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The Use of Historical Data in Rule-Based Modelling for Scenarios to Improve Resilience within the Building Stock

Roumpani, F; Hudson, P; Hudson-Smith, AP; (2018) The Use of Historical Data in Rule-Based Modelling for Scenarios to Improve Resilience within the Building Stock. The Historic Environment: Policy & Practice , 9 (3-4) pp. 328-245. 10.1080/17567505.2018.1517142. Green open access

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Abstract

Digital documentation has become integral to the preservation, analysis and communication of historical sites. New platforms are now being developed that involve complex 3D models and allow the analysis of spatial data. These include procedural modelling, a technique that enables the rapid development of ‘dynamic’ 3D environments, and generation of simulations for entire cities, resulting in low cost, high resolution 3D city models. Though procedural modelling has been used in the context of archaeology to ‘recreate’ cities at specific historic time points, the use of historical data in the development of rule-based procedural models for current cities has been little explored. Here, we test the extent to which construction age data, historical building regulations and architectural knowledge can be used in the generation of procedural rules, and the level of detail and potential impact that these models may have. Rather than creating an accurate representation of the city, we instead seek to simulate the way in which urban areas are likely to behave under certain conditions, in order to test what-if? planning scenarios. This allows us to explore more flexible ways of digitally ‘creating’ cities, past and present, and to gain insights into underlying ‘rules’ that govern their physical form.

Type: Article
Title: The Use of Historical Data in Rule-Based Modelling for Scenarios to Improve Resilience within the Building Stock
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/17567505.2018.1517142
Publisher version: https://doi.org/10.1080/17567505.2018.1517142
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Procedural modelling, building age data, scenarios, CityEngine, Camden, City modelling, Victorian house
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10060118
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