The 21st century challenges, in particular those of climate change, population growth, air pollution and the COVID-19 pandemic global health crisis, demand greater emphasis on infrastructure facilities capable of keeping pace with population needs in well-being, health and economic prosperity. Green infrastructure aimed to intensify ecological processes in built-up areas and deliver vital ecosystem services is of a key significance for Russia, one of the most urbanized countries in the world. The article is dedicated to the issue of providing cities sustainability through creating a basic element of the urban green infrastructure—a public green network—by incorporating and linking a variety of already existing urban environmental components, both spatial and linear, such as natural areas, squares, parks, streets, boulevards, embankments and others. The territory of the case study is Krasnodar region located in the southwestern part of the North Caucasus, the warmest region of Russia characterized by highly varied urban areas. The authors propose the multiple criteria method for evaluating the existing GreenPS and creating a GreenPS framework for six cities located in Krasnodar region both on the southern seaward part and on the northern steppe part. This approach is focused on the sustainable development of the cities, adaptation to climate change and the prevention of local risks with respect to the preservation of ecosystem functions and cultural heritage. The methodology includes three stages: investigating and evaluating the present state of the existing urban GreenPS; defining sustainability potential; and the submission of master plan proposals for the improvement and further development and management of the GreenPS network implementing nature-based solutions. In addition, it follows seven main integral criteria, namely, Accessibility, Density, Sufficiency, Continuity, Diversity, Value and Clean and Sanitary, illustrated by ray diagrams. The results of the study show good potential for construction in Krasnodar region cities of an efficient GreenPS network integrating ecological and social city components. The flexibility of the method proposed makes it replicable for any other city aimed at creating a GreenPS network in sustainable, climate-change-adapted cities.

The spread of smart city technologies dictates the need to develop new methods in the field of urban planning and design. The article devotes to the question how to find new approaches to make digital urban project according to the BIMtechnology. We analyze the opportunities of automated design technology BuildingReconstruction 2018 that allows constructing 3D models of landscapes, urban territories and infrastructure objects. Their distinctive feature is their high accuracy of details. We consider methods and tools for creating such models. There is the description of a 3d-model and composing information layers. On the base of the analysis of the model–s capabilities, we offer various directions how to use them for solving urban planning problems addressed to the examples of their existing implementation.

Modern trends in smart city development mean the priority of technological city transport infrastructures and control systems aimed to meeting the ever-increasing demand for mobility of a rapidly growing population as well as the needs to decrease traffic congestion. The world major city urban agglomerations have already accepted the intermodal techniques for transport service development which demonstrates strong potential for improving quality of transport services and reduction of spent trip time. The article presents factors with regard to the formation of "Park-and-Ride" system as part of an urban intermodal system that offer variety of transportation options and enable people to switch from a personal car to public transport. The article provides the Model of access control to the arterial road and city street network through the interception of personal vehicles. Such Model defines the main outcomes and advantages of the "Park-and-Ride" system on the territory of wide Metropolitan areas. The researches were done collecting and analysing current data of the Moscow agglomeration pursuing technical and commercial results. The aim is to improve transport imbalance in the distribution of passenger's mobility between different city transport modes with priority use of passenger transport. Implementation of the proposed model within the concept of smart city will generate an intelligent transport system, which will allow for traffic flows optimization as well as for contribution for sustainable urban development.

MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

The issue of forming a comfortable environment in cities with complex climatic conditions has always been an urgent and difficult issue for urban planners. Cities located in the territories of the Far North are characterized by extremely harsh climatic characteristics that affect the planning solutions for the public spaces of the city. Low temperatures and strong winds reduce the time of comfortable stay in the open air, which leads to a decrease in the mobility of the population in the city and stimulates the use of personal cars. The research question is the rational placement of points of interest on the street network to ensure a comfortable travel time between objects. The research methodology of public space planning taking into account the climatic comfortability of Far North cities is proposed in this article. Also, an automated GIS-based algorithm for determining intermediate points on linear objects to increase POIs’ connectivity for the development of the public space of Far North cities under the condition of organizing climatic comfort is proposed. Development of safe and comfortable public space on the basis of network accessibility, taking into account the difficult climatic conditions of these cities, will increase the social activity of the population and tourists, as well as promote economic growth and business development in the city.