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Improving the transport system as the basis for economic growth in the regions: agent based models application
The development of transport infrastructure is an important factor in the economic growth of the territory. The ability to predict the transport demand and traffic on the road network is vital for development of regional and urban transport system. Agent based modelling has emerged as a practice tool of traffic and transport planning in region and urban area. The purpose of the research is to assess the possibility of using agent based models for transport planning in Russian regions and cities.
In order to reach the set, it was studied the theoretical basis of the scientific method. The main trends in the development of the transport system in the cities and regions of Russia were assessed. It was made an assessment of the impact of the road transport infrastructure development on the economic growth of Russian regions. It is shown that when analyzing Russian regions, it is necessary to take into account the level of development of not only the automotive infrastructure, but also other types of transport. The role of transport infrastructure for economic growth was shown. The characteristics of different types of agent based models used to solve problems of the regional and urban transport system were given and it was done the corresponding conclusions.
The results of our research will allow revealing the basic tendencies of development of transport system as a basis of economic growth in regions, to determine the possibility of using agent based models in solving such problems. In conclusion, we offer some practical recommendations for improving regional transport system and provide economic policies to ensure economic growth.