The increased interest in implementation of the sustainable development agenda requires an objective assessment of the success of progress towards the set sustainable development goals and objectives.The objective of the study described in the article is to consider the availability of transport indicators for SDG 9.1 («Develop high-quality, reliable, sustainable and resilient infrastructure, including regional and cross-border infrastructure, in order to support economic development and human wellbeing, with particular attention to ensuring affordable and equitable access for all») on the example of G20 countries, as well as to assess the completeness of the data provided by the countries. The information and empirical base of the study is based on data from the United Nations Economic Commission for Europe and Federal State Statistics Service of the Russian Federation. The study used general scientific methods of analysis, synthesis, and classification.The result of data processing is an assessment of data availability and calculation of the data completeness index for G20 countries. The authors proposed additions to the monitored indicators in terms of the volume of passenger and cargo transportation by modes of transport, and also substantiated the need to introduce a new indicator «volume of investment in infrastructure by mode of transport».
Transport infrastructure projects are costly and depend on a number of factors. The lack of common definitions and methodology for measuring transport infrastructure costs prevents cross-country comparisons. The article presents a review of academic works on the analysis of transport infrastructure projects, analyzes the methodological documents of ex-post evaluation in the UK and Australia, and proposes an approach to ex-post evaluation in Russia. This approach suggests performing the ex-post evaluation in one year, five years, 15 years after the operation start, and at the year operation termination. Conducting expost evaluation will make it possible to compile a knowledge base of Russian transport infrastructure projects, conduct research on actual data, increase the accuracy of calculations in the forecast effect models.
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