Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund - Open Research Data - Bridge of Knowledge

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Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund

Description

The data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the Brunnshög district in Lund, Sweden. The students made digital models based on the analysis of web-based data. On this basis, they reconstructed the structure by analysing the layout and heights of the buildings and the shape of the roofs.

The dataset presents the design work of students at the Faculty of Architecture, Gdansk University of Technology, first semester of their master's studies. The research work was coordinated by Justyna Martyniuk-Pęczek, PhD., D.Sc., Architect and was realised within the framework of a research grant entitled "Study of the potential of residential district structures in the context of the search for initiatives. "Investigating the potential of structures of residential neighbourhoods in the context of the search for urban planning initiatives for sustainable development" as part of the implementation of the TECHNETIUM TALENT MANAGEMENT GRANTS programme - Programme type: Mentoring Grants Programme: Technetium Talent Management Grants, Application Number: 23/1/2022/IDUB/III.4c/Tc at the EcoTech Centre.

The results in the dataset provide a basis for further research and development of the topic of shaping residential neighbourhoods.

Dataset file

Case Study ATLAS-Lund Brunnshög M.Jarzyna A.Wyrzykowska.3dm
26.0 MB, S3 ETag a2358f5adef20fe50c10e15215dcc3a6-1, downloads: 57
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial
Software:
Rhino 3D Model

Details

Year of publication:
2023
Verification date:
2023-11-03
Creation date:
2023
Dataset language:
English
Fields of science:
  • architecture and urban planning (Engineering and Technology)
DOI:
DOI ID 10.34808/qpv7-d759 open in new tab
Verified by:
Gdańsk University of Technology

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