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Resource indicator-oriented building information modeling for the management of infrastructure

Author(s):


Medium: journal article
Language(s): English
Published in: IOP Conference Series: Earth and Environmental Science, , n. 6, v. 1101
Page(s): 062034
DOI: 10.1088/1755-1315/1101/6/062034
Abstract:

This paper contributes to increasing resource efficiency by providing a method for calculating the environmental impact in the context of the infrastructure sector. For this purpose, the LCA method is linked to a parametric BIM model for road construction. Municipal existing road structures and characteristics were considered for the development of the approach. The research topic is motivated by the sector of infrastructure construction and especially road construction, which is enormously resource-intensive. Therefore, resource efficiency indicators such as raw material consumption, energy consumption and climate warming must be adequately implemented in the information model for the entire life cycle of a road construction project. The aim of this work was to combine the two areas of resource efficiency calculation and parametric BIM modeling and to generate added value from this combination. In this way, relevant indicators can be extracted that can also be used to define the information needs in terms of resource efficiency and further developed as recommendations for municipal operators. The extension of the methodology to other infrastructure areas has been identified as a further starting point. In the future, it must be ensured that resource flows are recorded holistically to increase resource efficiency.

License:

This creative work has been published under the Creative Commons Attribution 3.0 Unported (CC-BY 3.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10780491
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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