Volume XLII-2/W11
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W11, 595-600, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W11-595-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W11, 595-600, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W11-595-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 May 2019

04 May 2019

BUILT ENVIRONMENT: MODELLING THE URBAN SPACE

F. Guzzetti, K. L. N. Anyabolu, L. D’Ambrosio, and G. Marchetti F. Guzzetti et al.
  • Politecnico di Milano, Dept. of Architecture, Built Environment and Construction Engeneering, via Ponzio 31 20133, Milano, Italy

Keywords: BIM model, urban space, built, underground facilities, H-BIM, scan-to-BIM

Abstract. In urban areas, the “built” is defined by many different elements. Not only buildings but also open spaces containing green areas, viability, urban furniture, underground facilities. While the H-BIM sector focuses, rightly, on buildings of great historical significance, in our case it is been consider a part of the built that it usually not analyse: the urban open space. One of the interesting themes is the possibility of having a single tool that integrates the different objects present in a complex environment such as the urban area. The process with BIM model could allow a huge saving in terms of time and costs considering public tender, maintenance or construction phase of a project. Facility management operating through BIM is another relevant theme considering the whole life of a construction. Finally, another important theme is the connections between elements above the ground (visible elements) and subsoil (not visible elements), not only for the administrations but also if related to the HBIM environment.

The paper reports the analysis of the experience performed, particularly related to questions about detail and accuracy of the BIM model.

A methodology for modelling open spaces is been assuming, it is described possible improvements and considerations on the result.