Our urban environments are the planned or unintended physical manifestations of economic, social and cultural dimensions of our lives. Our daily activities see us move through and engage with multiple activities, across scales and environmental diversity, using different modes of travel. These interdependent Urban Systems, that either work or fail to create our urban experience, are both complex and dynamic. To be able to understand and explain this complexity is the first step toward creating vibrant sustainable places through evidence-based strategy and design.
Urban Systems combines big data with urban analytics to disentangle complexity, unlocking the potential of place to inform urban strategies and create positive design outcomes. SUPERSPACE offers a wide-array of rigorous, sophisticated spatial analytics and expertise through our Urban Systems consultancy services. These services respond to the ever-growing demand for evidence-based, data-driven location intelligence and design feasibility.
Our team is a collective of urban designers, planners, data scientists and software developers who develop advanced design methodologies at the nexus between spatial cognition, behavioural analysis, big data and machine learning.
We currently offer services spanning:
Most of the data collected in the world is never analysed. One of our most valued services is to unlock datasets by mapping the data spatially, in 2D or 3D visualisations, both static and dynamic. Visualisations provide the means to graphically explore the data, and facilitate communication of the results. Our experience ranges from creating interactive community consultation pieces, to providing evidence for planning decisions and publications of research findings.
We bring data and analyses together to create ‘Place Profiles’: layered information describing the key characteristics of a place, from city to neighbourhood scale. Our profiles can be used to provide insights about a single location, to compare locations against set criteria, or to derive benchmarks for a location type through aggregating several profile studies.
Delving further into the data we employ statistical and machine learning techniques to search for correlations, trends and clusters in the datasets. Deeper data-driven insights can be gained from these techniques, with application to predictive scenarios, spatial asset management and city planning.
Our models can be tailored to incorporate client specific development KPIs as well as the planning and statutory requirements of a city. This assessment allows rapid and rigorous analysis of a site and its development potential. The process assists clients to evaluate strategic asset acquisition and redevelopment choices.
Conversely, by mapping a curated set of datasets over a large area we can search for profiles that match a set of required characteristics: ‘Location Search’. Interactive models allow the search criteria to be tightened and relaxed along different metrics to understand the impact of each criterion. Visualisations of the trade-offs results in better understanding of the search criteria and better resulting choices.
The above methodologies can be applied to realise the strategic objectives of a city or municipal area. Whether creating Urban Frameworks, Area Action Plans or Public Realm Strategies, we model and understand the spatial, economic, social and experiential qualities of urban environments, developing proposals using evidence-based methodologies. The spatial assessment establishes a set of base conditions against which design scenarios and exemplar precedents can be benchmarked, and bespoke simulation models created to plan scenarios of urban policy and to test guidelines.
Our methodologies are underpinned by a research remit into fundamental questions about the cities we live in. What makes cities good places to live, work and play? What makes neighbourhoods liveable, sustainable, viable? We undertake city- and neighbourhood- scale profiling studies to benchmark our socio-spatial metrics. As a service, we can also carry out bespoke research studies.