# Improving urban emergency medical service systems through brownfield transformation in Huangshi, China

**Authors:** Zhiping Liu, Yingxue Feng, Jing Li, Haoyu Tao, Zhen Liu, Xiaodan Li

PMC · DOI: 10.1038/s41598-024-66080-3 · 2024-06-28

## TL;DR

This paper proposes transforming unused urban land into emergency medical service parks to improve coverage and response times in Huangshi, China.

## Contribution

A novel 'consultation-referral' model and methodology for optimizing EMS systems using brownfield transformation.

## Key findings

- The current EMS coverage rate in Huangshi is 61.49%, with an inefficient spatial layout.
- Transforming brownfields into EMS parks increased coverage to 90.21% with transit times under 30 minutes.
- The proposed methodology includes demand assessment, supply optimization, and feasibility verification.

## Abstract

A comprehensive emergency medical service (EMS) system significantly enhances a city’s capacity to prevent and mitigate disasters. Using Huangshi as a case study, this research evaluated the service radium coverage rate of the current EMS system by examining its transport capacity, population density, and prevalence rate, finding it to be only 61.49% with an inefficient spatial layout. To address this, we proposed transforming urban brownfields into EMS parks. By selecting the most suitable brownfields based on capacity and service radius, we increased the coverage rate to 90.21%. We introduced a new "consultation-referral" model, where existing EMS facilities serve as pre-diagnosis and triage centers, and the urban brownfield EMS parks function as isolation and centralized treatment centers. GIS network analysis confirmed the feasibility, showing all transit times to be under 30 min. The methodology outlined in this study—comprising "demand assessment, supply optimization, and feasibility verification"—not only strengthens the city’s EMS system but also facilitates the renewal of urban brownfields. This approach can serve as a valuable reference for enhancing EMS systems in other cities.

## Full-text entities

- **Diseases:** infected (MESH:D007239), infectious disease (MESH:D003141), EMS (MESH:D004630), SARS (MESH:D045169), H1N1 influenza (MESH:D007251), COVID-19 (MESH:D000086382), fire (MESH:D000092422), cross-infection (MESH:D003428), polio (MESH:D011051), Ebola (MESH:D019142)
- **Species:** Zika virus (no rank) [taxon 64320], Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** S2 — Drosophila melanogaster (Fruit fly), Spontaneously immortalized cell line (CVCL_Z232)

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11213939/full.md

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Source: https://tomesphere.com/paper/PMC11213939