The Use of Historical Data in Rule-Based Modelling for Scenarios to Improve Resilience within the Building Stock
Bibliographic Data
| ID | 21194596 |
|---|---|
| Authors | Flora Roumpani (0000-0001-9333-2837, School of Advanced Study, corresponding author), Polly Hudson (0000-0001-7202-750X, University College London), Andrew Hudson‐Smith (0000-0001-8403-8716, School of Advanced Study), Andrew Hudson-Smith (University College London) |
| Year | 2018 |
| Volume | 9 |
| Issue | 3-4 |
| Pages | 328-345 |
| Publication date | 2018-10-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Historic Environment Policy & Practice (JOURNAL) |
| Journal identifiers | ISSN: 1756-7505 • E-ISSN: 1756-7513 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/17567505.2018.1517142 |
| OpenAlex | W2897666971 |
| Language | EN |
| Citations received | 3 |
| References cited | 9 |
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
Data science · Documentation · Geography · Programming language · Software engineering · 3D Modeling in Geospatial Applications · 3D Surveying and Cultural Heritage · Computer Science · Remote Sensing and LiDAR Applications
| Citations per year | 0.38 |
|---|---|
| Citation span | 2018 - 2025 (8) |
| Highly cited | No |