ABM simulations handle the mathematically abstracted environment and the
interactions with the involved entities in time series iterations, where the frequencies and time span can be selected to best represent the studied system. This can be
citizens in an urban system, aligned with the time patterns of flows. This approach
can directly benefit from data sources, where the related parameters effecting the
agents’ behaviours are made available in the identified resolution in terms of iteration frequencies and quality. To provide the required background for the simulations at the urban ecosystem, multidimensional data needs to be utilised. This
includes the spatial urban data in the form of GIS, BIM and CIM (City Information
Model) models, material and energy flow data in the form of UM approach, weather
and climate related time series data.
3.4 Developing an Integrated Assessment Platform for NBS
The assessment method proposed for Nature4Cities, a flagship HORIZON2020
project on NBS, aims to integrate multiple tools that incorporate modelling abilities
at different scales and techniques such as remote sensing for a platform that covers
economic, social and environmental aspects of NBS. The environmental assessment
module is planned to handle the relation between the UM and social well-being
through ABM along with LCA for the assessment of environmental impacts. The
project aspires for a holistic assessment of NBS, making the discussed data needs
critical. This approach shall look into the relations of urban flows’ distribution,
intensity, services and impacts with the behaviour of citizens as agents. Dynamic
assessment covers the changing nature of this interaction: supply of flows influences
the decisions and behaviours of the population, resulting in changes in the settlement pattern, creating or reducing demand in flows over time.
The EPESUS City platform will be part of the technologies that contribute to the
integrated assessment platform of Nature4Cities along with other novel technologies. It is an ICT tool that performs life cycle assessment at the urban scale in a time
series approach [30]. This enables the assessor to identify hotspots of the indicator
studied within the determined period of time, allowing to identify and mitigate
extremities, make decisions based on desired performance patterns over time and
optimize the life span of the study.
3.5 Integrating BIM and New Opportunities
Integrating BIM to urban assessment suggests new opportunities in improving the
precision of data sources for LCA and the scalability of assessment at different
300
D. Başoğlu et al.
Précédent

- 290/498

Suivant