• FP7/H2020/HEU

• Extending LDT capabilities to better represent PED’s multi-dimensional profile: Current LDT implementations lack sophistication necessary to characterise PEDs in all their complexity, as they typically address a limited number of urban systems, such as mobility, transport and energy consumption. BIPED will go beyond these domains to provide a deeper understanding of PEDs in general and Brabrand in particular. By integrating social, cultural and political properties of a city, BIPED will guide PED development toward a more holistic model that more accurately represents urban dynamics.
• Enriching PED development by integrating ‘soft’ datasets: Properties that define a district’s profile can often be measured quantitatively due to their discrete nature, using air or traffic sensors, for example. However, properties that are less quantitatively tangible, such as people’s perceptions or urban environment, are harder to capture but, once tapped, can show whether and where citizens feel happy or sad. This kind of emotional mapping has huge, though as yet unexplored, potential for urban planning. BIPED will pioneer the development of novel methodologies for gathering such “soft data” and its adequate representation in LDTs.
• Boosting PED’s replication potential for the benefit of climate neutral cities: Although PEDs have common characteristics, they tend to be very specific to the local context. It is not easy to replicate the solution from one district to another, even in the same city, which limits the scalability potential. BIPED will use international standards, and in particular MIMs (Minimal Interoperability Mechanisms), to facilitate cross-district and cross-border integration of datasets, models and services. This will ensure that the necessary technical requirements are met to develop replication strategies on a country level as well as more widely across the Cities Mission.

The geometrical and visual representation of the digital twin will feature a terrain model, orthophotos, 3D vegetation models, street furniture models, and building models as specified by the OGC CityGML standard with at least Level of Detail (LOD) 2 geometrical and semantical differentiation. Higher LODs with additional information of facade and roof structures will be created as needed.

Open standards such as CityGML, GeoJSON, GML, GlTF, and open interfaces such as OGC WMS, WFS, WCS, OGC API Features will be incorporated to a) enable live data exchange with existing spatial data infrastructures and b) ensure portability with IT infrastructures of other European cities.

• https://www.bi-ped.eu/