A grammar-based optimization approach for walkable urban fabrics considering pedestrian accessibility and infrastructure cost
Bibliographic Data
| ID | 21247775 |
|---|---|
| Authors | Fernando T Lima (0000-0001-7501-1466, Universidade Federal de Juiz de Fora, corresponding author), Nathan C Brown (Pennsylvania State University), José P Duarte (0000-0002-3826-3987, Pennsylvania State University) |
| Year | 2022 |
| Volume | 49 |
| Issue | 5 |
| Pages | 1489-1506 |
| Publication date | 2022-06-01 |
| 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 | 10.1177/23998083211048496 |
| OpenAlex | W4206135382 |
| Language | EN |
| Citations received | 5 |
| References cited | 44 |
Designing urban areas that provide smaller distances to their amenities is a key factor toward more walkable environments. Moreover, this is a critical aspect of climate-resilient urban planning since it is broadly assumed that areas with greater walkability discourage automobile usage and reduce CO 2 emissions. Generative and data-driven design approaches, in turn, increase designers’ ability to explore wider sets of potential solutions. In this sense, identifying designs with an optimized performance out of the vast possibilities that computation can provide is crucial. Shape grammars are a formal method of shape generation that facilitate the elaboration of complex patterns and meaningful designs. This paper hypothesizes that coupling shape grammars with multi-objective optimization can help address trade-offs and decision-making in urban design. It focuses on the pedestrian accessibility and infrastructure cost (as estimated by cumulative street length) trade-off in urban fabrics as a case study to verify the suitability of a grammar-based optimization approach for more dynamic and efficient solution-finding in urban design. Our findings suggest that a grammar-based optimization approach is helpful in addressing urban trade-offs as it could be used to filter the design space and provide optimal alternative fabric layouts with increased pedestrian accessibility and decreased infrastructure cost
Built environment · Civil engineering · Pedestrian · Rule-based machine translation · Transport engineering · Urban design · Urban planning · Walkability · Computer Science · Engineering · Urban Design and Spatial Analysis · Urban Green Space and Health · Urban Transport and Accessibility · Artificial Intelligence
Digital Participatory Model as Part of a Data-Driven Decision Support System for Urban Vibrancy
Generative urban modelling for walkable neighbourhoods
Smart cities and climate-resilient urban planning
Hybrid quantitative mesoscale analyses for simulating pedestrians’ visual perceptions
Computational Optimisation of Urban Design Models
Validation of Walk Score for estimating access to walkable amenities
Benefits of shift from car to active transport
Null
Travel demand and the 3Ds
Pathways to creating differentiated grids
Pedestrian accessibility in grid layouts
Walkability assessment for urban areas around railway stations along the Rhine-Alpine Corridor
What is walkability? The urban DMA
Design and Destinations
Travel and the Built Environment
| Citations per year | 1.25 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |