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User perceptions and engineering definitions of highway level of service: an exploratory statistical comparison

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  • Choocharukul, Kasem
  • Sinha, Kumares C.
  • Mannering, Fred L.

Abstract

The level of service (LOS) concept in the Highway Capacity Manual has been used as a qualitative measure representing freeway operational conditions for over 35Â years. One key element that has not been adequately addressed is how road users perceive LOS. This exploratory research examines road-user perceptions of freeway LOS by presenting study participants with a series of video clips of various traffic conditions (taken from cameras on overpasses to allow a complete view of the traffic stream) and asking them their perceptions of LOS. A random effects ordered probability model is then used to statistically link participant-recorded perceptions of LOS with measurable traffic conditions (speed, density, flow, percentage of trucks, vehicle headways) and participant characteristics. The findings suggest that the Highway Capacity Manual's use of traffic density as a single performance measure for LOS does not accurately reflect road-user perceptions. The statistical analysis shows that a number of attributes besides traffic density determine public perceptions of LOS and that these perceptions vary depending on both traffic conditions and road-user characteristics.

Suggested Citation

  • Choocharukul, Kasem & Sinha, Kumares C. & Mannering, Fred L., 2004. "User perceptions and engineering definitions of highway level of service: an exploratory statistical comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 677-689.
  • Handle: RePEc:eee:transa:v:38:y:2004:i:9-10:p:677-689
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    Cited by:

    1. Rahul, T.M. & Manoj, M., 2020. "Categorization of pedestrian level of service perceptions and accounting its response heterogeneity and latent correlation on travel decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 40-55.
    2. Sharifi, Mohammad Sadra & Christensen, Keith & Chen, Anthony & Song, Ziqi, 2019. "Exploring effects of environment density on heterogeneous populations’ level of service perceptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 115-127.
    3. Chakroborty, Partha & Pinjari, Abdul Rawoof & Meena, Jayant & Gandhi, Avinash, 2021. "A Psychophysical Ordered Response Model of Time Perception and Service Quality: Application to Level of Service Analysis at Toll Plazas," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 44-64.
    4. Rowangould, Gregory, 2013. "Public financing of private freight rail infrastructure to reduce highway congestion: A case study of public policy and decision making in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 25-36.
    5. Jou, Rong-Chang & Kou, Cheng-Chen & Chen, Yi-Wen, 2013. "Drivers’ perception of LOSs at signalised intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 141-154.
    6. Khoo, Hooi Ling & Asitha, K.S., 2016. "An impact analysis of traffic image information system on driver travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 175-194.

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