Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund - Open Research Data - MOST Wiedzy

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

Opis

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.

Plik z danymi badawczymi

Case Study ATLAS-Lund Brunnshög M.Jarzyna A.Wyrzykowska.3dm
26.0 MB, S3 ETag a2358f5adef20fe50c10e15215dcc3a6-1, pobrań: 58
Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5

Informacje szczegółowe o pliku

Licencja:
Creative Commons: by-nc 4.0 otwiera się w nowej karcie
CC BY-NC
Użycie niekomercyjne
Oprogramowanie:
Rhino 3D Model

Informacje szczegółowe

Rok publikacji:
2023
Data zatwierdzenia:
2023-11-03
Data wytworzenia:
2023
Język danych badawczych:
angielski
Dyscypliny:
  • architektura i urbanistyka (Dziedzina nauk inżynieryjno-technicznych)
DOI:
Identyfikator DOI 10.34808/qpv7-d759 otwiera się w nowej karcie
Weryfikacja:
Politechnika Gdańska

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