9:45 AM - 10:00 AM
[HTT15-04] The impact of Urban nodes on Smartphone Use While Walking: Focusing on Escalators in public Spaces
Keywords:Smartphone use while walking, Escalator, Regression analysis
1.Introduction
In recent years, walking while using a smartphone has become a significant social issue, frequently leading to accidents.
This behavior is particularly dangerous in crowded areas.
This study analyzes the relationship between smartphone use while walking and the surrounding environment, investigating the potential factors that may contribute to this behavior.
The aim is to propose measures to reduce accidents caused by smartphone use while walking.
2.Purpose of the study
This study focuses on locations where pedestrian traffic intersects.
It examines the factors contributing to the increase in smartphone use while walking.
It proposes countermeasures, combining external approaches, such as architectural design, with internal psychological approaches.
3.Trajectory Survey
A survey was conducted regarding which smartphone applications are used while walking.
The study targeted 40 men and women aged 20 to 50.
About half of the participants used social media, while 30% used map applications.
The study analyzed movement characteristics and causes of smartphone use while walking.
Pedestrian behavior was recorded on video, and the trajectories and avoidance behaviors of smartphone walkers were visualized.
Notably, queues formed before boarding the escalator and a high concentration of smartphone users were observed around these queues.
This suggests that escalators may influence the frequency of smartphone use while walking.
Based on the trajectory survey, areas around escalators were identified as key points of change in smartphone usage behavior.
The survey was conducted in four areas around JR Osaka Station.
Differences between two-person-width and one-person-width escalators were also considered.
Representative examples were taken from four scenes: morning ascent, morning descent, evening ascent, and evening decent.
Smartphone usage rates were found to be higher in the evening compared to the morning.
At Umekita Square, all smartphone users were stationary.
This suggests that it is potentially an environment where smartphone use while walking is likely to increase.
Of the 12 escalators examined, the top four showed an increase in smartphone use while walking.
A correlation was observed between escalators with high smartphone usage, and the high rate of smartphone use among stationary pedestrians.
4. Changes in Smartphone Use Due to Escalator Riding
Data was collected on smartphone use before, during, and after riding escalators to analyze how escalators influence smartphone usage.
The results showed that at night, people who stopped while riding the escalator tended to use their smartphones more frequently.
However, no significant differences were observed based on location.
From these findings, it was concluded that there is a correlation between the proportion of people who stop while riding escalators at night and the increase in smartphone use while walking.
5. Conclusion
This study examined the social impact of smartphone use while walking and the conditions under which escalators contribute to this behavior. Future research could enhance the practicality of these findings by incorporating additional variables, such as age groups, to analyze pedestrian behavior in more detail.
In recent years, walking while using a smartphone has become a significant social issue, frequently leading to accidents.
This behavior is particularly dangerous in crowded areas.
This study analyzes the relationship between smartphone use while walking and the surrounding environment, investigating the potential factors that may contribute to this behavior.
The aim is to propose measures to reduce accidents caused by smartphone use while walking.
2.Purpose of the study
This study focuses on locations where pedestrian traffic intersects.
It examines the factors contributing to the increase in smartphone use while walking.
It proposes countermeasures, combining external approaches, such as architectural design, with internal psychological approaches.
3.Trajectory Survey
A survey was conducted regarding which smartphone applications are used while walking.
The study targeted 40 men and women aged 20 to 50.
About half of the participants used social media, while 30% used map applications.
The study analyzed movement characteristics and causes of smartphone use while walking.
Pedestrian behavior was recorded on video, and the trajectories and avoidance behaviors of smartphone walkers were visualized.
Notably, queues formed before boarding the escalator and a high concentration of smartphone users were observed around these queues.
This suggests that escalators may influence the frequency of smartphone use while walking.
Based on the trajectory survey, areas around escalators were identified as key points of change in smartphone usage behavior.
The survey was conducted in four areas around JR Osaka Station.
Differences between two-person-width and one-person-width escalators were also considered.
Representative examples were taken from four scenes: morning ascent, morning descent, evening ascent, and evening decent.
Smartphone usage rates were found to be higher in the evening compared to the morning.
At Umekita Square, all smartphone users were stationary.
This suggests that it is potentially an environment where smartphone use while walking is likely to increase.
Of the 12 escalators examined, the top four showed an increase in smartphone use while walking.
A correlation was observed between escalators with high smartphone usage, and the high rate of smartphone use among stationary pedestrians.
4. Changes in Smartphone Use Due to Escalator Riding
Data was collected on smartphone use before, during, and after riding escalators to analyze how escalators influence smartphone usage.
The results showed that at night, people who stopped while riding the escalator tended to use their smartphones more frequently.
However, no significant differences were observed based on location.
From these findings, it was concluded that there is a correlation between the proportion of people who stop while riding escalators at night and the increase in smartphone use while walking.
5. Conclusion
This study examined the social impact of smartphone use while walking and the conditions under which escalators contribute to this behavior. Future research could enhance the practicality of these findings by incorporating additional variables, such as age groups, to analyze pedestrian behavior in more detail.