  Complex systems have been widely studied by social and natural scientists in
terms of their dynamics and their structure. Scholars of cities and urban
planning have incorporated complexity theories from qualitative and
quantitative perspectives. From a structural standpoint, the urban form may be
characterized by the morphological complexity of its circulation networks -
particularly their density, resilience, centrality, and connectedness. This
dissertation unpacks theories of nonlinearity and complex systems, then
develops a framework for assessing the complexity of urban form and street
networks. It introduces a new tool, OSMnx, to collect street network and other
urban form data for anywhere in the world, then analyze and visualize them.
Finally, it presents a large empirical study of 27,000 street networks,
examining their metric and topological complexity relevant to urban design,
transportation research, and the human experience of the built environment.
