Temporal dynamics of hazard duration modeling of emergency medical service in interstate crashes

This study investigates emergency medical service response dynamics in interstate crashes using hazard-based duration models. Analyzing 6,415 crashes on Louisiana (2019–2021), it examines three critical intervals: arrival, on-scene, and transport times. Fully parametric models with random parameters assess the influence of crash type, roadway geometry, environmental, and temporal factors. Beyond identifying average duration effects, the study shows that factors impacting EMS response did not operate uniformly across time. Rain was associated with shorter on-scene time in 2020, while open-country crashes showed shorter ambulance arrival times in 2021. Similarly, morning and midday crashes were associated with shorter transport times in 2019–2020 but longer in 2021. Crashes involving no driver protection system shifted from shorter EMS active and transport times in 2020 to longer in 2021. Findings suggest that EMS planning needs to adopt more adaptive strategies, including rural ambulance pre-positioning, time-of-day-based staffing, weather-responsive dispatching, and real-time routing support.

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Publication Details

Journal
Transportmetrica B Transport Dynamics
Published
2026-07-28
DOI
https://doi.org/10.1080/21680566.2026.2709144
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
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article

Temporal dynamics of hazard duration modeling of emergency medical service in interstate crashes

Richard Dzinyela, Subasish Das, Swastika Barua, Michael Starewich et al.
Transportmetrica B Transport Dynamics
Trauma and Emergency Care Studies
article

Temporal dynamics of hazard duration modeling of emergency medical service in interstate crashes

Richard Dzinyela, Subasish Das, Swastika Barua, Michael Starewich, M. Ashifur Rahman
article en

Abstract

This study investigates emergency medical service response dynamics in interstate crashes using hazard-based duration models. Analyzing 6,415 crashes on Louisiana (2019–2021), it examines three critical intervals: arrival, on-scene, and transport times. Fully parametric models with random parameters assess the influence of crash type, roadway geometry, environmental, and temporal factors. Beyond identifying average duration effects, the study shows that factors impacting EMS response did not operate uniformly across time. Rain was associated with shorter on-scene time in 2020, while open-country crashes showed shorter ambulance arrival times in 2021. Similarly, morning and midday crashes were associated with shorter transport times in 2019–2020 but longer in 2021. Crashes involving no driver protection system shifted from shorter EMS active and transport times in 2020 to longer in 2021. Findings suggest that EMS planning needs to adopt more adaptive strategies, including rural ambulance pre-positioning, time-of-day-based staffing, weather-responsive dispatching, and real-time routing support.

Transportmetrica B Transport DynamicsVol. 14(1)
Mitchell Institute (US), Texas A&M University (US)
Sustainable cities and communities
Openalex Percentile: Top 6%
Trauma and Emergency Care Studies
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