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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.
Transportation Research. Part C, Emerging Technologies
|August 25, 2025
Summary
Transportation hubs can fund improvements by using pedestrian traffic for commerce. This study models consumer behavior
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.
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