 The paper presents a computational sandbox for studying urban damage scenarios using automata models with interactivity provided by slipstreaming. It supports parameterization of synthetic built settings and humans, allowing flexible analyses of damage scenarios and their determining processes from micro to macro perspectives. While there is room for improvement in terms of real-world fidelity, the model has produced meaningful results supporting practical questions of how urban design and parking scenarios shape egress and pointing to potential phenomena of perceptual shadowing as a translation mechanism for processes at the built human interface. This article was offered by Paul M. Torrance.