The Infrastructures of Tomorrow: Integrating Local Planning and Management for Climate Resilient Stormwater Systems

Aaron Deslatte & Juwon Chung

State and Local Government Review2025https://doi.org/10.1177/0160323x241283407article
AJG 1
Weight
0.44

What the paper says

Local governments tend to produce disjointed planning and implementation responses to ambiguous problems. This study adapts a cognitive science framework known as active inference to investigate local government resilience planning and management processes. We contend that disconnects between planning and management reflect the inadequacy of the “knowledge infrastructure” systems which could enable more adaptive responses. Using a mixed-methods approach to study stormwater resilience in the U.S. state of Indiana, we find evidence that municipalities integrate planning and management efforts relative to experienced flooding impacts. However, they are less likely to proactively develop information on longer-term or more distant climate impacts.

3 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1177/0160323x241283407

Or copy a formatted citation

@article{aaron2025,
  title        = {{The Infrastructures of Tomorrow: Integrating Local Planning and Management for Climate Resilient Stormwater Systems}},
  author       = {Aaron Deslatte & Juwon Chung},
  journal      = {State and Local Government Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/0160323x241283407},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The Infrastructures of Tomorrow: Integrating Local Planning and Management for Climate Resilient Stormwater Systems

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.