Development of an urban as-built model: the case study of Aberdeen.

Leon, Marianthi; Laing, Richard; Loveday, Jake; McClean, David; Beattie, Sandy

Abstract

This paper is focusing on the local strategic development plan for the city of Aberdeen, UK, and examines the initiation of applying a regeneration plan to the city centre. For that purpose, Aberdeen City Council commissioned Robert Gordon University to develop a 3D as-built model of the city centre. The researchers developed a novel process to tackle data acquisition for urban scale as-built visualisations that would afterwards promote stakeholders' collaboration. A workflow was developed and tested with the aim to provide not only geometric accurate data of the current state but also meta-data in relation to historic and future applications. Terrestrial LiDAR systems were employed and rapidly advancing hardware and software was tested, evaluated and utilised.This project aims to have an impact to the 3D data acquisition in relation to urban scale projects that apply Terrestrial Laser Scanning technologies. Furthermore, the suggested workflow can be generalised for the production of urban scale as-built models for the purposes of design and planning decision making and delivery of sustainable infrastructure, transportation systems and overall sustainable communities. The paper concludes with further suggestions for the generalisation of the process and its adaptation depending on the application, i.e. transportation, green spaces.

Citation

LEON, M., LAING, R., LOVEDAY, J., MCCLEAN, D. and BEATTIE, S. 2017. Development of an urban as-built model: the case study of Aberdeen. In Bosché, F., Brilakis, I. and Sacks, R. (eds.) Proceedings of the 2017 Lean and computing in construction congress (LC3 2017), 4-7 July 2017, Heraklion, Greece. Edinburgh: Heriot-Watt University [online], volume 1: proceedings of the Joint conference on computing in construction (JC3), pages 525-532. Available from: https://doi.org/10.24928/JC3-2017/0141

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Joint conference on computing in construction (JC3)
• Start Date: Jul 4, 2017
• End Date: Jul 7, 2017
• Acceptance Date: Jan 16, 2017
• Online Publication Date: Jul 4, 2017
• Publication Date: Jul 7, 2017
• Deposit Date: Jan 26, 2018
• Publicly Available Date: Jan 26, 2018
• Publisher: Heriot Watt University
• Peer Reviewed: Peer Reviewed
• Pages: 525-532
• ISBN: 9780956595164
• DOI: https://doi.org/10.24928/JC3-2017/0141
• Keywords: 3D laser scanning; As-built modelling and visualisation; Data acquisition
• Public URL: http://hdl.handle.net/10059/2692
• Contract Date: Jan 26, 2018