objectivity of labor potential evaluation is an extremely difficult question both for workers and evaluators. There is a danger that evaluation will be used only as a bureaucratic method and will give managers an opportunity to make any decision they want. In this case, it is possible to use a performance assessment tool that reflects multiple points of view - a manager, foreman, general director of an enterprise or a higher-level manager. To ensure a qualitative measurement of labor potential, there must be sufficient criteria to eliminate the possibility of a lack of factors when considering the most important properties of its influence on the results of the enterprise. Moreover, all the criteria should be weighed to minimize the mispresentation, which happens because of non-conforming or unacceptable rate. After the authors identify the amount of criteria which will be used for workers potential evaluation, it will be necessary to develop credible and reliable rating scales.]]></description>
      <pubDate>Fri, 21 Mar 2025 16:02:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2408086</guid>
    </item>
    <item>
      <title>Modern Problems of Assessing the Work Efficiency of Train Dispatchers</title>
      <link>https://trid.trb.org/View/2407738</link>
      <description><![CDATA[Within the framework of the implementation of the transportation process and ensuring its efficiency, the main task is to make employees to realize the goals of railway transport reform achieved with the dominant role of labor. In modern conditions, dispatch control of the transportation process is a rather complex, hierarchical system. At different levels of this system, their own management objects and their own production tasks are formed. The efficiency of the operational management of transportation is determined by the structure of management bodies, the organization of the labor activity of dispatchers at each range of the railway. A train dispatcher’s activity, like any labor process, also has got its own organization and realizes in the frames of concrete system. There were attempts to assess the labor effectiveness and its difficulty in the given category of workers on the basis of integral and general indicators, such as labor productivity of dispatcher’s shifts, railway profits and returns in general and so on. This way turned out ineffective too, because all operating parameters of the railway transport greatly affect the quantity of factors mentioned above. Undoubtedly, in the condition of centralization of the transportation complex management function in Russian Railways, activities of workers and derivative of train traffic management, the quality of railway maintenance services also need to be assessed using special criteria and indicators, which are closely linked to train dispatcher and his professionalism.]]></description>
      <pubDate>Wed, 19 Mar 2025 10:12:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2407738</guid>
    </item>
    <item>
      <title>On the Need for Humanitarian Transformation (Harmonization) of the Management Process for the Specialists of Railway Transport Organizations</title>
      <link>https://trid.trb.org/View/2407737</link>
      <description><![CDATA[An attempt to systematize knowledge on the management of railway transport organizations’ specialists as a topical problem in modern conditions, when highly effective work with information and its sources, which is produced on an intellectual basis, comes to the forefront, is presented in the article. The article presents the author’s interpretation of the term “intellectual workers”. On the basis of the fundamental aspects of the definition, an attempt is made to establish the patterns of correlation between the needs of professionals and the optimal nature of the controlling impact. The hypothesis that specialists of railway transport organizations make labor efforts not only because of wages has been put forward. The hypothesis was tested using the method of V. Vroom’s expectation theory. As a result, the paradox was revealed - the effectiveness of management influences the specialists’ labor efficiency, and the specialists’ labor efficiency determines the management effectiveness, producing specific recommendations and scenarios. Thus, in modern conditions of increasing technologization, standardization and optimization of management in transport organizations and the simultaneous spread of humanistic trends in society, there is a new management paradigm, which involves the maximum involvement of highly qualified specialists in the management of the organization. It is concluded that this requires a transition from hierarchical relations to horizontal ones, from administrative-command to human ones, from management to coaching.]]></description>
      <pubDate>Wed, 19 Mar 2025 10:12:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2407737</guid>
    </item>
    <item>
      <title>Employer-provided parking: Departure time choice, investment decision, and welfare effects</title>
      <link>https://trid.trb.org/View/2450561</link>
      <description><![CDATA[Employer-provided parking (EP) has become a prevalent way to reduce employees' parking delays and late arrivals through offering them free or low-price parking spaces at the workplace. This paper explores the EP effects on employees' trip scheduling, employer's EP investment decision, and commercial parking operator's pricing decision. An analytical trip scheduling equilibrium model is first presented to model the interaction between EP provision and employees' departure time choices during morning commute. A profit maximization model incorporating the employee productivity is then developed to determine the employer's optimal EP investment decision. A competitive game between employer's investment decision and commercial parking operator's parking pricing decision is analytically investigated, together with the effects of EP investment on social welfare. The results show that the EP investment can lead to a win-win situation with decreased employee commuting cost and increased firm production output; and the employer would like to provide only part of the employees with EP services. The competitive game solutions depend very much on the marginal costs of EP and commercial parking spaces. The EP investment with an excessively high commercial parking fee may hurt the society due to decreased social welfare.]]></description>
      <pubDate>Wed, 20 Nov 2024 12:00:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/2450561</guid>
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