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        <title>LOGI – Scientific Journal on Transport and Logistics Feed</title>
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            <title><![CDATA[Assessing and Explaining Road Network Performance in Data-scarce Contexts: The Case of the Constantine Metropolis in Eastern Algeria]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0011</link>
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            <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Accurately assessing transport network performance in developing countries is a challenging task due to the lack of reliable data. This article proposes an operational approach to evaluate the performance of the road network using an accessibility-based method. It examines both the topological and economic dimensions of the network by applying graph theory and conducting a road traffic survey to assess temporal accessibility. In parallel, the analysis incorporates the urban structure and the spatial positioning of cities to explain variations in accessibility and network performance between off-peak and peak hours. The results reveal that Constantine’s Road network has a radio-concentric structure that requires reconfiguration into a more reticular layout, in line with the increasingly polycentric form of the metropolis. These findings can support more informed urban planning decisions, which are essential for improving the daily transport services for both local and non-local users.]]></description>
            <category>ARTICLE</category>
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            <title><![CDATA[Modeling the Impact of Geopolitical Conflict on EU Transport Flows]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0012</link>
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            <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[This paper analyzes the impact of the Russia–Ukraine geopolitical conflict on transport flows within the European Union during the period 2020–2024. The research is based on Eurostat data and an aggregated Geopolitical Risk Index, aiming to identify structural changes in the volumes of road, water, and air transport following the escalation of the conflict in 2022. The Chow test was applied to verify the existence of structural breaks, while the Bai–Perron test was used to identify multiple breakpoints. The results confirmed statistically significant structural changes across all transport modes. Water transport demonstrated a long-term declining trend and the highest sensitivity to geopolitical risks, whereas road and air transport stabilized at lower levels after the initial decline. The findings highlight the asymmetric impact of geopolitical shocks on individual transport modes and emphasize the need for long-term monitoring, the development of multimodal analytical models, and the creation of EU-specific geopolitical risk indicators. The study also underlines the importance of strengthening the resilience of European transport systems against external geopolitical disruptions.]]></description>
            <category>ARTICLE</category>
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            <title><![CDATA[Predicting Bike-Sharing Adoption for Green Mobility Planning Using Hard Voting Ensemble Classifier in Machine Learning: Evidence from Kigali City, Rwanda]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0009</link>
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            <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Bike-sharing systems have proven to support sustainable urban mobility across the globe; however, limited research has integrated demographic, socioeconomic, and environmental factors to predict user adoption effectively. This study addresses this gap by applying a hard voting classifier that combines XGBoost, AdaBoost, and Random Forest models to analyze data collected from 5,000 residents in Kigali, Rwanda, enriched with corresponding air quality and weather variables. The model was evaluated using 10-fold cross-validation, and the voting classifier outperformed individual models with an accuracy of 97% (±0.5%), compared to 96% (±4%) for Random Forest, 96% for AdaBoost, and 93% for XGBoost. Feature importance analysis revealed that monthly income (13.3%), age (13.1%), location (11.9%), and household size (8.4%) were the most significant predictors of bike-sharing adoption. Among marital status groups, divorced individuals (4%) were more likely to adopt bike-sharing due to its flexibility in meeting independent travel needs. Environmental variables such as temperature (2.6%), humidity (1.5%), nitrogen dioxide (3.5%), and carbon monoxide (3.1%) also influenced usage patterns. These findings provide actionable insights for urban planners and policymakers to develop data-driven strategies that promote active mobility and reduce environmental pollution.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Rider Injuries of Scooter – Passenger Car on Various Types of Collisions Based On PC-Crash Simulations]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0008</link>
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            <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Motorcycles (MCs) are a prevalent mode of transportation in Thailand, constituting over 50% of registered vehicles, with the majority being underbone and step-through types. However, MC accidents pose significant road safety challenges, contributing to a high rate of injuries and fatalities. This study evaluates rider injuries in scooter-passenger car collisions through PC-Crash simulations, addressing the urgent need for MC test protocol specific to Thailand. Adhering to the ISO 13232-8:2005 standard for crash conditions, various collision scenarios were simulated to focus on head and chest injuries, evaluated using the Head Injury Criterion (HIC) and chest deceleration measurements, respectively. Results indicate significant variability in rider kinematics and injury patterns across different impact scenarios, highlighting severe head and chest injuries in direct perpendicular impacts. The study underscores the importance of adaptive safety measures tailored to specific collision scenarios and advocates for further research integrating real-world accident data to enhance the effectiveness of safety strategies in reducing motorcycle-related injuries and fatalities in Thailand.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Drivers of Electric Vehicle Market Penetration: Empirical Findings from Bulgaria]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0010</link>
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            <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[This study investigates the impact of government tax policy on the development of sustainable transport in Bulgaria by analysing the drivers of electric vehicle (EV) market penetration. Using a balanced panel dataset covering the period 2018–2023 for selected Central and Eastern European countries (CEECs), a two-way fixed effects panel regression model is employed to account for both country-specific and time-specific unobserved heterogeneity. The results indicate that higher economic development, proxied by GDP per capita in PPS, significantly increases EV market share, highlighting affordability as a fundamental driver of electric mobility adoption. Population density is also found to have a positive, statistically significant effect, suggesting that urbanisation and spatial efficiency facilitate EV diffusion by enabling shorter travel distances and a more effective use of infrastructure. In contrast, the analysis does not provide sufficient evidence that the absolute number of public charging stations directly influences EV market share over time within countries. Furthermore, the estimated country fixed effects reveal substantial cross-country heterogeneity in EV adoption, reflecting persistent structural and institutional differences beyond observable economic and infrastructural factors. These findings underscore that EV adoption is a multifaceted process shaped by the interaction of economic capacity, spatial structure, and country-specific conditions.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Forms of Public Transport in Small Towns and their Development]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0007</link>
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            <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[The article deals with urban public transport systems in small towns with no more than 25,000 residents. The aim is to recommend the criteria which are required to be followed by planning, organizing and controlling such small urban public transport systems. The perspectives of 3 stakeholders – passengers, carriers and municipalities are aggregated by combining of conjunctive and disjunctive decision-making methods. The enumeration of the importance of the criterions (weights) is done by the Saaty method. The research is based on surveys with representatives of all stakeholders in all monitored small towns. The specifics of such small urban transport systems are mentioned. The coordination with long-distance transport and the periodic timetable are identified as important features to be followed by local authorities responsible for urban public transport.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[An Analysis on Shared Charging Hubs for Eco-Friendly Vehicles in Urban Logistics]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0006</link>
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            <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Using electric vehicles in urban freight distribution generates opportunities (e.g., zero emissions in urban areas) and challenges (e.g., range of electric vehicles). Their adoption implies that operators need to change the approach to freight distribution. As an example, the reduced range of an electric vehicle substantially reduces the kilometers traveled before a recharging stop. This implies a redefinition of routes, fleet size, personnel, and vehicle charging management. This research investigates the changes that operators must make when using shared charging hubs. Given the interest of logistic companies in reducing both their fixed and operating costs, the use of shared recharging hubs for electric vans and trucks constitutes a relevant applied research theme. This paper explores the pre-feasibility of some possible concrete scenarios. In more detail, the investigated scenarios involve charging hubs located in three different settings: at the depot, based on client distribution, and scattered across the area. The aim is to assess the performance of each scenario under the assumption that the position of the charging hub reflects the choices of operators on the usage of electric freight vehicles. The indicators considered for comparison are the delivery service time, the charging time and the number of routes.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Stable Supply Chain in Terms of Geopolitical Risks]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0005</link>
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            <pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[A stable supply chain is the key to the success of every company, especially in the context of current challenges such as globalization and geopolitical instability. This paper addresses the issue of supply chain stability and management (SCM) through an analysis of domestic and foreign literary sources, utilizing systems theory to examine the interconnectedness of supply network elements. The study identifies critical pressures including capacity constraints, skilled worker shortages, and climate change impacts. It emphasizes the necessity of sustainability, presenting the “9R” closed-loop supply system as a vital model for minimizing waste and resource inputs while maintaining economic value. Furthermore, the results highlight the increasing role of digitalization and artificial intelligence in ensuring comprehensive visibility and forecasting. The research concludes that logistics must evolve from a cost-optimized operation into a strategic tool for risk management. To ensure future stability and resilience, companies must focus on supplier diversification, invest in automation, and integrate cyber resilience into their organizational culture.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Enabling a Sustainable Modal Shift: a Pilot Study on Willingness to Pay for Rail Transport in Thailand’s Sugar Industry]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0004</link>
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            <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Despite significant investments in rail infrastructure, road transport continues to dominate in Thailand’s sugar industry. This pilot study examines the reasons behind slow rail adoption by applying the Theory of Planned Behavior (TPB) and the Contingent Valuation Method (CVM). This study used data from logistics managers in Northeast Thailand, who participated in a structured questionnaire covering attitudes, subjective norms, perceived behavioral control, and intention. The results indicated a behavioral intention score ranging from 3.00 to 3.20, suggesting a moderate inclination toward modal shift, with attitudes and perceived control emerging as the strongest influences, while subjective norms had only a minor effect. Willingness to pay for rail ranged from 200 to 230 THB per ton-kilometers—substantially below the 400 to 430 THB required for exclusive road use, indicating some degree of caution despite generally positive views toward rail. This study creates a combined framework using TPB–CVM for analyzing behavioral-economic freight modeling and suggests including demand-side interventions, such as risk mitigation and normative support, alongside infrastructure-led strategies. The findings inform the design of logistics policies that support a more sustainable modal shift.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Freight Traffic Distribution Under Conditions of Limited Capacity of Railway Sections]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0003</link>
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            <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[The research aims to enhance methods for distributing freight flows across a railway network to ensure unhindered access to public railway transportation services for shippers. The study was conducted using the methodological framework of railway operation theory in conjunction with operations research methods. During the research, a method for distributing freight flows across a railway network, taking into account capacity constraints of specific sections, as well as a method for allocating additional transportation costs among shippers, is proposed. The originality of the research lies in improving the methodology for distributing freight flows across railway networks under capacity constraints. The proposed method makes it possible to consider the interests of individual shippers when using public railway transport by identifying sections with capacity constraints and adjusting tariff distances accordingly. The applied relevance is confirmed by the fact that implementing the results can improve methods of organizing wagon flows and determining freight tariffs, taking into account the interests of both railways and their customers.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Integrating Genetic Algorithms with LSTM for Improved Public Transportation Passenger Forecasting in Thailand]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0002</link>
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            <pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[This study presents a novel forecasting framework that integrates Genetic Algorithms (GA) with Long Short-Term Memory (LSTM) networks to enhance the prediction accuracy of passenger volumes in Thailand's public transportation systems. The unique contribution of this research lies in leveraging GA for automatic hyperparameter optimization of LSTM models, improving performance over conventional methods. The dataset comprises weekly aggregated passenger counts from road and rail modes between January 2020 and August 2023. The proposed GA-enhanced LSTM model (LSTM+GA) is evaluated using four metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Median Absolute Percentage Error (MdAPE). Results demonstrate that LSTM+GA outperforms baseline models including Autoregressive Integrated Moving Average (ARIMA), Facebook Prophet (FBProphet), and standard LSTM, achieving a MAPE of 4.04 for road and 5.86 for rail datasets. These findings suggest that the proposed model offers a practical and scalable tool for transport planners and public agencies seeking to optimize forecasting strategies and decision-making.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Simulation as a Tool for Optimizing Logistics Flows to Increase Assembly Line Productivity]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2026-0001</link>
            <guid isPermaLink="false">/article/10.2478/logi-2026-0001</guid>
            <pubDate>Fri, 06 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Assembly is one of the key phases of the production process, as it significantly affects productivity and the smoothness of logistics flows. Eliminating logistical and process-related waste therefore represents one of the most effective approaches for improving the performance of assembly systems while simultaneously supporting the smooth flow of materials throughout the entire organization. The paper focuses on the optimization of the intra-company logistics of an assembly line for the production of automatic elevator doors using a discrete simulation method. The digital model of the line was created in the Tecnomatix Plant Simulation environment based on real data on operation times, work distribution and material flows in a system without inter-operational bins. The simulation analysis identified the main bottlenecks caused by uneven worker workload and long cycle times of selected operations. Several improvement options were designed and verified using the trial-and-error method. A significant increase in productivity was achieved by introducing a new workstation and redistributing activities among workers, which increased production from 72 to 81 pieces per shift.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Modernization of Railway Vehicles and its Impact on the Carrier’s Operating Costs in Regional Railway Transport]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0020</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[In a period of economic turbulence and rising input costs such as labour, fuel, and traction energy, railway operators face increasing operating expenses. The authors focus on the modernization of regional railway vehicles and assess its impact on operating costs. Multiple units bring savings by reducing shunting and dwell times at terminal stations. Six scenarios combining three types of vehicles and two operating concepts are presented. Changes in operating cost items as well as efficiency are quantified using technological procedures, operational measures, and economic tools. The case study shows that diesel multiple units can reduce rail infrastructure use costs by up to 7 % and fuel costs by 5–6 % compared to the current operations. Electric multiple units increase (depending on the operation concept) infrastructure usage costs by nearly 15% but save on traction energy cost and maintenance cost. Battery electric multiple units generate the largest depreciations (up to 28 %) however they save by 5–7 % in traction energy costs compared to electric traction. It is important for stakeholders and policymakers, with the same number of trainsets and staff, it is possible to increase service frequency and thereby improve the supply and quality of regional rail transport.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Sustainability in the European Automotive Sector: Approaches and Challenges]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0019</link>
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            <pubDate>Fri, 26 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Sustainability has become increasingly essential for companies to remain competitive. The automotive industry is one of the sectors most affected by sustainable regulatory standards. Companies face pressures, changes in consumer behaviour, and evolving expectations alongside growing demands for environmentally sustainable practices. However, sustainability implementation practices and main initiatives remain inconsistent across the sector. This study aims to identify key indicators for successful sustainability implementation by analysing best practices among the four largest companies within the European automotive industry through quantitative and qualitative content analysis. The findings define main approaches and challenges companies faced, categorising key activities within the environmental, social, and governance (ESG) dimensions, and underscoring the importance of embedding sustainability into corporate strategy. The analysis also highlights inconsistencies between stated objectives and actual approaches of analysed companies, which may jeopardise the effectiveness of sustainability implementation, companies’ competitive positions, and performance. Based on the analysis of best practices, the study provides practical recommendations and guidelines for smaller manufacturers, suppliers, and other industries and organizations to adapt and successfully implement sustainability initiatives.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Simple Switch between Single Trip Vehicle Routing Problem and Multiple Trip Vehicle Routing Problem]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0018</link>
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            <pubDate>Fri, 26 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Complexity of the mathematical model development for vehicle routing problems increases with the addition of more variables, constraints, and instances to single trip vehicle routing models. In this study, mathematical model was developed for the single trip vehicle routing problem in the initial phase and then it was converted to a multiple trip vehicle routing model using a simple approach. Novelty is brought to the study through simple three index formulation developed for the multiple trip vehicle routing problem, with a fewer constraint. Both the models were developed with Mixed integer linear programing techniques and were tested with the real-world data set using Cplex optimizer. Output of the experimental analysis showed a clear reduction in distance travel and the number of vehicles used. It implies that the optimization algorithm proposed in the study is applicable to real world cases to enjoy cost benefits and easiness in scheduling and optimizations. This study contributes to the existing knowledge gap through the development of novel and simple mathematical model, and the model’s testing and validation serve to the industrial applications as well.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Erratum to: Factors Associated with Medium Trucks Casualties in the Special Region of Yogyakarta, Indonesia]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0017</link>
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            <pubDate>Mon, 15 Dec 2025 00:00:00 GMT</pubDate>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[The Impact of Fuel Price Fluctuations on Road Transportation Safety Across Europe]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0016</link>
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            <pubDate>Mon, 15 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This study examines whether fluctuations in real fuel prices influence road-traffic accidents across 28 European countries from 2010 to 2023. Using a panel econometric framework combining two-way fixed effects and first-difference instrumental variable (FD-IV) estimation, Brent crude oil prices (in euros) serve as an exogenous instrument for domestic fuel prices. Results show no consistent causal link between fuel prices and accident totals. The baseline FD-IV model yields a short-term positive elasticity (β ≈ 0.21, p = 0.003), implying that a 10% increase in diesel prices corresponds to a 2.1% rise in accidents; however, this effect disappears once pandemic years (2020-2021) are excluded. Robustness checks confirm the insignificance of the relationship across alternative specifications. The findings suggest that price-accident correlations are transient and crisis-driven rather than structural, underscoring that long-term road safety depends primarily on infrastructure quality, enforcement, and vehicle safety standards rather than energy price fluctuations.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[The Position of Railway Sidings in the Slovak Republic]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0015</link>
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            <pubDate>Fri, 12 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The COVID-19 pandemic disrupted businesses and economies worldwide, including Slovakia, and interrupted supply chains, causing a decline in rail freight volumes, particularly in the second quarter of 2020, though the impact in Slovakia was less severe than in other EU countries [1]. Combined with a recession in the metallurgical sector, the pandemic contributed to historically low rail freight performance [2], forcing many companies to limit or suspend production, which reduced transport demand before partial recovery. This paper analyses the current state of railway sidings in the Slovak Republic, focusing on their role in freight transport, operational trends, and usage [3]. It applies an analytical approach supported by statistical data and computational tools to assess siding capacity, efficiency, and potential environmental benefits of modal shift from road to rail. The study also reviews public funding mechanisms supporting siding development. Results highlight declining interest in siding operations, the influence of industrial production changes, and opportunities for targeted investment. Findings provide a strategic basis for sustainable freight planning and infrastructure development [4].]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Methodology for Selecting the Most Suitable Functionalities for Travel Application]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0014</link>
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            <pubDate>Tue, 14 Oct 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The rapid development of travel applications has significantly transformed user experiences in both public and individual transportation. However, the increasing complexity and diversity of available functionalities pose a challenge for developers and stakeholders in identifying and implementing the most suitable features that reflect user needs while remaining technically and economically feasible. This article proposes a systematic methodology for selecting optimal functionalities for travel applications, combining expert evaluations, user preferences, and multi-criteria decision-making techniques, specifically the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The practical application of the methodology was demonstrated in the context of urban public transport on a sample of selected functionalities. The results showed that the most suitable functionalities include route planning, real-time information provision, and electronic ticket sales, while functionalities such as eco-routing and personalized recommendations received lower preferences. The proposed approach provides specific recommendations for application developers and transport authorities, enabling a balanced implementation of functionalities to maximize user satisfaction, improve operational efficiency, and support technological sustainability.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Logistics Planning Performance Model for Improving Offshore Operations in the Gulf of Guinea]]></title>
            <link>https://reference-global.com/article/10.2478/logi-2025-0013</link>
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            <pubDate>Wed, 08 Oct 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This paper aims to develop a model for measuring logistics performance using logistics planning variables. Principal component analysis and structural equation modeling were applied to evaluate data from a sample of 360 senior/middle managers working in various offshore logistics companies, randomly selected from among Nigerian logistics workers. The results show that logistics planning positively impacts profitability by strengthening disaster resilience and business continuity procedures. Additionally, the research indicates that a company can maintain both efficiency and risk management by implementing effective planning procedures, which are a crucial component of logistics planning. Logistics service providers involved in offshore operations should pay close attention to the following: identifying emergency contacts for logistics-related incidents, assessing the level of risk that the company can tolerate in its logistics operations, determining when to revisit continuity plans for logistics processes, evaluating these continuity plans effectively, ensuring adequate training for employees involved in their preparation, earnings before taxes with competitors, and tracking the pace of recovery from disruptions relative to competitors.]]></description>
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