Towards a comprehensive framework for modeling urban spatial dynamics |
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Authors: | Email author" target="_blank">Elena?G?IrwinEmail author Ciriyam?Jayaprakash Darla?K?Munroe |
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Institution: | (1) Department of Agricultural, Environmental and Development Economics, Ohio State University, 2120 Fyffe Rd., Columbus, OH 43210, USA;(2) Department of Physics, Ohio State University, Physics Research Building, 191 West Woodruff Ave, Columbus, OH 43210, USA;(3) Department of Geography, Ohio State University, 154 North Oval Mall, Columbus, OH 43210, USA |
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Abstract: | The increasing availability of spatial micro data offers new potential for understanding the micro foundations of urban spatial
dynamics. However, because urban systems are complex, induction alone is insufficient. Nonlinearities and path dependence
imply that qualitatively new dynamics can emerge due to stochastic shocks or threshold effects. Given the policy needs for
managing urban growth and decline and the growing desire for sustainable urban forms, models must be able not only to explain
empirical regularities, but also characterize system-level dynamics and assess the plausible range of outcomes under alternative
scenarios. Towards this end, we discuss a comprehensive modeling approach that is comprised of bottom-up and top-down models
in which both inductive and deductive approaches are used to describe and explain urban spatial dynamics. We propose that
this comprehensive modeling approach consists of three iterative tasks: (1) identify empirical regularities in the spatial
pattern dynamics of key meso and macro variables; (2) explain these regularities with process-based micro models that link
individual behavior to the emergence of meso and macro dynamics; and (3) determine the systems dynamical equations that characterize
the relationships between micro processes and meso and macro pattern dynamics. Along the way, we also clarify types of complexity
(input and output) and discuss dimensions of complexity (spatial, temporal, and behavioral). While no one to date has achieved
this kind of comprehensive modeling, meaningful progress has been made in characterizing and explaining urban spatial dynamics.
We highlight examples of this work from the recent literature and conclude with a discussion of key challenges. |
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