Examining the Impacts of Land Use on Air Quality in Chicago: Application of Street View Imagery and Hyperlocal Urban Climate Sensing

Urban climate sensors are being installed in cities all over the world in order to proactively address the growing issues posed by climate change and to monitor air quality in real time. This study focuses on the City of Chicago and evaluates air quality using Microsoft's recently released Project Eclipse sensors. Using a combination of conventional land use extraction methods and street view data from Google Street View (GSV), land use features close to the sensor locations were recovered. The distinctive qualities of street view photos were examined and spatial data was broken down using principal component analysis (PCA). In order to investigate the variables affecting air quality, the study also used SHapley Additive exPlanations (SHAP) and XGBoost machine learning regression. It is recommended that the built environment and land use in this area be addressed by the city and local authorities in order to mitigate future dangers.

Language

• English

Project

• Status: Active
• Funding: $34,335.00
• Contract Numbers:

  69A3551747135

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Cooperative Mobility for Competitive Megaregions (CM2)

  University of Texas at Austin
  Austin, TX  United States  78712
• Principal Investigators:

  Jiao, Junfeng

• Start Date: 20210901
• Expected Completion Date: 20230831
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Air quality; Environmental impacts; Environmental monitoring; Image analysis; Land use; Machine learning; Sensors; Urban areas
• Identifier Terms: Google Street View
• Geographic Terms: Chicago (Illinois)
• Subject Areas: Data and Information Technology; Environment; Transportation (General);

Filing Info

• Accession Number: 01937929
• Record Type: Research project
• Source Agency: Cooperative Mobility for Competitive Megaregions (CM2)
• Contract Numbers: 69A3551747135
• Files: UTC, RIP
• Created Date: Nov 23 2024 11:00AM