Did my policy work? The power of evaluating projects with spatial analysis

We often use spatial analysis to help us make decisions about what to do – the demand and supply of goods and energy, the most sensitive place to environmental change, locations of disease prevalence, locations of economies and neighbourhood types, and many more applications. We can use this analysis to inform our actions and to help shape policy about what should be done.

But what about when those policies have been put into practice? The results of projects are less commonly quantified with spatial methods, but this type of analysis offers huge potential to evaluate impacts. Geofutures has been involved in several interesting example projects:

Housing market renewalHousing market renewal impact study
Heavy government investment was made into several large urban residential areas in the 2000′s to bring about ‘neighbourhood change’. The focus was on improving housing stock and social infrastructure. The Audit Commission were keen to know how well this investment worked in the Newcastle and North Staffs Pathfinder areas. We tested multiple neighbourhood factors including new housing stock and social infrastructure, crime, vacant space, environment and demographics, using Geographic Weighted Regression (GWR) statistics. GWR gave us an understanding of which of these explanatory factors are responsible for any uplift in property prices and where.



Jubilee Line extensionJubilee Line Extension impact study
This London underground extension aimed to improve accessibility between Green Park and Stratford. An inevitable consequence was uplift in nearby housing market values. Hedonic modelling together with GWR allowed us to quantify the effect of the extension, amongst other potential factors, and show where the biggest impact had been.

Croydon Tramlink impact study
The South London ‘Croydon Tramlink’ was built to increase the accessibility of the London Borough of Croydon. We tested the changes in property occupation over the time of the development between 1996 to 2004, for the Royal Institute of Chartered Surveyors (RICs). GWR statistics modelled and visualised where the biggest impact occurred along the route.



These techniques can be used on any domain where spatial data is available. If you’d like to discuss a project idea with us, get in touch.

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