1 citations · 2 across the 5 of their papers we have counts for
5 papers
The application of mixed-use measures at the pedestrian-scale
Gareth D. Simons
Mixed-use urbanism affords access to diverse assortments of land-uses within a pedestrian-accessible context. It confers advantages such as reductions to driving, air pollution, an…
Network centrality measures and their correlation to mixed-uses at the pedestrian-scale
Gareth D. Simons
Street network analysis holds appeal as a tool for the assessment of pedestrian connectivity and its relation to the intensity and mix of land-uses; however, application within urb…
Prediction of 'artificial' urban archetypes at the pedestrian-scale through a synthesis of domain expertise with machine learning methods
Gareth D. Simons
The vitality of urban spaces has been steadily undermined by the pervasive adoption of car-centric forms of urban development as characterised by lower densities, street networks o…
Untangling urban data signatures: unsupervised machine learning methods for the detection of urban archetypes at the pedestrian scale
Gareth D. Simons
Urban morphological measures applied at a high-resolution of spatial analysis can yield a wealth of data describing characteristics of the urban environment in a substantial degree…
The cityseer Python package for pedestrian-scale network-based urban analysis
Gareth D. Simons
cityseer-api is a Python package consisting of computational tools for fine-grained street-network and land-use analysis, helpful in assessing the morphological precursors to vibra…