Architects & Developers

Our data sets and insights allow architects to use more relevant and up to date statistics and research for their RIBA phase 0 and 1 work. Socio-demographic data including levels of income and job occupations can assist architects in developing a robust business case for their projects.

 

For developers, our work includes traffic modelling around sites, competitive area analysis and existing communities review which can all inform an impactful and effective marketing strategy for the end development. We can help you understand where your target market is currently living, how they are socialising and the key factors keeping them in those areas. Additionally, insights can guide on the curation of commercial units and implementation of effective public realm.

Data Analytics & Metrics

Big data analytics is driven by the application of various metrics to support the decision making progress of stakeholders. These metrics help urban practitioners to make informed, accurate and sustainable decisions. Smart Urban Management (SUM) data sets include:

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  • Cellular data 
  • Social Media data including Twitter
  • Open source - public data sets (CENSUS etc.)
  • Travel data
  • Card transactions

 

Depending on the focus and outputs of the projects, SUM is able to collect and process extensive information and granular details on the following metrics:

Movement

- Mobility patterns – directional footfall numbers, desired paths etc.

  • - Origin and destination area of visitors
  • - Transport modes (public, private, cycling, walking etc.)
  • - Distance and time travelled
  • - Dwell time
  • - Patterns around ‘points of interest’
  • - Congestion and bottlenecks
  • - Hotspots of activity
  • - Under-used areas and times
  • - Key transit places
  • - Catchment areas – (origin of visitors)

Behaviour

- Socio-demographics (ethnic origin, social - status etc.)

  • - Discussion topics – around events, incidents, points of interest etc.
  • - Sentiments analysis
  • - Semantic links – identify competing places
  • - Security perceptions

Economics

- Transaction Volume

  • - Commercial diversity (sector break up etc.)
  • - Business hours
  • - Commercial real estate rents
  • - Commercial capacity – bench-marking sentiments against transaction volumes
  • - Spend satisfaction

These metrics do not include those that can be measured using existing data sets urban practitioners may already possess such as those related to licensing, planning, enforcement, crime etc. New data can be analysed together with existing data to identify bespoke places and the relationship patterns occurring within the urban realm.

 

SUM is pioneering the application of big data analytics to place making. For further information please get in touch using the get in touch tab at the top or the email address below.