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Open AccessArticle

Simulating Urban Shrinkage in Detroit via Agent-Based Modeling

1
Department of Computational and Data Science, George Mason University, Fairfax, VA 22030, USA
2
Department of Geography, University at Buffalo, Buffalo, NY 14260, USA
3
Institute for Immigration Research, George Mason University, Fairfax, VA 22030, USA
4
Institute of Geospatial Research and Education, Eastern Michigan University, Ypsilanti, MI 48197, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Philippe J. Giabbanell
Sustainability 2021, 13(4), 2283; https://doi.org/10.3390/su13042283
Received: 20 January 2021 / Revised: 16 February 2021 / Accepted: 17 February 2021 / Published: 20 February 2021
(This article belongs to the Special Issue Modelling and Simulation of Human-Environment Interactions)
While the world’s total urban population continues to grow, not all cities are witnessing such growth—some are actually shrinking. This shrinkage has caused several problems to emerge, including population loss, economic depression, vacant properties and the contraction of housing markets. Such issues challenge efforts to make cities sustainable. While there is a growing body of work on studying shrinking cities, few explore such a phenomenon from the bottom-up using dynamic computational models. To fill this gap, this paper presents a spatially explicit agent-based model stylized on the Detroit Tri-County area, an area witnessing shrinkage. Specifically, the model demonstrates how the buying and selling of houses can lead to urban shrinkage through a bottom-up approach. The results of the model indicate that, along with the lower level housing transactions being captured, the aggregated level market conditions relating to urban shrinkage are also denoted (i.e., the contraction of housing markets). As such, the paper demonstrates the potential of simulation for exploring urban shrinkage and potentially offers a means to test policies to achieve urban sustainability. View Full-Text
Keywords: agent-based modeling; housing markets; Urban Shrinkage; cities; Detroit; GIS agent-based modeling; housing markets; Urban Shrinkage; cities; Detroit; GIS
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MDPI and ACS Style

Jiang, N.; Crooks, A.; Wang, W.; Xie, Y. Simulating Urban Shrinkage in Detroit via Agent-Based Modeling. Sustainability 2021, 13, 2283. https://doi.org/10.3390/su13042283

AMA Style

Jiang N, Crooks A, Wang W, Xie Y. Simulating Urban Shrinkage in Detroit via Agent-Based Modeling. Sustainability. 2021; 13(4):2283. https://doi.org/10.3390/su13042283

Chicago/Turabian Style

Jiang, Na; Crooks, Andrew; Wang, Wenjing; Xie, Yichun. 2021. "Simulating Urban Shrinkage in Detroit via Agent-Based Modeling" Sustainability 13, no. 4: 2283. https://doi.org/10.3390/su13042283

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