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Corticospinal Excitability Modulation During Action Observation
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Microscopic modeling of attention-based movement behaviors.

Danrui Li1, Mathew Schwartz1, Samuel S Sohn1

  • 1Rutgers, the State University of New Jersey, 110 Frelinghuysen Rd, Piscataway, 08854, NJ, USA.

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Summary

Transportation hubs can fund improvements by using pedestrian traffic for commerce. This study models consumer behavior

Keywords:
Architectural designPedestrian dynamicsRetail environmentTransportation hubsVisual attention

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Area of Science:

  • Urban planning
  • Computational social science
  • Behavioral economics

Background:

  • Transportation hubs face funding challenges for infrastructure maintenance.
  • Commercial activities in hubs can disrupt pedestrian flow and efficiency.
  • Optimizing retail potential and pedestrian movement is complex due to human behavior.

Purpose of the Study:

  • To develop a model simulating pedestrian dynamics in transportation hub retail areas.
  • To analyze the impact of design features on retail potential and pedestrian efficiency.
  • To balance commercial opportunities with efficient pedestrian movement.

Main Methods:

  • Introduction of an attention-based movement model.
  • Simulation of retail potential based on visual attention duration.
  • Measurement of pedestrian efficiency through walking speed loss.

Main Results:

  • Design features significantly influence both retail potential and pedestrian efficiency.
  • The model quantifies the trade-offs between commercial activity and pedestrian flow.
  • Expert judgment was used to inform strategic planning of layout and dimensions.

Conclusions:

  • An attention-based model can effectively simulate complex pedestrian dynamics in transportation hubs.
  • Strategic design of store layout and facility dimensions is crucial for optimizing hub functionality.
  • Balancing commercial needs with pedestrian flow is achievable through informed design.