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Urban road network design for alleviating residential exposure to traffic pollutants: Super-block or Mini-block?

  • Xing Zheng
  • , Jiachuan Yang*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study addresses the knowledge gap between urban road network design and residents’ exposure to traffic pollutants. Computational fluid dynamics (CFD) simulations are employed to evaluate three representative design strategies: (1) Mini-block with 1-lane roads in high density; (2) Regular-block with 2-lane roads in median density; and (3) Super-block with 4-lane roads in low density. Daily activities of different age groups are considered to examine the vulnerable population, using the personal intake fraction (PIg, ppm) that represents the emitted pollutant inhaled averagely by each resident. By changing from Super-block to Mini-block, the outdoor PIg decreases for the young and adult groups, but remains largely unchanged for the elderly group. The indoor PIg is given for individual building levels. The Mini-block leads to a relatively uniform distribution of indoor PIg and the value goes up to 0.251 ppm for the elderly group. For the Regular-block and Super-block, residents living in buildings with a long roadside façade tend to bear an unequal level of pollutant burden. With the Super-block, elderly residents in 25% of the buildings have an high indoor PIg with the maximum value of 0.554 ppm, nearly four times larger than that of 0.121 ppm in buildings not close to the roads. The results can serve as a basis for supporting the new design and urban redevelopment to improve neighborhood liveability.

© 2022 Elsevier Ltd. All rights reserved
Original languageEnglish
Article number104327
JournalSustainable Cities and Society
Volume89
Online published28 Nov 2022
DOIs
Publication statusPublished - Feb 2023
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Hong Kong Research Grants Council funded project 26202319 . The numerical simulation for this article was supported by the supercomputer services at the Hong Kong University of Science and Technology and the National Tianhe-2 center in Guangzhou, P.R. China.

Publisher Copyright:
© 2022 Elsevier Ltd

Funding

This work was supported by the Hong Kong Research Grants Council funded project 26202319 . The numerical simulation for this article was supported by the supercomputer services at the Hong Kong University of Science and Technology and the National Tianhe-2 center in Guangzhou, P.R. China.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Computational fluid dynamics
  • Intake fraction
  • Large-eddy simulation
  • Pollutant dispersion
  • Street network design
  • Traffic management
  • Traffic planning
  • Urban air quality
  • Urban planning
  • Vehicular emissions

RGC Funding Information

  • RGC-funded

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