A variety of key data sets including, vegetation, surface material, land use, hydrology along with transport layers have been collated to create the unique thermal comfort surface model that determines the ideal navigation and route planning for optimal shade and thermal comfort.
Built in a modular format the model enables customisation of inputs to create a unique localised thermal comfort index to cater for different urban area constraints. The outcome model demonstrates a multimodal navigation environment involving temperature, existing road network, green space and tree shadeways.
The Shadeways team will be working with other councils to test the thermal comfort mosaic model using different constraints and data. Over the course of the 2018-2019 summer season, thermal comfort sensors will be placed in strategic sites across Bendigo to quantify and verify the thermal model outputs to date. Once the data has been collected and collated, an updated thermal comfort model will be generated to create a more robust model to test in the field.
Longer goals for the Shadeways project include implementing the platform with local council’s strategy plans and Information and communication technology systems to enable users to navigate their optimal route for thermal comfort online. Ultimately the platform would interface with major mapping and navigation systems such as Google Maps and Apple Maps
Shadeways Project Team
The Shadeways project is a Commonwealth Smart Cities and Suburbs Project. The project is a collaboration, led by the RMIT Centre for Urban Research with Spatial Vision, Latrobe University and the City of Greater Bendigo.