Application of Specific Mathematical Methods in the Context of Revitalization of Defunct Intermodal Transport Terminal: A Case Study

The Impact of COVID-19 on Highway Traffic and Management: The Case Study of an Operator Perspective

The COVID-19 pandemic created an enormous disruption to the everyday life of the modern society. Among the various urban systems, transportation services were among those that suffered the most significant impacts, particularly severe in the case of highways. This paper addresses the challenges and responses to the pandemic from a private highway operator’s perspective and from a multidisciplinary perspective. Highway operators faced two main challenges: on one hand, the need to cope with the potential disruption caused by the pandemic and a national lockdown for almost three months, the provision of road services, and the requirement to ensure the proper operation and maintenance, and on the other hand, the strong negative impact of the pandemic on levels of traffic. Our case study shows that the operator’s management response in question is essentially characterised by being a first response to short term impacts while balancing for workers health and safety, engineering and management, internal business management, and overall economic impact. Highway operators were hardly prepared for such an event and became more focused on prioritising their employees and clients’ safety to avoid service disruption. Regarding levels of traffic, the pandemic has had severe effects, although to a varying degree, depending on the different types of vehicles (heavy, light, passenger, freight, among other types of vehicles) and the location of highways (coastal vs. interior). The lessons learnt can be valuable in future disruptive events and for other highway concession operators.

City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals

In large urban agglomerations, various logistical problems arise due to high population density and deficient transport infrastructure. City logistics involves the efficient distribution of freight transport in urban areas and approaches to mitigate environmental impacts and traffic congestion. This paper aims to use a two-step cluster analytic approach to segmentation of EU27 capital cities based on their city logistics performance. To obtain primary outcomes, the log-likelihood measure in SPSS Statistics was used. The results can be used to identify the development and implementation of logistics measures in capitals across the EU. In addition to clustering, the statistical analysis evaluates the position of investigated cities concerning traffic congestions, and from an environmental point of view, the carbon dioxide produced from transport. The scrutiny delivers practical outlooks on how clustering can be undertaken and proves how the clusters can be used to plan city logistics and supply chain management. Finally, the paper deals with smart city indices from the perspective of sustainable mobility and examines its correlation with city logistics.

Sustainability of Railway Undertaking Services with Lean Philosophy in Risk Management—Case Study

The sustainability of services in undertakings which operate in railway passenger transport is closely connected with efforts to provide high-quality and time-acceptable services to the customer, to achieve lean processes, to standardise work processes, to eliminate wastage and to avoid those activities which do not add any value. Considering its ecological nature and big volume of passenger transport, railway passenger transport represents an irreplaceable sustainable system for the future. These facts and the entry of new railway carriers into this system highlight the importance of managing risks in a progressive way. This article focuses on the options of risk management when versatile and flexible tools, such as Lean tools, are set correctly. The aim of this article is to introduce a proposal for the application and a specific application of Lean philosophy in risk management which impacts train delays in railway passenger transport. From the point of view of quantitative data analysis, multiple mathematical-statistical tests have been used to assess data (e.g., Anderson–Darling test, Kolmogorov–Smirnov test, Jarque–Bera test, two-tailed test, Grubbs’s test and Thompson Tau test). Also, descriptive statistics and ANOVA test (Analysis of Variance) have been applied in the process of evaluating the monitored attributes. In order to assess the data dependency, Chi-Square Test and a correlation analysis have been applied. The research outcomes focus on highlighting the need for a systematic approach for train delays and to avoid delays through risk management. The case study applies selected Lean methods to monitor train delays in selected stations within the main railway corridor of the Slovak Republic for the period from 2015 to 2018. In 2019, the results were processed and created a basis for proposing a unique software tool like an aid for risk management in the case of train delays using Lean philosophy. The flexible software includes the participation of employees, and at the same time, it respects the needs of customers. The research results provide grounds for further study of risks in a challenging environment of railway undertakings, with different types of trains, railway stations as well as entire railway networks. The processed results of the article represent valuable material for railway undertakings not only in Slovakia but also for railway organisations in V4 countries.