The growth of city population appeared to be so intensive that the environment of many cities of the world fails to satisfy many biological and social human needs. That is why the idea of transfer to “green economics”, where material welfare is provided not by increase of ecological risks, becomes highly demanded, because there is no other way to provide ecological sustainability of urbanized territories. One of the most sufficient factors having impact on the state of the environment is increase of automobilization. Nowadays, automobile transport is the largest source of pollution of the environment in the urbanized territories. This article is dedicated to assessment of the influence of the noise level of the road transport on the state of the environment. It is admitted that the noise from road traffic flows constitutes the largest danger to human health, as road transport is the source of noise located directly near the places of human residence. Assessment of the noise pollution level was carried out through on-site investigations of a big city. According to the result of the measurements, the sound level exceeds the maximum acceptable level at any measured traffic flow intensity and at any distance from the road. To determine analytical form of dependence of the sound level from the intensity of traffic and the distance to the road (source of noise) a regression analysis was performed. As a result, the regression functions were found. Calculations were performed based on the obtained functions. They showed that the sound level within the interval from 0 to 41 meters from the road exceeds the maximum acceptable level and that location in this interval can have negative impact on human health. This article analyzes the main measures of combating noise pollution from road traffic flows.

Smart Mobility is one of the main directions of transportation systems development in Smart Cities. In this case along with intellectualization of management the issue of transition to “green”, safe and sustainable modes of transport, such as bicycle, should be solved. Democracy and availability, cheapness and environmental friendliness, promotion of healthy lifestyle are the reasons for the growing popularity of this mode of transport all over the world. This paper proposes one of the possible ways of bicycle transport development in smart city, that allows expanding the number of users by reducing physical requirements for cyclist. The proposed development represents a concept of the Smart Bike that monitors condition of the cyclist and environment and turns on electric motor in critical situations. This reduces physical load of cyclist, as well as the battery consumption, that positively affects the ecology of Smart Cities.

The unprecedented melting of Arctic ice provides new opportunities for shipping by decreasing the distance for commercial traffic between Asia and Europe by up to 40%. However, its development is associated with inevitable problems caused by the vulnerability of polar ecosystems. As research methods, we have chosen system and comparative analyses of open sources; national development strategies of the Russian Federation (primarily), China, Northern Europe, and the USA (partially); and scientific articles from the Scopus and Elibrary databases. As a result, we have identified the reasons for possible risk situations for the Arctic region’s sustainable development: mining on the shelf, oil and oil product spills during the transportation of goods and fishing activities, etc. Black carbon (soot) emitted from using marine diesel fuel is the main atmospheric air pollutant. In addition, actively developing infrastructure (ports and new industrial zones) also has a negative anthropogenic impact on the environment. Within the framework of an ecosystem approach, we studied ways to prevent risky situations when planning logistics routes using the Northern Sea Route. We concluded about the need to expand the icebreaker fleet. We proposed a conceptual model of the risk management system based on the monitoring of the key indicators’ system. We identified possible types of risks according to the place of their occurrence and according to the stages of the life cycle of such systems. Furthermore, we provided the steps of the risk management system and an example of the application of a “bow-tie” diagram—a qualitative method for assessing the risk of “collision”.

World trends in the field of intellectualization and digitalization of all activity spheres, caused by the rapid growth of engineering and technology, have caused serious changes in the transport sector. Road transport has a negative impact on the environment, to a large extent this relates to city’s air pollution in urbanization conditions and the vehicle fleet accelerated growth. Reducing the negative vehicles impact on the environment is possible only through the development of integrated solutions for managing the transport system. Goal of this article is to study the applicability of decision support systems and simulation models to predict the possibility of reducing the negative vehicles impact on the environment. The developed simulation models for road network problem areas of the Naberezhnye Chelny city allow us to study the influence of traffic parameters on the volume of harmful substances in vehicles exhaust gases, as well as noise pollution. Using the model, it is also possible to assess the possible reduction in the degree of air pollution when converting engines public transport to natural gas fuel. Model experiments showed the adequacy of the proposed approach.