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Technologies and techniques offering new interpretations of the landscape evolution
- Publication Year :
- 2019
-
Abstract
- The need for specific documents in terms of environment and landscape has its origin in late eighties, when in Italy both at European and Regional level several dispositions related to the improvement of the landscape quality came out to guarantee the compatibility of territorial transformations. Within this traditional context, how innovative, mainly BIM-oriented, technologies can be useful in offering new ways of interpretation for the landscape planning and safeguarding? The aim of the present work is to read and translate landscape elements using digital BIM-oriented platforms, in order to develop an optimized procedure to collect/organize/implement data and define guidelines for landscape and visual impact assessment; furthermore, the aim is to understand the limits that are still present within available tools. After having read the features of the territory another key point is the creation of digital parametric libraries to represent environmental mitigation works. As far as visual mitigation works are concerned, visibility analysis of the infrastructure is possible through Virtual and Mixed Reality. Once the modeling of specific components is performed, they can be located within the contextual model, where outputs related to the “whole” can be extracted and updated afterwards. New digital technologies and techniques undoubtedly offer new interpretation scenarios of the landscape evolution; nevertheless, there are still strong limits related to the interactions among these tools. The present work provides a valid methodology to involve landscape and urban planning in the BIM process. The research also proposes a series of BIM oriented tools and software to develop a typical output (landscape report) required during the design process, useful for landscape architects.<br />QC 20230705
Details
- Database :
- OAIster
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1399553281
- Document Type :
- Electronic Resource