Volumetric Behaviour Analysis (VBA) - 1PHTR1

Published: 15 July 2024| Version 2 | DOI: 10.17632/vrxnh3dzv5.2
Contributors:
Gerhard Bruyns,

Description

This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case PHTR1". The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.

Files

Steps to reproduce

The data was gathered in a 12-minute scan of the high rise public housing interior. The Leica BLK2Go Photogrammetry and LiDAR portable scanner was utilised for the task. Leica 360Register (BLK2Go Edition) software was utilised to convert the scan into a point cloud format (.e57) for convenient usage and data transfer. Additionally, the point cloud was reduced in size by decimating it at a voxel resolution of 5 millimetres, further reducing the file size. The process of creating the data set adheres closely to the workflow description provided by the scanner vendor, without making any significant modifications or adding further details.

Institutions

Hong Kong Polytechnic University

Categories

3D Analysis, Density, Photogrammetric 3D Model, Spatial 3D Modeling, Hong Kong, Housing, Interior Design

Funding

Research Grants Council, University Grants Committee

Project No. PolyU/RGC Project No 15609922

Licence