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Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: The Case of Boston, Massachusetts

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  • Raford, Noah
  • Ragland, David

Abstract

This paper examines three types of pedestrian volume models in light of their usefulness for estimating pedestrian exposure for pedestrian safety research. The need for pedestrian flow data as part of pedestrian exposure and safety analysis is outlined, and the background of each type of model is discussed. It then selects the space syntax network analysis model to estimate pedestrian volumes for the city of Boston, Massachusetts. It was found that the model was able to accurately predict pedestrian flows (r-squared 0.81, p-value

Suggested Citation

  • Raford, Noah & Ragland, David, 2006. "Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: The Case of Boston, Massachusetts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt61n3s4zr, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt61n3s4zr
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    File URL: https://www.escholarship.org/uc/item/61n3s4zr.pdf;origin=repeccitec
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    1. Raford, Noah & Ragland, David R, 2003. "Space Syntax: An Innovative Pedestrian Volume Modeling Tool for Pedestrian Safety," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt50m064zp, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Singleton, Patrick A. & Park, Keunhyun & Lee, Doo Hong, 2021. "Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Crispin H. V. Cooper & Ian Harvey & Scott Orford & Alain J. F. Chiaradia, 2021. "Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows," Transportation, Springer, vol. 48(2), pages 643-672, April.

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