Abstract
The purpose of the article is to create a basic model of conducting an analytical assessment of infrastructure development efficiency. The basic model allows assessing the level of current infrastructure condition which provides production and social dimension of its stable development. The article substantiates the necessity of conducting an analytical assessment of infrastructure development level which identifies its weaknesses and determines the potential of improving its performance indicators. Integral estimation of road infrastructure efficiency is proposed. To assess the problems of infrastructure development provision the comparative analyses within the proposed model are made as well as with the Data envelopment analysis (DEA) method. The results of the research allow discovering the causes of harmful phenomena in the system of management and development, identifying major trends and prospects of development.
Highlights
It should be noted that data from 24 regions of Ukraine were used for comparative analyses of road infrastructure indicators
The analytical assessment of the researched objects of the road infrastructure in 24 regions of Ukraine by the method of Data envelopment analysis illustrates the level of distribution of the sustainable development centers
The proposed basic model has transport, utilities infrastructure, electricity and water allowed allows assessing the level of current supply, information infrastructure
Summary
The paper Marzieh Reisi et al highlights the role of goal is to conduct the comparative analyses of road spatial data infrastructures in decision support systems infrastructure objects by the method of integral for uncertainty analysis and promoting smart cities and assessment using of which will establish the basic model resilient environments [3]. The vulnerability analysis of infrastructure exposed to for the best possible estimate of the comparable points natural hazards has become a key area of research due to [9]. Let’s apply the method of integral assessment that factor, a characteristic feature of which is a different level allows a more accurate assessment of the best one among of well-being, with the country's remoteness from the compared objects on the example of road assessment criteria, standards, and world average values, infrastructure. It should be noted that data from 24 regions of Ukraine were used for comparative analyses of road infrastructure indicators (table 2)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
