Gareth D Simons
Biographic Data
| ID | 6931561 |
|---|---|
| NAME | Gareth D Simons |
| GIVEN NAMES | Gareth D |
| FAMILY NAME | Simons |
| SIGNATURE | SIMONS G D |
| AFFILIATIONS | Space Syntax (United Kingdom) |
| ORCID | 0000-0003-3790-0638 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Nine ‘myths’ about the building stock of Great Britain
The National Buildings Database (NBD) has been delivered to the UK Department for Energy Security and Net Zero (DESNZ). This covers the complete population of 2.2 million non-domestic premises and 30 million dwellings in Great Britain (but not Northern Ireland). Each is modelled in detail, in three dimensions, using the 3DStock method. Actual annual meter data are attached. This paper outlines some of the myths about the building stock—its compos…
Automated versus hybrid street network modelling for centrality and accessibility analysis
This study evaluates the extent to which fully automated street network modelling can reproduce the analytical outcomes of a hybrid (automated–manual) approach for centrality and accessibility analysis across four morphologically distinct cities: Nicosia, London, Gothenburg, and Madrid. Results show that the geometry-preserving segmentation logic of the automated workflow systematically increases network granularity relative to the continuity-mer…
Framing Evidence-Based Design and Planning
The increasing complexity of urban environments has exposed the limitations of prescriptive approaches in urban design and planning, highlighting the need for more adaptive, data-informed, and methodologically rigorous processes. Evidence-Based Design and Planning (EBDP) offers a promising response by embedding evidence as a continuous and iterative element throughout design and decision-making. Yet, its adoption in practice remains uneven, const…
The cityseer Python package for pedestrian-scale network-based urban analysis
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 vibrant neighbourhoods. It is underpinned by network-based methods developed specifically for urban analysis at the pedestrian scale. cityseer-api computes a variety of node and segment-based network centrality methods, land-use accessibility and mixed-use measures, and stat…
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The cityseer Python package for pedestrian-scale network-based urban analysis
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 vibrant neighbourhoods. It is underpinned by network-based methods developed specifically for urban analysis at the pedestrian scale. cityseer-api computes a variety of node and segment-based network centrality methods, land-use accessibility and mixed-use measures, and stat…
Framing Evidence-Based Design and Planning
The increasing complexity of urban environments has exposed the limitations of prescriptive approaches in urban design and planning, highlighting the need for more adaptive, data-informed, and methodologically rigorous processes. Evidence-Based Design and Planning (EBDP) offers a promising response by embedding evidence as a continuous and iterative element throughout design and decision-making. Yet, its adoption in practice remains uneven, const…
Nine ‘myths’ about the building stock of Great Britain
The National Buildings Database (NBD) has been delivered to the UK Department for Energy Security and Net Zero (DESNZ). This covers the complete population of 2.2 million non-domestic premises and 30 million dwellings in Great Britain (but not Northern Ireland). Each is modelled in detail, in three dimensions, using the 3DStock method. Actual annual meter data are attached. This paper outlines some of the myths about the building stock—its compos…
Automated versus hybrid street network modelling for centrality and accessibility analysis
This study evaluates the extent to which fully automated street network modelling can reproduce the analytical outcomes of a hybrid (automated–manual) approach for centrality and accessibility analysis across four morphologically distinct cities: Nicosia, London, Gothenburg, and Madrid. Results show that the geometry-preserving segmentation logic of the automated workflow systematically increases network granularity relative to the continuity-mer…
Urban Design and Spatial Analysis (3 works) · Centrality (2 works) · Network analysis (2 works) · Street network (2 works) · Urban Green Space and Health (2 works) · Urban Transport and Accessibility (2 works) · Adaptation (eye (1 work) · Best practice (1 work) · Betweenness centrality (1 work) · Building Energy and Comfort Optimization (1 work)