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Modeling pedestrian gap crossing index under mixed traffic condition.

Mohamed M Naser1, Adnan Zulkiple1, Walid A Al Bargi2

  • 1Faculty of Engineering Technology, University Malaysia Pahang, Malaysia.

Journal of Safety Research
|December 6, 2017
PubMed
Summary

Pedestrian safety is improved by a new model that predicts crossing behavior based on traffic gaps. Key factors influencing pedestrian decisions include age, vehicle type, and gap size, enhancing traffic management in developing countries.

Keywords:
Acceptable gapMid-blockModelingPedestrianRoad crossing

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Area of Science:

  • Traffic Engineering
  • Urban Planning
  • Road Safety

Background:

  • Pedestrians are highly vulnerable road users, facing significant risks, especially when crossing roads.
  • Accidents involving pedestrians are a major concern, necessitating improved traffic management strategies.
  • Existing traffic management systems often struggle with optimizing pedestrian flow and safety at uncontrolled crossings.

Purpose of the Study:

  • To develop a sustainable pedestrian gap crossing index model using traffic flow density.
  • To analyze pedestrian gap acceptance and crossing decisions.
  • To optimize pedestrian gap crossing behavior using the logarithm of accepted gaps (Log-Gap).

Main Methods:

  • Literature review to identify 15 influential variables.
  • Empirical data collection at an uncontrolled mid-block crossing in Kuala Lumpur, Malaysia.
  • Analysis using Multiple Linear Regression (MLR) and Binary Logit Model (BLM).

Main Results:

  • Four key variables significantly explain pedestrian road crossing behavior: age, rolling gap, vehicle type, and crossing.
  • Other variables showed insignificant effects on pedestrian crossing decisions.
  • A minimum gap size model was developed based on influential behavioral characteristics.

Conclusions:

  • Pedestrian decisions to cross roads are primarily influenced by their age, the rolling gap, vehicle type, and the available traffic gap.
  • The developed model provides insights into pedestrian behavior at uncontrolled mid-block crossings.
  • Findings can enhance pedestrian safety and evaluate the performance of crossings in developing nations.