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Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India

Author

Listed:
  • Rituraj Neog

    (Dibrugarh University)

  • Shukla Acharjee

    (Dibrugarh University)

  • Jiten Hazarika

    (Dibrugarh University)

Abstract

The study analyzed the pattern of building wall temperature (BWT) and road surface temperature (RST) in both urban and suburban area and its relation to traffic volume at Jorhat municipal area. The surface temperature pattern is assessed using the FLIR TG-165 spot thermal imaging camera and HTC MT-4 IR thermometer, while traffic volume is investigated through schedule survey and video recording over the selected urban roads. The study revealed a positive correlation between traffic volumes with BWT and RST, though the correlation is quite stronger with RST. The higher positive relationship between traffic volume and RST has been noticed mostly in the shadowing part of the surface, whereas on the other hand, the relationship pattern of BWT with traffic volume is also found noticeably higher at the shadowed part of the surface. In both analyses, the relationship between traffic with RST and BWT is identified as remarkably stronger at midday and afternoon period. The urban areas with maximum traffic congestion are identified as accountable for the higher BWT and RST.

Suggested Citation

  • Rituraj Neog & Shukla Acharjee & Jiten Hazarika, 2021. "Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10080-10092, July.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:7:d:10.1007_s10668-020-01047-8
    DOI: 10.1007/s10668-020-01047-8
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    References listed on IDEAS

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