<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
    <channel>
        <title>LOGI – Scientific Journal on Transport and Logistics Feed</title>
        <link>https://sciendo.com/journal/LOGI</link>
        <description>Sciendo RSS Feed for LOGI – Scientific Journal on Transport and Logistics</description>
        <lastBuildDate>Sun, 10 May 2026 13:18:16 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>https://github.com/jpmonette/feed</generator>
        <image>
            <title>LOGI – Scientific Journal on Transport and Logistics Feed</title>
            <url>https://sciendo-parsed.s3.eu-central-1.amazonaws.com/64723c04215d2f6c89dc11b0/cover-image.jpg</url>
            <link>https://sciendo.com/journal/LOGI</link>
        </image>
        <copyright>All rights reserved 2026, Institute of Technology and Business in České Budějovice</copyright>
        <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://sciendo.com/article/10.2478/logi-2026-0004</link>
            <guid>https://sciendo.com/article/10.2478/logi-2026-0004</guid>
            <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://sciendo.com/article/10.2478/logi-2026-0003</link>
            <guid>https://sciendo.com/article/10.2478/logi-2026-0003</guid>
            <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://sciendo.com/article/10.2478/logi-2026-0002</link>
            <guid>https://sciendo.com/article/10.2478/logi-2026-0002</guid>
            <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://sciendo.com/article/10.2478/logi-2026-0001</link>
            <guid>https://sciendo.com/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://sciendo.com/article/10.2478/logi-2025-0020</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0020</guid>
            <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://sciendo.com/article/10.2478/logi-2025-0019</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0019</guid>
            <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://sciendo.com/article/10.2478/logi-2025-0018</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0018</guid>
            <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[The Impact of Fuel Price Fluctuations on Road Transportation Safety Across Europe]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0016</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0016</guid>
            <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>
        </item>
        <item>
            <title><![CDATA[Erratum to: Factors Associated with Medium Trucks Casualties in the Special Region of Yogyakarta, Indonesia]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0017</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0017</guid>
            <pubDate>Mon, 15 Dec 2025 00:00:00 GMT</pubDate>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Position of Railway Sidings in the Slovak Republic]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0015</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0015</guid>
            <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://sciendo.com/article/10.2478/logi-2025-0014</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0014</guid>
            <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://sciendo.com/article/10.2478/logi-2025-0013</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0013</guid>
            <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>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Towards Practice-Oriented Education in Transport: A Comparative Study of Student Perceptions]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0012</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0012</guid>
            <pubDate>Fri, 05 Sep 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The article explores the modernization of educational strategies in the transport sector in light of the evolving demands of the 21st-century labor market. It addresses the mismatch between the current use of modern learning activities in university curricula and their perceived importance for developing students’ professional competencies. A comparative survey was conducted at the Faculty of Transport Engineering (University of Pardubice) in the academic years 2021/2022 and 2024/2025, targeting full-time students across several study programs. The study assessed both the current level of implementation and the perceived importance of eleven modern learning activities inspired by practices at leading university coworking centers worldwide. The findings indicate a consistent gap between the actual application and the perceived value of these activities, especially in areas involving direct interaction with industry, mentoring, and participation in seminars or interdisciplinary projects. Based on the results, the article proposes strategic measures to improve alignment between education and practice, including the creation of an online university coworking center. This digital environment would facilitate collaboration, mentoring, and innovation, ultimately enhancing students' readiness to address the complex challenges of the modern transport sector.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Shopping Trip Choice Prediction for Assessing Store Relocation: a Joint Data-Driven and Behavioural Modelling Approach]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0010</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0010</guid>
            <pubDate>Thu, 28 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper proposes and tests a methodology to analyse end consumers’ choices in terms of shopping destination for a store selling culture products, comparing a city centre location to a peripheral one. The proposed methodology begins with a stated preferences survey and incorporates a conditional tree classification algorithm to pre-select the predictors (attributes), then used to develop a discrete choice model. To validate the methodology, a real-world case study was carried out, including a survey with over one thousand customer responses. The findings reveal noteworthy insights into customer attitudes toward relocation, distinguishing frequent from non-frequent users and examining factors such as travel distance and visit frequency. These results offer valuable guidance for retailers and policy makers in shaping city logistics scenarios, highlighting the potential transformations in urban freight flows driven by changes in retail land use.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Modelling the Traffic Prediction at the Direct Level of TMS Systems]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0011</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0011</guid>
            <pubDate>Thu, 28 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The paper deals with the issue of modelling traffic prediction in operational applications of infrastructure managers to increase the quality of decision-making at the direct level of railway traffic management. First, the paper defines traffic prediction and the influences that can generate traffic conflicts. Then, it proposes an approach to modelling traffic prediction that eliminates the generated traffic conflicts and evaluates the benefits of the proposed model. The authors’ proposal is based on their knowledge of the direct-level Traffic Management System (TMS) in the Czech Republic. The aim is to propose options for traffic prediction solutions to be used primarily on the railway network of the Czech Republic, but also elsewhere. The solutions are proposed with regard to their realizability in currently used computing resources.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Unpacking the Drivers of Competitive Advantage: Enhancing Value Creation and Firm Profitability through Transportation and Strategic Innovation]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0009</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0009</guid>
            <pubDate>Tue, 08 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

In a time of digital disruption, changing consumer behavior, and shifting strategic priorities, competitive advantage is harder than ever to sustain. This research explores the drivers of value-creating sources of competitive advantage and proposes an actionable model for strengthening them to boost profitability. It also highlights the growing role of transportation systems as strategic enablers of competitive advantage, particularly in industries reliant on logistics, mobility, and infrastructure. Using a qualitative research design grounded in domain theory, the study conducts a thematic analysis of 161 highly cited Web of Science articles (2014–2024). Twelve strategic themes, including innovation, digital transformation, marketing, and sustainability, are identified as key drivers. These themes reflect current academic interest and offer long-term relevance for business strategy. The study introduces a three-step decision-making model incorporating these themes and financial metrics like ROIC and EBITDA. The model helps align competitive advantage sources with strategy and supports firms in navigating hypercompetitive and transportation-intensive environments while balancing stakeholder and shareholder value.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analyzing the Relationship between Sunset and Sunrise Times and Traffic Accident Rates]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0008</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0008</guid>
            <pubDate>Sat, 28 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Sunshine glare during sunrise and sunset may contribute to a higher occurrence of traffic accidents, highlighting the need for preventive measures to enhance road safety. This study aims to analyze the relationship between sunrise and sunset times and road accident frequency and to assess the statistical significance of this relationship. The analysis is based on data from the Czech national road accident register, covering the period from October 2022 to October 2023, with over 90,000 accidents recorded. A paired t-test was conducted to compare accident frequencies during periods of sunlight exposure, and correlation coefficients were calculated to determine the relationship between accident frequency and sunset/sunrise times. The findings reveal a statistically significant increase in traffic accidents during sunrise and sunset periods, although the correlation between these times and accident frequency is weak but statistically significant. A key limitation of the study is its exclusive focus on sunrise and sunset times, without accounting for other potentially influential variables. Based on these results, practical recommendations are proposed, including enhancements to road infrastructure and adjustments to traffic schedules during high-risk time windows to reduce accident rates.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Strategic Significance of Chinese Ports in Europe amidst EU De-Risking Policy]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0007</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0007</guid>
            <pubDate>Sat, 21 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The article conducts analysis of the significance of the European Union (EU) EU ports in the face of foreign investments and the EU response. The Chinese Belt and Road Initiative have guided Chinese investments to build infrastructure projects in participating countries, connecting Asia, Africa, and Europe. These include acquisitions of several ports within EU, which has contributed towards concerns over the economic independence and control over sensitive infrastructure. The EU has begun the implementation of various measures to safeguard strategic assets. The research utilizes primary sources in form of official reports, and national statistics. The paper argues that Chinese investments are predominantly commercial in nature and the Chinese investments might find themselves disproportionately disadvantaged against other investors predominantly. This is predominantly due to political, just as structural as significant portion of the Chinese foreign investment is spearheaded by state- or mixed-owned enterprises and investors, such as COSCO.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Internet of Things in Automotive Safety]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0006</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0006</guid>
            <pubDate>Sat, 12 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The principles and practices of Industry 4.0 are increasingly promoted across all areas of management and control. Effective control relies on having the right information and knowledge in the right place, at the right time, and in the appropriate structure. The implementation of Industry 4.0 procedures contributes to addressing information gaps, creating conditions for ensuring optimal decision-making support at all levels, from real-time control of production processes, through the level of tactical management to long-term strategic development management. The Internet of Things (IoT) represents a significant (r)evolution in data acquisition and data quality. Collected data is transmitted to information systems at relevant levels, verified, pre-processed, and presented in a suitable format for various management/control levels. The article reflects typical examples of how IoT enhances the quality of individual sub-processes (logistics), which can have a significant impact on the safety of transport processes. The primary focus is on road transport, but the study also considers its role in the field of interaction of transport within production processes. The authors conclude that automation of data collection from processes, leveraging information and communication technologies have a significant impact specifically on transport process.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Forms of Booking on-demand Transport]]></title>
            <link>https://sciendo.com/article/10.2478/logi-2025-0005</link>
            <guid>https://sciendo.com/article/10.2478/logi-2025-0005</guid>
            <pubDate>Sun, 16 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper examines the interaction between passengers and flexible transport systems, as well as the characteristics of flexible transport systems that are important to users. It presents flexible transport systems introduced in the Czech Republic since 2023 and defines their key parameters. Based on these parameters, evaluation criteria are established and weighted using the Saaty method. The criteria are then categorized according to shared characteristics and weights. The outputs of the Saaty method provide a framework for evaluating and implementing flexible transport systems. To analyse a given area, the authors recommend conducting a SWOT analysis, whose findings can be used for the considered areas of on-demand transport implementation. Subsequently, the findings of the paper can be applied. The paper addresses operations in peripheral areas and during off-peak hours. The aim is to assess the differences between the interaction of individual transport systems with users, and to propose recommendations for optimizing both existing and emerging flexible transport systems.
]]></description>
            <category>ARTICLE</category>
        </item>
    </channel>
</rss>