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Unveiling the actual progress of Digital Building Permit: Getting awareness through a critical state of the art review

  • Francesca Noardo*
  • , Dogus Guler
  • , Judith Fauth
  • , Giada Malacarne
  • , Silvia Mastrolembo Ventura
  • , Miguel Azenha
  • , Per Ola Olsson
  • , Lennart Senger
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Delft University of Technology
  • Bauhaus-Universität Weimar
  • Fraunhofer Italia Research
  • University of Brescia
  • University of Minho
  • Lund University
  • Leibniz University Hannover

Araştırma sonucu: Dergiye katkıİnceleme makalesibilirkişi

73 Atıf (Scopus)

Özet

Growing interest is awarded to the digitalization of the building permitting use case and many works are developed about the topic. However, the subject is very complex and many aspects are usually tackled separately, making it very hard for traditional literature reviews to grasp the actual progress in the overall topic. This paper unveils the detailed state of the art in Digital Building Permitting (DBP) by critically analysing the literature by means of a set of coding tags (research progress, implementation, affected DBP workflow steps, ambitions addressed) assigned by a multidisciplinary team. The executed research shows that the mainly addressed aspects of the digitalization of building permit process are the technologies to check the compliance of design proposals against regulations, followed by the digitalization of regulations. Improvable aspects identified in the entire building permit system are instead e.g. the involvement of officers, scalability of solutions and interoperability of data, intended both as data validation and as integration of geospatial data with building models.

Orijinal dilİngilizce
Makale numarası108854
DergiBuilding and Environment
Hacim213
DOI'lar
Yayın durumuYayınlandı - 1 Nis 2022

Bibliyografik not

Publisher Copyright:
© 2022 The Authors

Finansman

This study was conceived and developed within the collaboration among the EUnet4DBP participants. The work of F.N. was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707404, project “Multisource spatial data integration for smart city applications”. D.G. acknowledges the FIG (International Federation of Surveyors) Foundation, The Netherlands for PhD Scholarship. This study was conceived and developed within the collaboration among the EUnet4DBP participants. The work of F.N. was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707404 , project “Multisource spatial data integration for smart city applications”. D.G. acknowledges the FIG (International Federation of Surveyors) Foundation, The Netherlands for PhD Scholarship.

FinansörlerFinansör numarası
Horizon 2020 Framework Programme
Horizon 2020707404

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