Hayes Davidson

Hayes Davidson has a specialist team dedicated to analysing the potential visual impact of new city development, and has a highly successful track record supporting major planning applications. The team pioneered verified imaging for planning by building a methodology that allows accurate and verifiable before / after images of the urban environment.

The team has led the visual assessment of hundreds of major London development projects in both the public and private sectors, backed by rigorous processes that ensure precision and accuracy. Combined with skills to report against complex visual issues, this has allowed the team to successfully support over 55M sq.ft of projects to date.

The studio has built collaborative relationships with major London office and residential developers, architects, city planners, townscape and planning consultancies, arts organisations and statutory consultees. The work ranges from desktop assessments and view sensitivity analysis, to expert witness presentations at public inquiry.

View-scoping and early stage testing allow rapid analysis of alternative proposals, supported by substantial London data resources including a 40km2 3D model and a database of consented projects. This is used to simulate ‘what if’ development scenarios, allowing clients to explore site potential and review design options in preparation for the planning process.

Studies are undertaken from a wide range of viewing locations, and a shortlist of views is quickly identified and agreed between the client, planning authority and other consultees. This approach has been successfully employed in many major planning applications, appeals and public inquiries including One Blackfriars, Doon Street and the Shard.

The studio collaborates closely with clients and has developed secure and robust online image delivery and review systems, allowing clients and their advisory teams to see the work as it progresses. The systems are particularly helpful supporting large and complex planning assessments where a high number of before and after images are required to support the application.