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Determining an influencing area affecting walking speed on footpath: A case study of a footpath in CBD Bangkok, Thailand

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  • Tipakornkiat, Chalat
  • Limanond, Thirayoot
  • Kim, Hyunmyung

Abstract

Intuitively, the crowd density in front of a pedestrian will affect his walking speed along a footpath. Nevertheless, the size of the influencing area affecting walking speed has rarely been scrutinized in the past. This study attempts to determine the distance in front of pedestrians that principally affects their walking speed under normal conditions, using a case study of a footpath in Bangkok. We recorded pedestrian activities along a test section of 20 m, with an effective walking width of 2.45 m in the morning and at noon. The morning dataset was extracted for analyzing various influencing distances, ranging from 1 to 20 m in front of the pedestrian. The bi-directional walking speed–pedestrian density models were developed, for each tested distance, using linear regression analysis. It was found that an influencing length in the range of 5–8 m yields the highest correlation coefficients. In the case of high density conditions, the walking speed of the equally-split flow (50:50) was found to be higher than other proportional flow analyzed. The finding has useful implications on the improvement of the walking simulations in mesoscopic models.

Suggested Citation

  • Tipakornkiat, Chalat & Limanond, Thirayoot & Kim, Hyunmyung, 2012. "Determining an influencing area affecting walking speed on footpath: A case study of a footpath in CBD Bangkok, Thailand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5453-5464.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:22:p:5453-5464
    DOI: 10.1016/j.physa.2012.06.001
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    References listed on IDEAS

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    Cited by:

    1. Pueboobpaphan, Rattaphol & Pueboobpaphan, Suthatip & Sukhotra, Suthasinee, 2022. "Acceptable walking distance to transit stations in Bangkok, Thailand: Application of a stated preference technique," Journal of Transport Geography, Elsevier, vol. 99(C).
    2. Bosina, Ernst & Weidmann, Ulrich, 2017. "Estimating pedestrian speed using aggregated literature data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 1-29.
    3. Mondal, Satyajit & Gupta, Ankit, 2021. "Speed distribution for interrupted flow facility under mixed traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).

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