To cite this article: Olga Lingaitiene (2008) A mathematical model of selecting transport facilities for multimodal freight transportation, Transport, 23:1, 10-15,
The new phenomenon called sharing or collaborative consumption emerged a decade ago and is continuously growing. It creates new possibilities for society, and especially for business, is beneficial for the environment, makes more efficient use of resources, and presents a new competitive business model. The scientific literature lacks a more in-depth analysis of the factors influencing sharing activity growth; therefore, the paper’s authors attempt to fill this gap. The authors aim to identify the factors affecting the use of sharing platforms. To reach the goal, the authors developed a regression model and constructed a list of 71 variables. The study used monthly United States data from January 2017 to June 2020 from the publicly available Federal Reserve Economic Data (FRED)and Google trends databases. The comparison to other indexes proves that the proposed index, representing the number of visits to sharing platforms (SEP), is a unique one. The first index allowed us to revise the sharing activity monthly. The authors identified that variables such as wage level, social network users, import level, and personal consumption are critical in affecting the number of visits to sharing platforms. The presented framework could be helpful for practitioners and policymakers analysing the stimulation of sharing or collaborative consumption. It includes indicators representing different areas, such as society, technology, and country, and allows for monthly investigations. Such activity was evident for a long time when online platforms contributed to its wider accessibility. The results help to forecast the number of visits monthly. Sharing is still an emerging area for research; thus, the authors tried to explore the phenomenon of sharing to expand the conceptual level of knowledge.
In this paper, the authors identified key elements important for circularity. The primary goal of circularity is to eliminate waste and prove the constant use of resources. In the paper, we classified studies according to circular approaches and stated which of them get the highest attention. Further, we identified the principal elements, grouped them into four categories important for circularity, and presented scientific works dedicated to each of the above-mentioned categories. Further on, several core elements from the first category were investigated, aiming to connect different waste streams and provide a regression model. Finally, the methodological part reviewed the correlation between various types of waste and their recycling and selected suitable ones for developing a new panel regression model. The empirical research was delivered for the 27 European Union countries during the period between 2000 and 2019. We indicate that the recycling rate of municipal waste impacts the increase of recycling biowaste the same calendar year. The increase of recycling of municipal waste by one per cent means the increase of the recycling of biowaste by 0.6 per cent.
Passenger transportation by railway is fast, safe, convenient and affordable for people, but it is usually not profitable for the state. Therefore, making passenger transportation profitable is a task of vital importance. Various calculations are used to optimize this process. The paper considers the problems of economical passenger transportation which may by described by two models: the first model is based on the assessment of income‐expenses of separate services, while the second model is related to the assessment of expenses according to their types.
The World Bank, United Nations, the Organization for Economic Cooperation and Development, and others are in line with the governments of countries that are strongly interested in the sustainable development of countries, regions, and enterprises. One of the aspects that affects the indicators and prospects of sustainable development is the efficiency of energy source use. Nationwide reductions in the greenhouse gas emissions of motor vehicles could have a direct effect on ambient temperature and reducing the effects of global warming, which can affect future environmental, societal, and economic development. Significant reductions in fuel consumption can be achieved by increasing the efficiency of use, and the performance, of current cargo vehicles. This aspect is directly related to cargo delivery systems and supply chain efficiency and effectiveness. The article solves the problem of increasing the effectiveness of cargo delivery and proposes a model that would minimize transportation costs that are directly related to fuel consumption, shortening transportation time. The model addresses the problem of a lack of models evaluating the efficiency of cargo to Lithuania that is using several different modes of transportation. For the solution to this problem, the article examines the complexity of the rational use of land and water vehicles depending on the type of cargo transported, the technical capabilities of the vehicles (loading, speed, environmental pollution, fuel consumption, etc.), and the type (cars, railways, ships). The novelty of the findings is based on the availability to select the most appropriate vehicles, on a case-by-case basis, from the available options, depending on their environmental performance and energy efficiency. This model, later in this article, is used for calculations of Lithuanian companies for selecting the most rational vehicle by identifying the most appropriate route, as well as assessing the dynamics of the economic and physical indicators. The model allows for creating dependencies between the main indicators characterizing the transport process—the cost, the time of transport, and the safety, taking into account the dynamics of economic and physical indicators, that lead to a very important issue—reducing the amount of energy required to provide products and services.
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