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September 21 and 22
2 days, 2 disciplines, 2 ways to participate – defining our professional roles and uniting to build more equitable, accessible and inspired communities.
A street reimagined. What started out as an action in “Our Move Forward: London’s Downtown Plan” has led the transformation “Dundas Street” into “Dundas Place,” London’s first flexible street.
But how did it all start? A great deal of work was done to help form the future of this unique public space. Visioning and visualization technologies helped all parties really see what was proposed for the blocks between Ridout and Wellington Streets. This transformative project for the city is rooted in flexible urban design, integrated mobility, and transit-oriented development. Critical to the success of this project was the innovative approach to making sure underground infrastructure was seamlessly integrated with the flexible street above. Urban designers, landscape architects, engineers, and other professionals united to transform this site into Dundas Place.
This session will explore two integral parts of how the design for the streetscape came to be. The first includes the initial visioning, which laid the groundwork for the design and included placemaking workshops to establish themes, key aesthetic approaches, and the framework for lighting, street furnishings, and a strategy for public art. The City of London, Dillon Consulting, and Gehl Studio worked together in the initial phase and a number of innovative engagement tools were used to help craft a narrative of the life of the space and point the direction for the vision.
The second part of this session tells the story of how a series of modelled and rendered images were crafted to aid the public and stakeholders in imaging Dundas Place. Detailed plans and visualizations for landmark locations within each block were prepared with photo-realistic images, including construction documents for hardscape elements, tree planting, and specialty fabrications for public and agency consultation. Our team utilized Esri CityEngine as well as additional rendering layers to create photo-realistic imagery that was accurate in its dimensions.