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Austin EMS Response Time Map

This is a 2D EMS response time visualization map for Austin, Texas.

Structure

  • index.html - Main HTML file with Leaflet map
  • assets/css/ - CSS styling files
    • style.css - Base styles
    • emsMap.css - EMS map specific styles
  • assets/js/ - JavaScript files
    • emsMap2d.js - Main map logic and EMS data loading
  • assets/images/ - Image assets
    • ems_icon.png - Icon for the map
  • respones_time_BG.geojson - EMS response time data (block group level)
  • run_server.sh - Script to start local server

Running the Website

Important: You must run a local HTTP server to view this website due to CORS restrictions.

Option 1: Using the provided script

./run_server.sh

Option 2: Using Python

python3 -m http.server 8000

Option 3: Using Node.js

npx http-server -p 8000

Then open your browser and navigate to:

http://localhost:8000

Data Source

The map visualizes EMS response time data from the EMS_Project research:

  • Response times aggregated to block group level
  • Demographic variables (income, poverty, unemployment, race)
  • Infrastructure variables (road density, structure age, EMS distance)
  • Traffic event variables (crash patterns, time distributions)
  • Environmental variables (weather, seasonality)

Features

  • Interactive choropleth map showing response time by block group
  • Color-coded legend (blue = fast, red = slow)
  • Detailed popup information including:
    • Block group identifier
    • Average response time in seconds and minutes
    • Demographic information (income, population, poverty rate)
  • Hover effects for better interactivity

Technology Stack

  • Leaflet - for 2D mapping
  • jQuery - for modal functionality
  • Bootstrap - for UI components

Research Background

This visualization is part of a research project analyzing EMS response times in Travis County, Texas. The research uses:

  • Geographically Weighted Regression (GWR)
  • Random Forest models
  • Geographically Weighted Random Forest (GWRF)
  • Spatial analysis techniques

The goal is to identify spatial patterns in EMS response times and understand contributing factors.

CORS Error Fix

If you see a CORS error in the browser console, it means you're trying to open the HTML file directly from the file system. To fix this, you need to run a local HTTP server using one of the methods above.

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