rss_2.0Sciendo RSS Feed for LOGI – Scientific Journal on Transport and Logisticshttps://sciendo.com/journal/LOGIhttps://www.sciendo.comhttps://sciendo-parsed.s3.eu-central-1.amazonaws.com/64723c57215d2f6c89dc12d0/cover-image.jpghttps://sciendo.com/journal/LOGI140216https://sciendo.com/article/10.2478/logi-2024-0011<abstract> <title style='display:none'>Abstract</title> <p>The sustainability of rail transport is a highly debated topic. Historically, there has always been strong political support to maintain even lightly used regional lines in operation. However, the economic situation and increasing demands for rail safety have introduced new challenges, including the fundamental question of whether to continue operating a line or discontinue it. So far, no simple solution has been applied across the board. Nevertheless, there are already some Public Service Obligations (PSOs) planning for the next 10 to 15 years, putting pressure on the infrastructure manager to implement measures that guarantee a specific system travel time on the line. If these expectations are not met, they may consider shifting transport services to alternative modes of transport in the medium term. One such region facing this challenge is the Hradec Králové Region, where a thesis was developed to analyze the regional route Doudleby nad Orlicí - Rokytnice v Orlických horách. The study focuses on the technological requirements for achieving the necessary system travel time, which is also the primary goal of this paper.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00112024-11-17T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0012<abstract> <title style='display:none'>Abstract</title> <p>The paper focuses on the design of an operational concept for the Nymburk–Jičín regional line and its simulation using OpenTrack software, both under the current infrastructure conditions and with anticipated modernization, particularly in the area of security system. It includes an analysis of the current state of the line, the development of several operational concepts, their simulation, and proposed changes necessary for effective implementation. The model setup covers individual elements on the track, stations and interstation sections, including the creation of train routes and timetables. The outcome is a proposal for multiple operational concepts and associated measures for their implementation. The final chapter of the paper deals with proposals for measures that are necessary or suitable for the successful implementation of individual concepts.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00122024-11-23T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0010<abstract> <title style='display:none'>Abstract</title> <p>The advent of marine transportation poses several challenges, particularly concerning the disposal of waste generated by ships. Incineration of waste has proven to be an effective solution, significantly reducing on-board waste and facilitating its disposal at designated facilities upon arrival at the destination port. While waste can also be incinerated at sea in accordance with relevant regulations, this practice carries significant risks that can lead to workplace accidents. Therefore, this study aimed to identify potential risk factors for workplace accidents during waste incineration activities on ships using Failure Mode and Effects Analysis (FMEA). The risk levels of occupational accident were also assessed and analyzed to minimize workplace accidents. The FMEA analysis showed that the highest risk of workplace accidents was associated with hand injuries, with a Risk Priority Number (RPN) of 211.58 or 21.1% in the activity of burning waste in the ship´s incinerator.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00102024-09-12T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0009<abstract> <title style='display:none'>Abstract</title> <p>This paper deals with the vehicle routing problem involving simultaneous loading and unloading of goods with different temperature regimes. Existing modifications of the problem as well as current software products do not focus on the transport of goods with different temperature regimes. In this paper, restrictive conditions for the joint transportation of goods with multiple temperature regimes are determined, which can be used within various types of optimization algorithms that address vehicle routing problems. Considering the proposed conditions in these algorithms will increase the utilization of the vehicle payload, and load space while complying with the established mandatory rules for the transport of foodstuffs. This will reduce the number of journeys required to carry out the transport, thus resulting in savings in operating costs.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00092024-09-07T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0008<abstract> <title style='display:none'>Abstract</title> <p>This research employed machine learning approaches to classify acceptable or non-acceptable particulate matter (PM_2.5) concentrations using a dataset that was obtained from the Nairobi expressway road corridor. The dataset contained air quality data, traffic volume, and meteorological data. The Boruta Algorithm (BA) was utilized in conjunction with the Random Forests (RF) classifier to select the most appropriate features from the dataset. The findings of the BA analysis indicated that humidity was the most influential factor in determining air quality. This was closely followed by the variables of ‘day_of_week’ and the volume of traffic bound for Nairobi. The temperature of the site was determined to have a lower significance. The comparison among different machine learning classifiers for the classification of acceptable and unacceptable PM_2.5 concentrations revealed that the Extreme Gradient Boosting (XGBoost) classifier displayed superior performance in terms of Sensitivity (0.774), Specificity (0.943), F1-Score (0.833), and AU-ROC (0.874). The Binary Logistic Regression (BLR) model demonstrated comparatively poorer performance in terms of Sensitivity (0.244), Specificity (0.614), F1-Score (0.455), and AU-ROC (0.508) when compared to other ML models. The prediction of PM_2.5 has the potential to provide valuable insights to transport policymakers in their deliberations on urban transport policy formulation.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00082024-07-17T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0007<abstract> <title style='display:none'>Abstract</title> <p>This study aims to evaluate the efficiency of all businesses operating in the Freight Transportation Arrangement (FTA) service provider companies in Vietnam in the years 2016–2022 using the Slacks-Based Measure SBM-Max (SM) and super SBM-Max (SSM) models. The analysis was conducted by calculating the ratio between outputs and inputs in the FTA providers’ operational processes. The projection of the SSM model (Pro) and the Rh indicator were used to propose solutions for the inefficient providers by reducing the excessive inputs and increasing the outputs. The empirical results determined the inefficiency term, efficiency term, and rank for each provider every time. Dinh Vu port was identified as the best FTA provider in Vietnam, ranking first or second throughout the term due to its considerable efforts to perform efficiently. It shall be noted that the use of these models can help FTA providers in Vietnam to identify their strengths and weaknesses in terms of operational efficiency. By implementing the proposed solutions, businesses can improve their performance and ultimately increase their competitive advantage in the market. Further research could explore the effectiveness of these models in other industries or countries to provide deeper insights into their potential applications.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00072024-07-17T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0006<abstract> <title style='display:none'>Abstract</title> <p>This article’s main subjects are the theoretical underpinnings of a steam locomotive’s conceptual layout, engineering design, and calculations, which will be necessary when making a working model of the locomotive. A steam locomotive is a locomotive that uses steam as its power source and steam engines as its engine. The design of the main components of a steam locomotive, including the steam boiler, the steam engine, and the locomotive underframe, has been discussed in this article. To better understand these issues, the article also includes the design of a steam locomotive model created using the CATIA V5 program and the calculation of main components. Calculations of the main parameters of a connecting rod are performed. There are calculated forces efficiency, pressure and power. These parameters are very important for the proper design of the miniature locomotive model. Additionally, the steam boiler is analyzed by means of the finite element method. The analysis has shown that the boiler structure is able to withstand the steam pressure during the locomotive operation.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00062024-05-14T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0005<abstract> <title style='display:none'>Abstract</title> <p>Although optimization of Vessel Turnaround Time (VTT) is a well-known research problem and its importance has long been understood, research on dry bulk carriers VTT has no priority in the available literature. It is one of the initial motives of the author to write this paper. After a general theoretical introduction, this paper presents research on dry bulk carriers’ loading time, as a component with the dominant share in the total VTT. Through the research, a mathematical model of interdependencies between dry bulk carrier‘s loading time and selected independent variables is defined using a multiple linear regression model. Results of statistical significance tests confirmed that the best-fit regression model is the one which adequately describes the correlation between the dry bulk carrier‘s loading time and the following independent variables: cargo quantity (loaded), number of used cranes per vessel and loading process interruptions. The presented results establish important bases for the author’s further research in this field as well as reliable planning bases for cargo handling management processes at dry bulk cargo terminals where cargo loading/unloading to/from vessels is realized by gantry cranes and/or mobile harbour cranes.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00052024-04-29T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0004<abstract> <title style='display:none'>Abstract</title> <p>The objective of the paper is to determine the relationship between a vehicle price and its safety ratings in the Czech Republic for vehicles sold and newly registered in the year 2022. The data collection was performed using content analysis. It was found that in 2022, Škoda Auto vehicles accounted for more than 35 % of all newly registered vehicles in the Czech Republic. The evaluation of vehicle safety was performed on the basis of results published on the EuroNCAP server. The findings were used as a basis for performing cluster analysis and correlation analysis of the data obtained. The analysis shows that even though safety plays an important role in the automotive industry, vehicle price is not a decisive factor in achieving higher safety ratings. The findings of this paper have a significant impact on consumers and automotive, showing that the price difference between vehicles does not necessarily correlate with different levels of safety. The limitation of this paper is its focus on the Czech Republic only, which may influence the generalization of the results to other markets.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00042024-03-28T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0003<abstract> <title style='display:none'>Abstract</title> <p>Construction of elevated metro line leads to a reduction in the average speed of vehicles due to congestions, diversions, and road incidents. This reduction in speed depends on recurring (e.g., congestion in rush hours) and non-recurring (e.g., road accidents) delay factors. Non-recurring factors involve incidents such as accidental bus stops, pedestrian crossings, or clearing debris from road, etc., some of which may occur at very short notice. This research paper presents a case study of Pune Metro Rail Construction (Corridor II) in India for developing an empirical equation to estimate corridor speed of vehicles in metro construction work zone. Observations were recorded in spatial and temporal zones using floating car method through video recordings and traffic count using manual method. Based on the traffic behavior pattern, five non-recurring delay factors (NRDFs) were defined, namely vehicles in lateral entry, slow moving vehicles, vehicles in the wrong direction, on-street parked vehicles, pedestrian interference and their correlation with speed of vehicles was tested. It was concluded that these factors have a strong negative correlation with the speed of the test vehicle. To estimate corridor speed with given NRDFs, nonlinear equation was formulated using empirical evidence and validated using larger simulated data.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00032024-03-02T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0002<abstract> <title style='display:none'>Abstract</title> <p>This article focuses on the evaluation of the importance of passenger rail transport for transport services in peripheral areas. The term peripheral area is defined, and the different types of peripheral areas and their characteristics are listed. Based on the analysis of these areas in the Czech Republic, the authors generally divide passenger rail transport services in peripheral areas into three categories according to the route of the railway line within the peripheral areas and towards the centre. The authors set out the most important criteria to assess the importance of individual line categories for transport services in peripheral areas. Based on the SWOT analysis and using the TOWS matrix, specific strategies and proposals are presented to address passenger rail services in the peripheral area. The aim of this article is to evaluate the importance of rail transport in peripheral areas using the criteria selected by the authors.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00022024-02-15T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2024-0001<abstract> <title style='display:none'>Abstract</title> <p>Transit-oriented development (TOD) is a method employed in area-based developments to address civic mobility, automation, inequality, community, equality, and climate change in metropolises. This research paper utilizes a comparative analysis of various published papers to create a cohesive analytical study. The main goal is to identify critical parameters that contribute to the success of TOD. It examines highly successful global examples of TOD, including Hong Kong, Singapore, London, Shenzhen, México, and Washington D.C., to understand how the aforementioned parameters impact TOD development and its achievements. Indian cities are making substantial investments in public transportation and transitioning into transit hubs. The success of this progress depends on implementing TOD regulations, such as zoning rules for mixed-land use, density control, limited parking, PPP finance, and fostering collaboration between public and private agencies near transit stations. In conclusion, while planning frameworks have been widely adopted and implemented by various countries, financial frameworks play a more pivotal role in influencing success, making TOD more practically viable worldwide.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2024-00012024-01-05T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0030<abstract> <title style='display:none'>Abstract</title> <p>Gender equality is a topical issue that also concerns the transport sector. Gender-neutral transport systems may not be equally suitable for each gender and thus fail to meet their mobility requirements. Therefore, there is a need to study the transport behaviour of men and women and use the findings to further develop transport systems. This article focuses on gender differences in transport behaviour patterns. To obtain the necessary data, a survey was conducted through a structured personal questionnaire. The results were then processed using selected statistical methods. The results of the survey show that the differences are mainly in the means of transport used or the purposes of the trips. On the other hand, as for the criteria that influence the selection of a mode of travel, time is equally important for both women and men, followed by the purpose of the journey and the availability of transport. The survey thus confirmed that there are significant differences in the transport behaviour of men and women.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00302023-12-25T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0029<abstract> <title style='display:none'>Abstract</title> <p>Passenger transport, or efforts to modify it in order to minimize its negative environmental impact, is a discussed issue. This paper aims to assess the trends in passenger transport indicators in the V4 countries between1995 and 2018. Within the time series of indicators, the transport indicators of individual car transport is analyzed and compared with the public mass transport broken down into rail, bus, tram, and underground transport. The results show a clear upward trend in individual car transport performance, while rail passenger transport performance shows a convex quadratic trend in all V4 countries except Hungary. In contrast, bus transport tends to show a downward trend. CO₂ emissions and traffic accidents tend to decrease in the majority of the V4 countries, despite the increasing performance of individual car transport, which is a very positive finding that corresponds with the commitments of all V4 countries, or with social responsibility.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00292023-11-30T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0028<abstract> <title style='display:none'>Abstract</title> <p>The quality of customer service determines the survival and development of logistics enterprises. In the highly competitive e-commerce field, it is necessary to continuously improve the customer service management level of logistics enterprises, and the application of big data can optimize customer service management of logistics enterprises in e-commerce. This paper analyzes the reasons for the low customer service satisfaction with domestic logistics enterprises in China, and then puts forward how to optimize customer service management of logistics enterprises in ecommerce based on big data in order to effectively promote the service quality of logistics enterprises. This study is contributing to the body of knowledge by developing a comprehensive framework to solve various e-logistics problems. Hence, the current study is helpful for e-logistics companies to mitigate e-logistic customer satisfaction problems.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00282023-11-17T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0027<abstract> <title style='display:none'>Abstract</title> <p>Every undertaking providing transport services in passenger rail transport must currently prepare for the liberalization of transport services operating under a public service obligation. Competition in the mentioned segment is expected to intensify. Rolling stock represents a significant cost item for railway operators. The management of the life cycle of railway rolling stock is a way to efficiently manage vehicles. Adequately chosen parameters that are monitored and evaluated during the life cycle of railway rolling stock are crucial to successful management. Logistics plays an important role in the railway vehicle life cycle management, which, when properly set up, represents a significant competitive advantage. All railway undertakings are facing challenging times due to the consequences of the COVID-19 pandemic and the energy crisis. Proper and effective railway rolling stock life cycle management will help them overcome current and future challenges.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00272023-11-07T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0026<abstract> <title style='display:none'>Abstract</title> <p>On-demand food delivery services have transformed the food industry, offering customers a convenient way to order their favorite food from restaurants and have it delivered to their doorstep. However, the increased number of delivery vehicles has led to higher costs, traffic congestion, and carbon emissions. To tackle these negative impacts, consolidating the delivery process by combining multiple orders from different restaurants to various customers has been suggested. This study evaluates the sustainability impact of direct versus consolidated orders in the on-demand food delivery sector. To achieve the objective, we used an agent-based simulation model based on real delivery data from Yogyakarta, Indonesia. Our simulation results indicate that due to constraints in time windows and routing complexity, only a small portion of all orders can be consolidated. But where consolidation is feasible, it can benefit businesses and the environment by reducing costs for customers, increasing drivers’ productivity, and reducing carbon emissions. The downside is that it may result in a longer customer waiting time. These findings provide valuable insights for businesses and policymakers seeking to promote sustainable practices in the on-demand food delivery sector.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00262023-11-06T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0025<abstract> <title style='display:none'>Abstract</title> <p>A focus on changing practices towards greater use of environmentally friendly practices in all activities related to the maintenance of the assets and buildings entrusted to the Road Administration and Maintenance logically entails increased financial requirements. As this is a relatively complex issue, road management must be understood in a holistic way, including risk assessment. The dynamics of the sector entails a considerable number of critical factors that have a direct or indirect impact on the achievement of the basic goals of infrastructure management and maintenance organization in the context of ensuring road management and mobility while respecting the basic concept of sustainability. The objective of this article is to define the critical factors of sustainable development in road management, especially in terms of ad hoc maintenance.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00252023-10-28T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0024<abstract> <title style='display:none'>Abstract</title> <p>Nowadays, logistics is used to assess economic growth and address energy consumption and environmental problems. Optimizing collection and delivery routes reduces fuel consumption and cost, thereby minimizing greenhouse gas (GHG) emissions. The vehicle routing problem with time windows (VRPTW) is addressed to identify routes that minimize total transportation costs, fuel consumption, and GHG emissions based on collection and delivery activities. Firefly Algorithm (FA) integrated with Tabu Search (TS) as (FATS) was proposed within the case study concerning canned fruit transport. The results showed that the proposed method outperformed the existing approaches and reduced the fuel consumption from 31,286 to 26,314 litres per year. The proposed algorithm also reduced the number of used vehicles from seven to six, as five 6-wheel trucks and one 4-wheel truck, with transportation cost reduced from 1,061,851 to 893,108 Baht per year, as well as greenhouse gas emissions, which were reduced from 90,730 to 76,312 <italic>kg CO</italic>₂ per year.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00242023-10-13T00:00:00.000+00:00https://sciendo.com/article/10.2478/logi-2023-0023<abstract> <title style='display:none'>Abstract</title> <p>This article deals with the assessment of the technical efficiency of the automotive industry in European countries. Unlike other studies, the paper will focus on international comparisons of efficiency while taking account company size. The analysis is thus based on the accounting data of individual companies. The content of the analysis covers the period between 2015 and 2019. In total, companies from 20 European countries shall be analysed. The results show that the level of efficiency in this sector is related to the size of the enterprise. In general, small enterprises turn out to be the least efficient. However, there is also a difference in the level of efficiency in the different size groups of enterprises depending on their geographical location, where in general, irrespective of the size category, Ukrainian enterprises appear to perform worst.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/logi-2023-00232023-10-06T00:00:00.000+00:00en-us-1