Mehaffy, Michael W. "Counting Urban Carbon: Effective Modeling of Resource-Efficient Urban Design Decisions Under Uncertain Conditions." Archnet-IJAR: International Journal of Architectural Research, vol. 8, issue 2 (2014): 20-35.
Urban design decision support tools aimed at achieving desired outcomes –
such as reduction of greenhouse gas emissions – must respond to the inherent
complexity of urban systems, and the inherent uncertainties within measurement
and inventory methods. Moreover, they
must accommodate the epistemological limitations of all models, arising from
their dynamic relationship with the often self-modifying phenomena they are
intended to model. Drawing on methodologies from other fields, we present here
the outline of a methodology that meets that requirement, exploiting the
capacity for iteration, empirical evaluation, and collaborative refinement over
time. We show how this methodology is
suitable for application in a new generation of decision support tools for
Keywords: modeling methodologies; carbon
reduction; greenhouse gas emissions.