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pith:R2D6RV3L

pith:2026:R2D6RV3LLOHTGDTL5OEYJ7ESFF
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Scrutinizing Index-Based Risk Assessments: A Case Study in NYC Decision-making for Heat Emergency Management

Allison Koenecke, Angelina Wang, Jennah Gosciak, Luke Boyce

Different choices of variables or spatial scale in risk indices can produce substantively different scores for NYC heat emergency targeting.

arxiv:2605.17697 v1 · 2026-05-17 · cs.CY

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Claims

C1strongest claim

different reasonable choices of input variables or spatial scale can result in substantive differences to index risk scores, thereby affecting downstream government decision-making

C2weakest assumption

That variations in index scores arising from reasonable design choices in variables or spatial scale constitute challenges to validity and reliability for emergency management decisions, as mapped from the measurement literature.

C3one line summary

Sensitivity analyses of NYC heat emergency indices show that reasonable variations in input variables and spatial scale lead to substantially different risk scores affecting downstream government decisions.

References

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[1] NYC Emergency Management Heat Emergency Plan: Local Law 85 of 2020 2020
[2] How Extreme Heat is Impacting India 2025
[3] Human Development Index (HDI) 2025
[4] Enoch J Abbey, Banda AA Khalifa, Modupe O Oduwole, Samuel K Ayeh, Richard D Nudotor, Emmanuella L Salia, Oluwatobi Lasisi, Seth Bennett, Hasiya E Yusuf, Allison L Agwu, et al. 2020. The Global Health 2020
[5] Federal Emergency Management Agency. [n. d.]. The National Risk Index. https://hazards.fema.gov/nri/
Receipt and verification
First computed 2026-05-20T00:04:53.360047Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8e87e8d76b5b8f330e6beb8984fc92297d7ba8e9d8adb47a401eb49acf715bd1

Aliases

arxiv: 2605.17697 · arxiv_version: 2605.17697v1 · doi: 10.48550/arxiv.2605.17697 · pith_short_12: R2D6RV3LLOHT · pith_short_16: R2D6RV3LLOHTGDTL · pith_short_8: R2D6RV3L
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/R2D6RV3LLOHTGDTL5OEYJ7ESFF \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8e87e8d76b5b8f330e6beb8984fc92297d7ba8e9d8adb47a401eb49acf715bd1
Canonical record JSON
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