"Socio-economic and Infrastructural Determinants of Response Time Dispa" by Alice N. Ottah

ORCID

https://orcid.org/0000-0003-4189-3768

Date of Award

Spring 2025

Language

English

Embargo Period

4-30-2025

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

College of Emergency Preparedness, Homeland Security and Cybersecurity

Program

Information Science

First Advisor

Brandon Behlendorf

Second Advisor

Brian Nussbaum

Third Advisor

Eric Best

Committee Members

Brandon, Behlendorf, Brian Nussbaum, Eric Best

Keywords

Response time, EMS, Fire, Police, Public Safety Agency, Emergency Services, Disparities, Factors, Socio-economic Status, SES, Neighborhood Disadvantage, Urban.

Subject Categories

Emergency and Disaster Management | Infrastructure | Library and Information Science

Abstract

This study comprehensively analyzes the determinants of disparities in emergency response times for EMS, Fire, and Police agencies in San Francisco from 2021 to 2023, utilizing a multilevel modeling framework and publicly accessible data. Contrary to a primary reliance on structural neighborhood factors, this research reveals that while neighborhood disadvantage statistically significantly interacts with agency type to influence response times, its direct effect is weak and not uniformly consistent across services. Specifically, the analysis demonstrates that variance in call response times across neighborhoods is minimal (Intraclass Correlation Coefficients < 0.02), the effects of disadvantage are agency-specific (null effects for Police and Fire), and even when significant (for EMS calls only), response times are faster in more disadvantaged neighborhoods. These findings challenge the existing literature on emergency response times and highlight the need for tailored policy interventions that consider both neighborhood context and agency-specific operations to promote equitable emergency response.

License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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