Purpose: The purpose of the paper is to assess the roots of stockpiling behaviors and to give a quantitative assessment of shopping frequency changes for emergency supplies during the coronavirus disease 2019 (COVID-19) pandemic. In addition, the authors aim to determine the sources that influenced emergency supply purchases during the COVID-19 outbreak.Design/methodology/approach: The study used a polling or survey process implementation to collect the data on shopping patterns and to determine the drivers of stockpiling behaviors for the assessment. The polling was conducted using a snowball technique, and descriptive and regression analyses were used to define the roots of the stockpiling behaviors and the shopping frequency changes.Findings: It was determined that 88.0% of end-consumers increased their shopping volumes for emergency supplies. An almost twofold increase in the average duration of usage for stockpiled goods (from 11 to 21 days) was also determined. Also revealed was a reduction in shopping frequency from an average of seven (pre-COVID-19 period) to five (first wave of COVID-19 pandemic) days. Such disproportional increases in purchase volumes along with a slight reduction in shopping frequency indicate the strong stockpile patterns that occurred during the pandemic.Originality/value: The research is based on data from Ukraine, where the number of COVID-19 cases was low. Despite the comparatively low spread of COVID-19 in large cities in Ukraine in relation to other cities globally, people still revealed panic and stockpiling behaviors. The study's quantitative assessment of shopping behaviors reveals the social and economic determinants of the shopping frequency.

In the current conditions of sharp change in demand and instability of markets, there is a need to develop a method and evaluation criterion that would meet the sustainable scenario of a supplying goods system including the consumer-driven concept. The analysis of goods distribution methods showed that to assess the integrated efficiency between the supply system and its end-consumers, it is advisable to apply integrated criterion efficiency—generalized distribution utility. The developed indicator takes into account the profit of the distribution channel (or its participants) and the generalized costs of end users during shopping activity. Based on the proposed indicator, the feasibility of using vehicle capacity is substantiated, which provides the maximum generalized distribution costs value and corresponds to the optimal sustainable distribution in consumer-driven logistics.

Every day, the global logistics industry faces new challenges – both due to the Russian invasion of Ukraine and due to economic instability in global markets. The pandemic and the disruption of traditional supply chains are forcing companies to change their production geography. Accelerated digitization of people's and companies' livelihoods is contributing to the transformation of classical logistics, and in the end, those players who create an environment of additional services for delivery support, thereby forming resilience to risks, are winning. In this regard, there is a need to develop theoretical and applied aspects of the transition of port logistics to sustainable development through the introduction of smart port technologies that contribute to the achievement of a number of sustainable development goals, such as: 1: no poverty, 2: zero hunger, 3: good health and well-being, 8: decent work and economic growth, 9: industry innovation and infrastructure, 11: sustainable cities and communities, 12: responsible consumption and production, 13: climate action, 14: life below water, 17: partnerships for sustainable development. The theoretical basis of the research was scientific works of scholars from different countries and periods in the field of logistics, sustainable development, individual provisions of international framework documents, including the UN Conference on Environment and Development's Agenda for the 21st Century, the Declaration on Environmental Protection, and the Johannesburg Declaration on Sustainable Development. Official data from the ports of Gdansk, Rotterdam, and Hamburg, the International Association of Ports and Harbors (IAPH), the World Ports Climate Initiative (WPCI), the World Bank, and the Administration of Seaports of Ukraine (USPA) were used as initial information for analysis and concluding. As a result of summarizing the theoretical and methodological foundations of logistics, the article proposes the Conceptual Model of the Subject Area 'Smart Port', the quintessence of which lies in the symbiosis of the paradigms of scientific and technical development and sustainable development. This made it possible to expand the existing scientific basis of the transport logistics and transport systems sphere. The prerequisites for the emergence of the smart port are analyzed. The leading container ports of different generations are grouped. Special focus is on Ukraine, one of the largest grain exporters in the World. The prospects for the transition of Ukrainian ports to the fourth category (generation) of development are outlined. To successfully implement the strategy for the development of Ukrainian seaports for the period up to 2038, an optimization management model for logistics processes was developed based on the concept of a gaming approach.

In recent decades, the concept of sustainable development has become increasingly widespread since the United Nations Convention on Climate Change was adopted. However, it is also being overused, imitated, politicized, or even ignored. This study analyzes the current conditions and long-term consequences of the European energy transition and discusses the limitations and true economic and environmental implications of implementing energy sustainability. The paper is aimed at forming an understanding of the current environmental conditions and challenges associated with the economic, financial, and environmental consequences of introducing renewables in Europe. Research has revealed that renewables, while cleaner energy sources are not necessarily sustainable as initially suspected. There are various implications and limitations, that is: an initial carbon footprint, land footprint, recycling issues, harmful impacts on wildlife and humans, moreover the efficiency and economic implications when transitioning to a net zero. As a result, it is concluded that the basic principles of the energy transition are to be introduced and considered for it to become indeed sustainable. It is also concluded that when introducing or improving an energy model, it is crucial to consider the country's initial energy and resource base. Nuclear energy should not be disregarded and should considered to be a clean energy source, as well as a safe one, particularly in the context of national security, which is heavily dependent on energy transition.

The article presents an analysis of the development of route networks of municipal passenger electric transport in five large cities of Ukraine – Donetsk, Zaporizhia, Odesa, Lviv, and Kryvyi Rih. A comparative analysis of the topological characteristics of the networks and their impact on passenger traffic is based on the graph theory and the theory of complex networks. The surveyed route networks presented in the spaces of stops, connections and routes were processed with calculations of the average degrees of vertices, the value of the average shortest path, as well as the clustering and assortativity coefficients. Passenger traffic was determined on the basis of statistical data on the annual number of shuttle trips per one city resident. The research findings show that the electric transport networks in major cities of Ukraine occupy an intermediate position between regular and random graphs and contain features of the “tight world.” The method of correlation and regression analysis has revealed that passenger traffic on average increases linearly in route networks with higher values of the average shortest path and the assortativity coefficient in the space of connections, and linearly decreases in route networks with higher values of the average vertex degree and clustering coefficient in the space of routes. The study presents a substantive interpretation of the results that can be used to substantiate route networks’ development and assess the variation in passenger traffic.