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Exploiting COVID-19 related traffic changes to evaluate flow dependency of an FCD-defined congestion measure

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  • Megan M Bruwer
  • Simen J Andersen

Abstract

Traffic congestion poses a significant problem in urban areas globally, and yet no measure of congestion is universally applied. Various studies have evaluated congestion measures, however, none have identified and demonstrated a best-practice congestion metric that can compare congestion between road segments, networks, and city zones. Furthermore, no studies have proven the link between a congestion metric and traffic flow, despite suggestion by Lomax et al. in their seminal 1997 Quantifying Congestion report that an appropriate congestion metric should vary predictably according to flow. This paper aims to address these gaps in traffic congestion literature. Various congestion measures are evaluated according to standard criteria. Although this process has been followed before, this paper adds a unique criterion that requires congestion to be quantifiable from commercial floating car data (FCD), due to its extensive availability and relative affordability. The most appropriate congestion measure is evaluated to be the speed reduction index (SRI). The application of the SRI to describe spatiotemporal congestion patterns and flow dependency is then demonstrated in a case-study analysis in South Africa. This analysis exploited traffic impacts of the COVID-19 pandemic in 2020 (particularly, the stepwise increase from severely reduced traffic flows as lockdown levels eased), to evaluate SRI. The wide range of flows enabled an unprecedented regression analysis comparing congestion level and flow. The results of the regression analysis are highly significant ( p

Suggested Citation

  • Megan M Bruwer & Simen J Andersen, 2023. "Exploiting COVID-19 related traffic changes to evaluate flow dependency of an FCD-defined congestion measure," Environment and Planning B, , vol. 50(8), pages 2220-2237, October.
    • Handle: RePEc:sae:envirb:v:50:y:2023:i:8:p:2220-2237
    DOI: 10.1177/23998083221081529
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    References listed on IDEAS

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    1. Tanzina Afrin & Nita Yodo, 2020. "A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System," Sustainability, MDPI, vol. 12(11), pages 1-23, June.
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