Superfund cleanup time and community characteristics: A survival analysis
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Updated: Sep 2, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Leili Solatyavari1, Anna A Klis2, Jeremy Groves3
1Ingram Micro, USA.
Abstract:
This paper investigates the correlation of socioeconomic characteristics of communities close to Superfund sites with the duration of cleanup using spatial survival analysis with frailty effects. Census-tract-level data is used to achieve a more accurate representation of affected areas. We find evidence of slower cleanup in areas with higher minority population, particularly when controlling for EPA Region. Additionally, sites that are more costly, have high assessed hazards, and have a Community Action Group are associated with longer cleanup times, while sites which are federally owned and have low assessed hazards are associated with shorter cleanup times.
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