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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Published on: January 20, 2023

Quantifying traffic exposure.

Gregory C Pratt1, Kris Parson1, Naomi Shinoda2

  • 1Minnesota Pollution Control Agency, St. Paul, Minnesota, USA.

Journal of Exposure Science & Environmental Epidemiology
|September 19, 2013
PubMed
Summary
This summary is machine-generated.

Living near traffic negatively impacts health. A new traffic density metric, using kernel density calculations, offers a comprehensive way to assess traffic exposure and its health effects.

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Last Updated: May 7, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
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Area of Science:

  • Environmental health
  • Geographic Information Systems (GIS)
  • Exposure science

Background:

  • Proximity to traffic is linked to adverse health outcomes.
  • Existing traffic exposure metrics have limitations.
  • Accurate assessment of traffic exposure is crucial for public health research.

Purpose of the Study:

  • To introduce a novel traffic density metric using GIS and kernel density calculations.
  • To evaluate this new metric's effectiveness in assessing integrated traffic exposure.
  • To provide a versatile tool for environmental health studies.

Main Methods:

  • Utilized Geographic Information System (GIS) software.
  • Employed traffic count data and kernel density calculations.
  • Developed a 50-meter resolution traffic density surface using a Gaussian algorithm (300m influence).

Main Results:

  • The new metric integrates traffic effects from all nearby roads within a specified distance.
  • Traffic density values reflect the combined impact of traffic volume and proximity.
  • The Gaussian algorithm effectively models traffic influence up to 300 meters.

Conclusions:

  • The developed traffic density surface provides a robust method for assessing integrated traffic exposure.
  • This metric favorably compares with existing exposure assessment tools.
  • The traffic density surface has broad applications in environmental health and exposure science.