Distracted mobile device use among street-crossing college student pedestrians: an observational approach

Piazza, Andrew J.; Knowlden, Adam P.; Hibberd, Elizabeth E.; Leeper, James D.; Paschal, Angelia M.; Usdan, Stuart

doi:10.1080/07448481.2020.1845182

Cited by 6 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Especially the latter has led to an increase in smartphonerelated accidents among pedestrians in recent years (Nasar and Troyer, 2013;Ren et al, 2021). Between 8 (Zhou et al, 2019) and 42% (Wells et al, 2018) of pedestrians were observed to cross the street while using a smartphone depending on the country and observation site, with most studies ranging from 20 to 30% (Vollrath et al, 2019;Solah et al, 2016;Horberry et al, 2019;Thompson et al, 2013;Piazza et al, 2020;Fernandez et al, 2020). Among all smartphone-related activities, a systematic review across 14 studies found that texting has the largest effects on pedestrians' behavior (Simmons et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Intelligent Mobility in the City: The Influence of System and Context Factors on Drivers’ Takeover Willingness and Trust in Automated Vehicles

Lanzer¹,

Stoll²,

Colley

et al. 2021

Front. Hum. Dyn.

View full text Add to dashboard Cite

Automated driving in urban environments not only has the potential to improve traffic flow and heighten driver comfort but also to increase traffic safety, particularly for vulnerable road users such as pedestrians. For these benefits to take effect, drivers need to trust and use automated vehicles. This decision is influenced by both system and context factors. However, it is not yet clear how these factors interact with each other, especially for automated driving in city scenarios with crossing pedestrians. Therefore, we conducted an online experiment in which participants (N = 68) experienced short automated rides from the driver’s perspective through an urban environment. In each of the presented videos, a pedestrian crossed the street in front of the automated vehicle while system and context factors were varied: 1) the crossing pedestrian’s intention was either visualized correctly (as crossing) or incorrectly (visualization missing) by the automated vehicle (system factor), 2) the pedestrian was either distracted by using a smartphone while crossing or not (context factor), and 3) the scenario was either more or less complex depending on the number of other vehicles and pedestrians being present (context factor). In situations with a system malfunction where the crossing pedestrian’s intention was not visualized, participants perceived the situation as more critical, had less trust in the automated system, and a higher willingness to take over control regardless of any context factors. However, when the system worked correctly, the crossing pedestrian’s smartphone usage came into play, especially in the less complex scenario. Participants perceived situations with a distracted pedestrian as more critical, trusted the system less, indicated a higher willingness to take over control, and were more uncertain about their decision. As this study demonstrates the influence of distracted pedestrians, more research is needed on context factors and their inclusion in the design of interfaces to keep drivers informed during automated driving in urban environments.

show abstract

Section: Introductionmentioning

confidence: 99%

Intelligent Mobility in the City: The Influence of System and Context Factors on Drivers’ Takeover Willingness and Trust in Automated Vehicles

Lanzer¹,

Stoll²,

Colley

et al. 2021

Front. Hum. Dyn.

View full text Add to dashboard Cite

show abstract

“…No conclusive evidence has been found concerning gender and distracted walking. White et al (17), Nasar and Troyer (47), and Lin et al (48) stated that men participate in distracting activities more often, whereas Solah et al (49), Perra and Basbas (50), Piazza et al (51), and Haolan et al (52) disagreed. Most studies argue that younger people are more prone to distraction when walking than older people (14,48,(53)(54)(55).…”

mentioning

confidence: 99%

Psychological Factors Influencing College Students’ Mobile Phone Use While Walking

Liu,

Wei,

Zhu

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The likelihood of pedestrians exhibiting aberrant walking behaviors and being involved in traffic collisions increases substantially if they are distracted while walking because of using their mobile phones. To reduce the frequency with which pedestrians use their phones while walking, a detailed analysis of the elements that influence this behavior is required. This research studied people’s behavior and behavioral intentions to use mobile phones while walking, using an expanded version of the theory of planned behavior. Four hundred sixty-three college students completed an online survey that assessed attitudes and behaviors related to mobile phone use. The results showed that attitude, perceived behavioral control, mobile phone addiction, crash history, and prototype similarity significantly affected behavioral intentions, whereas subjective norms, descriptive norms, perceived risk, and prototype favorability did not. In addition, behavioral intentions, perceived behavioral control, mobile phone addiction, and crash history had significant impacts on behavior, whereas perceived risk did not. The results from this study could be utilized to develop interventions to reduce the frequency with which college students use their mobile phones while walking, which is essential for improving road safety.

show abstract

Distracted pedestrian behavior: An observational study of risk by situational environments

Schwebel

Canter

Hasan

et al. 2022

Traffic Injury Prevention

View full text Add to dashboard Cite

Distracted mobile device use among street-crossing college student pedestrians: an observational approach

Cited by 6 publications

References 31 publications

Intelligent Mobility in the City: The Influence of System and Context Factors on Drivers’ Takeover Willingness and Trust in Automated Vehicles

Intelligent Mobility in the City: The Influence of System and Context Factors on Drivers’ Takeover Willingness and Trust in Automated Vehicles

Psychological Factors Influencing College Students’ Mobile Phone Use While Walking

Distracted pedestrian behavior: An observational study of risk by situational environments

Contact Info

Product

Resources

About