Designing mobile application messages to impact route choice: A survey and simulation study.

Area of Science:

• Human-Computer Interaction
• Transportation Engineering
• Social Psychology

Background:

• Crowd congestion at train stations during major sports events poses safety risks and degrades service quality.
• Guiding fans to less congested routes via smartphone applications can mitigate these issues.
• The effectiveness of such guidance relies heavily on the design of the messages delivered by the apps.

Purpose of the Study:

• To investigate how different message designs influence pedestrian adherence to route instructions.
• To determine the optimal combination of message components for reducing crowd congestion.
• To assess the potential of smartphone apps for improving safety and efficiency in public transport hubs.

Main Methods:

• An online survey was conducted with football fans and university affiliates.
• Route choices were analyzed based on variations in message components: top-down route views, real-time congestion data, and team spirit appeals.
• Computer simulations were used to model and evaluate congestion levels under different scenarios.

Main Results:

• Message design significantly impacts pedestrian route choices and willingness to follow instructions.
• Congestion reduction is most pronounced when users receive real-time congestion information.
• The social identity approach can inform message design for enhanced user engagement and adherence.

Conclusions:

• Smartphone apps, with carefully designed messages, can effectively manage crowd flow and reduce congestion at transport hubs.
• Real-time information is a critical component for influencing user behavior and optimizing route choices.
• The study's methodology is adaptable for evaluating app designs in various crowd management scenarios.