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


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Noardo F., Güler D., Fauth J., Malacarne G., Mastrolembo Ventura S., Azenha M., ...More

BUILDING AND ENVIRONMENT, vol.213, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 213
  • Publication Date: 2022
  • Doi Number: 10.1016/j.buildenv.2022.108854
  • Journal Name: BUILDING AND ENVIRONMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Communication Abstracts, Environment Index, Greenfile, ICONDA Bibliographic, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Keywords: Digital building permit, BIM, GIS, GeoBIM, Compliance checking, Rule checking, DOMAIN-SPECIFIC LANGUAGE, COMPLIANCE CHECKING, DESIGN, RULE, IMPLEMENTATION, MODEL, FRAMEWORK, FEATURES, QUALITY, SYSTEM
  • Istanbul Technical University Affiliated: Yes

Abstract

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.