Skip to Main Content (Press Enter)

Logo IUAV
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Projects
  • Contracts
  • Expertise & Skills

Logo IUAV

|

UNIFIND

iuav.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Projects
  • Contracts
  • Expertise & Skills
  1. Outputs

Construction Cost Estimate and Building Information Modeling in Renovation Projects Early Design Stages

Chapter
Publication Date:
2026
abstract:
The evaluation and control of building costs accompany real estate projects from the initial planning phase to the end of the construction stage. Each phase of project development is associated with distinct estimation methodologies, characterized by an increasing level of accuracy as the design progresses. Estimating construction costs during the early design stages is one of the most critical challenges in real estate and infrastructure investment planning. At these stages, detailed cost estimates based on bills of quantities are always unfeasible, as project information is typically limited to concise descriptions of functions and dimensions. Consequently, assessments rely on parametric methods, which involve identifying one or more reference buildings with similar characteristics to the planned one, using historical data on its costs as a basis for estimation. The cost of the reference buildings can be sourced from market monitors or specialized publications, such as building cost inventories. These inventories, in addition to providing construction costs divided by groups of work items, typically include key dimensional data, works brief description, and project excerpts. This study presents the results of BIM modeling for one of the buildings included in an inventory widely used in Italy, aiming to explore the potential of this technology to enhance cost estimate accuracy in the early design stages. The accuracy of parametric estimates based on data from the inventory and those derived from the BIM model is validated by comparison with a case study, for which the construction cost has been assessed through a bill of quantities.
Iris type:
2.1 Contributo in Volume(Capitolo,Saggio)
Keywords:
Building Information Modeling, Parametric construction cost estimate, Real estate investment planning
List of contributors:
Bonifaci, Pietro; Copiello, Sergio; Panarotto, Federico
Authors of the University:
BONIFACI PIETRO
COPIELLO SERGIO
Handle:
https://air.iuav.it/handle/11578/364049
Book title:
Computational Science and Its Applications – ICCSA 2025 Workshops : Istanbul, Turkey, June 30 – July 3, 2025, Proceedings, Part XI
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Overview

Overview

URL

https://iccsa.org/
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.6.1.0