Improvement of pricing in the construction industry: Integrating information modeling technologies and transitioning regions to the resource index method

Abstract

Ensuring accurate cost estimation for project implementation, while accounting for regional specifics, is a crucial task for pricing practices in the construction industry. To address this challenge, the transition from the base index method with cost item indexation to the resource index method for estimating project costs is planned in the 1st quarter of 2023. Additionally, starting from 2024, the mandatory use of information modeling technologies for project design will be implemented. This article examines the rationale behind implementing modifications in the pricing system, outlines the algorithm for estimating costs using the resource index method, identifies the advantages and challenges associate with this new approach, and highlights the prospects of integrating information modeling technologies. The study employs comparative and statistical analysis, as well as methods of synthesis and systematization of information. The analysis of data from the Federal State Information System of Pricing in Construction (TsS FSIS) focuses on regions that have already transitioned to the resource index method. On the basis of the research findings, the article reveals the issues related to the adoption of alternative cost estimation methods in a region. It also proposes approaches for enhancing the pricing system to effectively apply the resource index method for cost estimation in construction projects, while incorporating the use of information modeling technologies (IMT).