Procedural generation of flood-sensitive urban layouts
Bibliographic Data
| ID | 21247716 |
|---|---|
| Authors | Ahmed Mustafa (0000-0002-1592-6637, University of Liège, corresponding author), Xiao Wei Zhang (University of Liège), Daniel G Aliaga (0000-0001-9794-462X, Purdue University West Lafayette), Martin Bruwier (0000-0001-6596-1273, University of Liège), Gen Nishida (0000-0002-1135-2576, Purdue University West Lafayette), Benjamin Dewals (0000-0003-0960-1892, University of Liège), Sébastian Erpicum (0000-0002-7094-9604, University of Liège), Pierre Archambeau (0000-0001-7712-3453, University of Liège), Michel Pirotton (0000-0002-2483-5489, University of Liège), Jacques Teller (0000-0003-2498-1838, University of Liège) |
| Year | 2020 |
| Volume | 47 |
| Issue | 5 |
| Pages | 889-911 |
| Publication date | 2020-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2399808318812458 |
| OpenAlex | W2901740509 |
| Language | EN |
| Citations received | 6 |
| References cited | 46 |
Aside from modeling geometric shape, three-dimensional (3D) urban procedural modeling has shown its value in understanding, predicting and/or controlling effects of shape on design and urban planning. In this paper, instead of the construction of flood resistant measures, we create a procedural generation system for designing urban layouts that passively reduce water depth during a flooding scenario. Our tool enables exploring designs that passively lower flood depth everywhere or mostly in chosen key areas. Our approach tightly integrates a hydraulic model and a parameterized urban generation system with an optimization engine so as to find the least cost modification to an initial urban layout design. Further, due to the computational cost of a fluid simulation, we train neural networks to assist with accelerating the design process. We have applied our system to several real-world locations and have obtained improved 3D urban models in just a few seconds
Algorithm · Civil engineering · Flood myth · Geography · Parameterized complexity · Procedural modeling · Urban design · Urban planning · Computer Science · Engineering · Flood Risk Assessment and Management · Remote Sensing and LiDAR Applications · Video Surveillance and Tracking Methods · Artificial Intelligence
Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods
Developing a Bi-Level Optimization Model for the Coupled Street Network and Land Subdivision Design Problem with Various Lot Areas in Irregular Blocks
Generative methods for Urban design and rapid solution space exploration
Anomalous human activity fluctuations from digital trace data signal flood inundation status
Urban Built Environment and Flood Ramifications
Assessing the scale effect of urban vertical patterns on urban waterlogging
| Citations per year | 1.5 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |