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Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

Author

Listed:
  • Zahra Nourmohammadi

    (Department of Industrial Engineering, Sharif University of Technology, Tehran 14588-9694, Iran)

  • Tanapon Lilasathapornkit

    (Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia)

  • Mudabber Ashfaq

    (Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia)

  • Ziyuan Gu

    (Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia)

  • Meead Saberi

    (Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia)

Abstract

Measuring urban environmental performance supports understanding and improving the livability and sustainability of a city. Creating a more livable and attractive environment facilitates a greater shift to active and greener transport modes. Two key aspects, among many others, that determine the environmental performance of an urban area are greenery and noise. This study aims to map street-level greenery and traffic noise using emerging data sources including crowd-sourced mobile phone-based data and street-level imagery data in Sydney, Australia. Results demonstrate the applicability of emerging data sources and the presented advanced techniques in capturing the seasonal variations in urban greenery and time-dependent nature of traffic noise. Results also confirm the presence of a negative correlation between urban greenery and traffic noise.

Suggested Citation

  • Zahra Nourmohammadi & Tanapon Lilasathapornkit & Mudabber Ashfaq & Ziyuan Gu & Meead Saberi, 2021. "Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:605-:d:477900
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    References listed on IDEAS

    as
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    Cited by:

    1. Judicaël Picaut & Ayoub Boumchich & Erwan Bocher & Nicolas Fortin & Gwendall Petit & Pierre Aumond, 2021. "A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment," IJERPH, MDPI, vol. 18(15), pages 1-41, July.

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