A Statistical Study of Technological Trends in Logistics: Patent Analysis

The aim of the study is to develop a methodology for constructing series for distribution of patents based on selected characteristics, to analyze patterns in the structure of logistics processes and structural changes in them as an information base for a statistical study of technological trends in logistics. It is determined that research on technological trends is becoming very relevant for developing a successful technological strategy in logistics, taking into account the strategic importance of identifying opportunities for and threats to technological development while achieving sustainable competitiveness in the logistic market. Given the rapid pace of development of technology, both in logistics and related fields, logistics service providers need methodological support and relevant patent data to facilitate research on technological trends to increase their competitiveness. It is determined that using the method of expert assessments, qualification and company analysis in studying technological trends in logistics under modern conditions is ineffective, while statistical study of technological trends based on patent analysis in logistics is underestimated. The necessity of a statistical study of technological trends in logistics using a 4-stage methodology for conducting patent analysis is substantiated. The proposed methodology involves the use of the Latent Dirichlet Allocation (LDA), which allows determining the logistics related technological topics behind patents. In addition, information on technological topics and their trends, obtained as a result of the proposed methodology for patent analysis, will help to better understand the technological landscape in logistics

The Methodological Foundations of Statistical Support of Management of Sustainable Urban Development

The article is aimed at developing statistical support for the creation and functioning of a new modern urban development model that integrates all aspects of sustainable development, promotes the equality, well-being and shared prosperity of all urban residents. The topical issues of urbanization tendencies of the world population, growth of the total population, as well as distribution of rural and urban population in the regions of the world and in Ukraine are considered. The theoretical principles of the «Conception of sustainable development» adopted by the UN Conference on Environment and Development in 1992 and the «Sustainable Development Goals», approved by the UN General Assembly in September 2015, are set out. The problems and basic elements of sustainable urban development are also considered. The essence and purpose of management of sustainable urban development are defined. The conceptual block-scheme of statistical support of sustainable urban development management is elaborated, which characterizes the structure and sequence of operations aimed at substantiation of managerial decisions. A description of the main directions of statistical analysis, which are the basis for building the generalizing characterizations of economic growth, social integration, and status of environment, is provided

Forming a System of Indicators Showing the State and Development of «Smart» Cities in Ukraine

The article is aimed at studying international experience and on this basis substantiating the feasibility of calculating and using an index of living conditions and urban development in Ukraine. It is determined that a number of indices are calculated at the international level, making it possible to obtain an integrated assessment of the cities in the world, namely: The Global Cities Index, developed by Kearney; Cities in Motion Index, developed by IECE; Global Financial Centers Index, developed by Z / Yen; Global Power City Index, developed by the IMF; Global Liveability Ranking, proposed by The Economist. The positions of the 10 best cities-2019 in the world are compared according to the five described indices. It has been determined that such cities as London, New York, Paris, Tokyo, and Hong Kong are often ranked among the top 10 most prosperous cities or cities with the highest living standards in the world. It is determined that to precisely elaborate and use the technique for calculating the relevant indices for Ukrainian cities it is advisable to choose the Cities in Motion Index, because, unlike other indices, it has a wide geographical coverage, analyzes the largest number of cities, including Kyiv, and takes into account the maximum number of indicators. It assesses such socio-economic aspects of urban development, as human capital, economy, ecology, social cohesion, governance, mobility and transport, urban planning, international reach and technology. A corresponding sub-index is calculated for each aspect. Using the methodological provisions of the CIMI calculation, the values of sub-indices for the city of Kharkiv have been calculated, and the integral value of the index has been obtained, thus determining Kharkiv’s position in the world rankin

The Information Support for the Development of Concept of Smart Health

The article presents results of the statistical study of information support for development of the concept of smart health. The evolution of the concept of «s-Health» is traced. The concept of «smart» health («s-Health») is considered, which represents a natural evolution of the concepts of «e-Health» and «m-Health» («mobile» health). It is determined that, from the point of view of a «smart» city, s-Health can be considered in two ways: passive and active. An indicative list illustrating the potential of s-Health is provided, including the following elements: 1. Data collection, presentation and analysis. 2. Prevention and management of critical situations. 3. Efficiency and environmental assessment. 4. Involving patients and families in the management of their health. 5. Improving political decisions. 6. Epidemic control. 7. Cost savings. It is determined that use of the concept of «s-Health» in the context of «smart cities» is important at all levels: for society as a whole it’s improving the quality of health services that contributes to formation of a healthier society, reducing morbidity and mortality. For the Government, adopting the «s-Health» model can contribute to a significant reduction in health spending. For research, that is, for the scientific sphere, the use of the «s-Health» model involves a large amount of data that can be used to develop and make managerial decisions at different levels