Search Results (57)

Empty-vehicle repositioning is a persistent challenge in long-haul road freight because carriers must reduce empty mileage without sacrificing service reliability under lead times, appointment windows, and uncertain load realization. This paper formulates empty-vehicle repositioning on freight corridors as a stochastic control problem with explicit space–time feasibility and a stated within-epoch event order. Lead times couple current dispatch decisions to future capacity, pickup windows impose reachability constraints, and stochastic match feasibility captures information and market frictions. We develop dynamic lower bounds from time-expanded relaxations, showing that dual prices of inventory-balance constraints can be interpreted as space–time scarcity values. We further introduce an order-dependent nested friction decomposition that separates excess empty movement into spatial imbalance, temporal mismatch induced by lead times and time windows, and information frictions. Guided by this structure, we propose price-guided rolling-horizon and generalized-cost policies and evaluate them on synthetic corridor experiments organized around the three friction families. The results reveal service–empty-mileage trade-offs, a pronounced knee in the Pareto frontier, lower service loss under widened tight pickup windows, and strong sensitivity to match feasibility. The PG-RH policy reduces empty-distance exposure and total cost relative to static balancing in the main scenarios while maintaining comparable, but not uniformly dominant, service performance. The framework provides a diagnostic basis for identifying the sources of deadhead and for designing operational interventions that reduce empty mileage without undermining reliability. Full article

Huizhou Ancient Roads serve as a vital linear heritage carrier for inheriting Huizhou regional culture and supporting rural cultural revitalization. By analyzing the spatial pattern of Huizhou Vernacular Architecture and its correlation with ancient roads, this study provides a scientific basis for the systematic conservation, integrated development and sustainable utilization of Huizhou cultural heritage, as well as the promotion of cultural sustainability. Employing nearest neighbor index, kernel density analysis, and geographic detector, the results reveal that: (1) The spatial distribution of Huizhou Vernacular Architecture shows significant clustering and imbalance, forming a spatial pattern featuring “one main center, two cores, and extension along roads”, with the most intensive distribution in Shexian and Jixi counties. (2) Ancient road density, settlement density and freight volume are the dominant factors. Ancient road traffic and social culture are the most influential dimensions affecting the spatial distribution of Huizhou Vernacular Architecture. The formation and layout of Vernacular Architecture rely on multi-factor synergy, emphasizing multi-dimensional coupling. (3) Ancient road density and settlement density present the highest spatial variability, while elevation and slope show the lowest spatial variability. Mean elevation, mean slope, ancient road density, settlement density and cultural resources are all positively correlated with the distribution of Vernacular Architecture. Full article

In the platform economy, the pricing mechanisms are typically determined unilaterally by the platform, leading to increasingly prominent issues such as unreasonable commission rules and insufficient protection of drivers’ rights and interests. The commission rate is a key regulatory parameter for balancing revenue distribution between network freight platforms and carriers, directly shaping their strategic behaviors and influencing the industry’s sustainable development. This study aims to adopt the commission rate as the core indicator of platform revenue distribution. Through equilibrium analysis and numerical simulation, it develops a revenue-maximization model grounded in both individual rationality and collective rationality. Based on this framework, it identifies the commission ranges that achieve Pareto improvements at different stages of platform development, thereby optimizing the platform’s revenue distribution strategy. The findings show that, under collective rationality, the effort levels of both platforms and carriers exceed those under individual rationality. When the commission rate falls within a specific range, the collective-revenue-maximization strategy enhances the benefits of both parties and achieves Pareto improvement. The optimal commission rate increases progressively as the platform develops and is strongly associated with the marginal effects of effort levels on order volume and the logistics service cost coefficient. The results offer theoretical guidance and practical insights for the scientific design of commission mechanisms in network freight platforms. Full article

Sustainability is increasingly viewed as a crucial element shaping contemporary transport policies and operational strategies. This article presents a comprehensive economic evaluation of Polish international road freight carriers in 2024 compared with the results from previous years. It introduces an original and innovative method for assessing the economic condition of transport companies, based on real-time operational data and an integrated demand–supply diagnosis of the road freight market, which also supports macroeconomic forecasting. The study covers carriers operating in Eastern and European Union (EU) markets and spans an exceptionally long period (2009–2024), enabling the identification of long-term trends across four business cycles. Unlike existing research, which typically analyses isolated profitability or efficiency indicators, the proposed method offers a universal and contextual framework linking economic outcomes with detailed company characteristics. It provides a structured assessment of cost components across eight categories and reveals relationships between economic performance and factors such as transport directions, fleet utilisation, company size, diversification strategies, and region of origin. The analysis includes a comparison of two carrier groups, statistical profiling of companies, and average vehicle kilometre costs by company size and transport direction. This contextual analysis, including a comparison between the Polish and Lithuanian markets, strengthens the credibility of the results by situating them within a broader comparative framework and supporting a more accurate interpretation of the observed patterns. The pilot nature of this cross contextual approach constitutes an additional contribution of the study, providing a basis for future comparative research on the functioning of transport enterprises across the EU and the Eastern markets. In addition, the assessment incorporates a pilot comparative study of external factors influencing the transport market, conducted among Polish and Lithuanian companies. This multifaceted and internationally unprecedented approach strengthens the interpretability of the results and offers a robust foundation for strategic decision-making and organisational adaptation in an increasingly competitive and uncertain transport market. Full article

Background: The rapid digital transformation in logistics requires the adaptation of transport companies to electronic information management, particularly through the implementation of electronic consignment notes (e-CMR). This study examines how the digitization of transport documentation affects the competitiveness, operational efficiency, and environmental performance of road freight transport companies. Methods: A questionnaire survey was conducted among Slovak and Czech carriers to analyze their experience and readiness for adopting e-CMR. The collected data were evaluated using descriptive and comparative methods to quantify economic and ecological impacts, focusing mainly on invoicing efficiency and paper consumption. Results: The results show that only a small share of carriers currently use e-CMR, primarily due to high software costs and the lack of partner participation. Nevertheless, digitization can significantly shorten the average invoicing delay by approximately 11.5 days, releasing around 7% of tied-up working capital and improving cash flow. From an environmental perspective, the replacement of paper CMR forms could save millions of sheets annually, leading to a substantial reduction in CO₂ emissions and paper waste within the V4 region. Conclusions: The findings confirm that the adoption of e-CMR improves economic performance, increases transparency, and contributes to sustainability, representing a crucial step toward a more competitive and environmentally responsible road freight transport sector in Europe. Full article

This study established an empirical structural equation model to examine whether the adoption of green shipping practices (GSPs) will influence customer satisfaction and customer retention in the container shipping industry from the perspective of freight forwarders, while accounting for the effectiveness of marketing activities. Through questionnaire survey, 114 responding data were collected from freight forwarders in the Taiwan area. The main results discovered are as follows: (1) adoption of GSPs was found to positively influence companies’ environmental performance in terms of perceived green capability (PGC); (2) the most significant finding in this study is the irrelevance of PGC to both CS and CR from the perspective of freight forwarders. In addition, after discussing the managerial implications, this study examined whether adopting GSPs to improve the environmental and productivity performance of liner carriers remains an ongoing debate and if it warrants a further investigation. Full article

The main task of a railway undertaking is to transport passengers and/or freight safely and cost-effectively. This task is enabled by the use of energy carriers. Since most of the rolling stock operated by major railway undertakings is electric, an additional area of activity involves managing electricity consumption and supply processes. Every business activity entails risk, including energy-related operations. The aim of this paper is to develop a method for assessing the risks associated with a railway undertaking from an electrical perspective and, based on this method, to perform such an assessment. As part of the research, a universal risk assessment approach based on the M_o_R^® (Management of Risk) methodology was developed. Risk identification was performed using the risk description principle, followed by risk estimation. The study proposes national-level variables and a procedure for determining them using publicly available data. Risk assessment and process evaluation were carried out using Monte Carlo simulation as a probabilistic tool for uncertainty propagation. As a result, the potential losses and gains that a railway undertaking may experience from an electrical perspective were estimated for scenarios in which the identified risks materialize. Full article

The present study is devoted to the selection of a new criterion for the optimization of the specific volume/area of universal freight wagons. The currently used criterion—minimum of reduced costs—is practically not applied and the costs for different railway administrations and regions differ significantly. This leads to insufficient use of the effective volume/area of the wagon and to insufficient profitability when carrying out transport work. An analysis of the technical parameters of freight wagons was made, based on which the new criterion—loading tare coefficient—was proposed, depending only on the type of cargo and the wagon parameters. In the analysis, the classical methods for determining the technical parameters were used and an original method for finding the minimum of the new criterion was proposed. These methods were applied to optimize the parameters of a real wagon and the results show that it is expedient to reduce the volume of the wagon. With the optimized wagon, the same transport work can be carried out, as the number of trains for its execution is reduced. The conducted studies can be used by the designers of new freight wagons and by the companies—both the carriers or lessors of wagons. Full article

This study presents an optimisation algorithm to solve a collaborative vehicle routing problem with time windows. The algorithm was developed and tested on a real-world case study to investigate the potential for a shared-fleet operation involving public organisations, specifically, the Isle of Wight Council (IWC) and the National Health Service (NHS). The aim was to evaluate whether collaborative use of public-sector vehicles could reduce total fleet size, operational costs, and vehicle-kilometres travelled, while maintaining existing service levels. The study develops a two-stage optimisation algorithm that incorporates real-world constraints such as vehicle capacity, time windows, and pre-assigned mandatory stops. The first stage maximises the number of assignable collaborative tasks across fleets, while the second stage minimises the total travel cost conditional on this maximum assignment. Using historical data and a novel optimisation algorithm, vehicle movements were modelled to evaluate benefits in terms of cost savings, reduced CO₂ emissions and vehicle usage. The case study results generated by the algorithm suggested that considerable improvements could be made by integrating patient diagnostic collection rounds into the existing IWC minibus routes: (a 10.6% reduction in CO₂ emissions (644 kg/month) and vehicle kilometres (2300 km/month), a 20.2% reduction in working hours (219 h/month), and a 17.8% saving in cost (GBP (£) 3596/month) leading to IWC gaining a potential additional revenue of GBP (£) 54,829 annually while reducing costs by 22.4% for the NHS. The findings highlighted the potential benefits of shared fleet collaborations between public sector organisations, offering a model for similar collaborations in other public sector contexts. Full article

Background: Carbon pricing in the form of fuel taxes is an important tool for abating climate change. This study examines the impact and pass-through of fuel taxes in the truckload freight market. Methods: State-level truckload market data, integrated with retail diesel prices, are analyzed using fixed-effects regression modeling. Results: Taxes and fuel costs are not only passed on by diesel retailers to motor carriers; the results reveal the overshifting of diesel taxes from motor carriers to shippers. Conclusions: The findings are consistent with inelastic short-term demand for long-haul carriage, indicating that relatively large price increases will be necessary to reduce diesel consumption in the trucking industry. Full article

This paper analyzes models of goods delivery to city centers, with a specific focus on the city of Rijeka. Urban areas are increasingly facing problems such as traffic congestion, lack of delivery space, and negative environmental impacts. The aim of the research is to examine existing delivery models and propose sustainable solutions that include consolidation centers, alternative fuel vehicles, and smart technologies. The paper presents three main delivery models: using consolidation centers, environmentally friendly vehicles, and modular BentoBox systems. Based on traffic data analysis and surveys with carriers and business entities, it was found that most deliveries are carried out by large diesel vehicles, which often face difficulties due to the lack of designated unloading zones. Building on these findings, several improvement scenarios were developed, including the introduction of one or two consolidation centers and the use of eco-friendly vehicles. The results indicate that the proposed models have the potential to reduce the number of large freight vehicles in the city center, ease traffic congestion, and lower emissions. However, quantitative confirmation of these effects will require the development and application of simulation models. This study therefore serves as a foundation for such future research. Full article

To address carbon emission challenges in the transportation sector, intermodal transport—which enhances both economic and environmental benefits—is becoming ever more crucial. Governments often implement policies like subsidies or carbon taxes to steer intermodal transport towards sustainable development. This paper constructs a Stackelberg game model involving an eco-conscious shipper, an intermodal transport operator, and a carrier to analyze the combined economic and environmental impacts of carbon taxes, subsidies, and their dual-policy implementation on the intermodal transport system. The results of the study were as follows: (1) While either carbon taxes or subsidies alone enhance emission reduction and freight volume, their dual implementation generates synergistic effects, achieving superior emission reduction and freight growth; the study also challenges conventional wisdom by demonstrating that “reducing subsidies for intermodal transport may promote carbon reduction in transportation, while increasing taxes does not necessarily disadvantage logistics companies.” (2) Governments can achieve a win–win outcome for the economy and the environment by first prioritizing the increase of carbon taxes to effective levels, and guiding carriers to bear higher emissions reduction costs, before increasing subsidies. (3) Continuously enhancing shippers’ environmental awareness can effectively reduce total emissions. However, its impact on profits depends on the decision-making mode (decentralized vs. centralized) and the cost sharing among logistics companies. (4) There exists an optimal value for the intermodal operator’s share of emission reduction costs. Values that are too low can weaken the incentives for emission reduction, whereas values that are too high may harm profits. This research quantifies the complex interactions among policy combinations, consumer preferences, and enterprise cooperation modes. It offers valuable guidance for governments to design precise emission-reduction policies and helps upstream–downstream enterprises in intermodal transport systems optimize their operational strategies. Full article

The European Union is committed to reducing greenhouse gas emissions across all sectors, including the transportation sector. It is possible to assume that road freight transport will need to undergo technological changes, leading to greater use of alternative powertrains. This article builds on previous research on the energy consumption of battery electric trucks (BETs) and assesses the economic efficiency of electric vehicles in freight transport through a cost calculation. The primary objective was to determine the conditions under which a BET becomes cost-effective for a transport operator. These findings are practically relevant for freight carriers. Unlike other studies, this article does not focus on total cost of ownership (TCO) but rather compares the variable and fixed costs of BETs and conventional internal combustion engine trucks (ICETs). In this article, the operating costs of BETs were calculated and modeled based on real-world measurements of a tested vehicle. The research findings indicate that BETs are economically efficient, primarily when state subsidies are provided, compensating for the significant difference in purchase costs between BETs and conventional diesel trucks. This study found that optimizing operational conditions (daily routes) enables BETs to reach a break-even point at approximately 110,000 km per year, even without subsidies. Another significant finding is that battery capacity degradation leads to a projected annual operating cost increase of approximately 4%. Full article

Background: Sustainability is a critical concern in transportation, notably in light of governmental initiatives such as cap-and-trade systems and eco-label regulations aimed at reducing emissions. In this context, collaborative approaches among carriers, which involve the exchange of shipment requests, are increasingly recognized as effective strategies to enhance efficiency and reduce environmental impact. Methods: This research proposes a novel collaborative planning model for multimodal transport designed to minimize the total costs associated with freight movements, including both transportation and $C{O}_2$ emissions costs. Transshipments of freight between vehicles are modeled in the proposed formulation, promoting carrier coalitions. This study incorporated eco-labels, representing different emission ranges, to capture shipper sustainability preferences and integrated authority-imposed low-emission zones as constraints. A bi-objective approach was adopted, combining transportation and emission costs through a weighted sum method. Results: A case study on the Naples Bypass network (Italy) is presented, highlighting the model’s applicability in a real-world setting and demonstrating the effectiveness of collaborative transport planning. In addition, the model quantified the benefits of collaboration under low-emission zone (LEZ) constraints, showing notable reductions in both total costs and emissions. Conclusions: Overall, the proposed approach offers a valuable decision support tool for both carriers and policymakers, enabling sustainable freight transportation planning. Full article

This study examines whether adopting blockchain technology can enhance maritime supply chain performance by improving information sharing in the presence of mismatches between service capacity and demand. We analyze a maritime supply chain with one port and one carrier. Depending on whether the port and the carrier adopt blockchain technology to share forecast information, we consider two scenarios: neither party adopts the technology, or both the port and the carrier adopt it. We find that when the port’s ex ante expected demand is relatively low, the adoption of blockchain technology not only incentivizes the port to expand its service capacity but also increases the actual demand from the carrier. In addition, when the port has a high forecasting accuracy, it prompts both the port and the carrier to make more stable decisions on the service capacity and freight rates under demand uncertainty. Finally, while the port and the carrier exhibit conflicting incentives to adopt blockchain technology, these tensions can nonetheless be reconciled. This alignment becomes possible due to blockchain’s spillover effect: by enabling information sharing, it facilitates a closer match between the port’s service capacity and the carrier’s realized demand. Full article