• Arbeitsplätze
  • Bildung
  • Building planning & design
  • Cultural buildings
  • Education
  • Einzelhandel
  • Gebäudeplanung & Design
  • Gesundheitswesen
  • Healthcare
  • Kulturelle Gebäude
  • Regional & urban plans
  • Regionale und städtische Pläne
  • Retail
  • Seite Entwicklungsstrategien
  • Site development strategies
  • Städtische Masterplan
  • Stadtplanung und-gestaltung
  • Straßen, Parks und öffentliche Räume
  • Streets, parks & public spaces
  • Transport
  • Urban masterplans
  • Urban planning & design
  • Verkehr
  • Workplaces
  • 交通建筑
  • 办公建筑
  • 区域与城市规划
  • 卫生健康建筑
  • 场地发展战略
  • 城市总图设计
  • 城市规划与设计
  • 建筑规划与设计
  • 教育建筑
  • 文化建筑
  • 街道、公园以及公共空间
  • 零售商业建筑
  • Net Zero Spatial Planning Tool

    Year
    2024

    Project Director
    Ed Parham

    Client
    Innovate UK

    A web-based tool, developed in collaboration with Bioregional, and funded by Innovate UK, to help Local Authorities understand the carbon emissions associated with allocating new housing.


    The opportunity

    The UK needs to deliver significant numbers of new homes, but this needs to be balanced against the carbon emitted during their construction and daily operation. Space Syntax developed a Transport model which allowed locations to be compared in terms of the carbon released as a result of residents’ daily travel patterns.


    Our contribution

    We developed mode share models that predict the number of journies, and distance travelled, by all modes of transport, for all purposes.

     

    Across England and Wales, (LSOA) census boundaries were categorised into one of four groups, based on how integrated they are in a larger settlement, and how embedded they are in a wider region. A Mode Share model was produced for each area type, combining characteristics of Location, Population, Walkability, Public Transport access, Socio-Economic and Demographic characteristics. Mode Shares were turned into distances travelled by extracting unique average commute distances for every census area in the country which then used DfT datasets to calculate emissions.


    The outcome

    Our models were integrated in a web-based dashboard allowing multiple scenarios to be compared against each other, as well as individual scenarios to be interrogated by Local Authorities themselves.