Mobile phone conversations, listening to music and quiet (electric) cars: Are traffic sounds important for safe cycling?

Stelling-Konczak, A; Wee, G.P. van; Commandeur, Jacques J.F.; Hagenzieker, Marjan

doi:10.1016/j.aap.2017.05.014

Cited by 33 publications

(18 citation statements)

References 34 publications

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“…This is in agreement with other studies on cyclists (Ahlstrom et al 2016;Stelling-Konczak et al 2018) as well as on pedestrians (Hyman et al 2010;. On the top of the list of self-reported behaviour adaptations, as a means to compensate for the loss of auditory information, is increased visual attention (Adell et al 2014;Stelling-Konczak et al 2017). Stelling- Konczak et al (2018) found that 21% of the cyclists increased and 57% decreased their visual scanning to the right in intersections, when listening to music.…”

Section: Discussionsupporting

confidence: 88%

“…A limitation with most of these studies is that the participants were not allowed to choose how to integrate the mobile phone task with the cycling task. For example, the cyclists claim that they look around more frequently when using their mobile phone, that they do not use their devices in demanding situations and that they sometimes use one earbud instead of two (Goldenbeld et al 2012;Stelling-Konczak et al 2017). Despite these self-reported claims, observational studies report that cyclists who use their phones make fewer head movements to the right than cyclists who were only cycling (de Waard et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Bicyclists’ adaptation strategies when interacting with text messages in urban environments

et al. 2018

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Cyclists' use of mobile phones in traffic has typically been studied in controlled experiments. How cyclists adapt their behaviour when they are not limited to a certain set of behaviours has not been investigated to any large extent. The aims of this study are to explore how cyclists adapt when texting and listening to music in a complex urban environment, and if they compensate sufficiently to maintain safe traffic behaviour. Forty-one cyclists participated in a semi-controlled study, using their own bike and smartphone in real traffic. They were equipped with eye tracking glasses and travelled two laps completing a total of 6 km divided into six segments. For one of the laps, the cyclists were requested to listen to music. On three occasions, they received a text message to their phone, which they were supposed to handle as they normally would when cycling. Static minimum required attention measures were used to examine the influence on attention. The results show that listening to music while cycling did not affect workload, speed, SMS interaction or attention. Seven different adaptation behaviours were identified when the cyclists dealt with received text messages. One-fourth of the text messages were replied to while cycling. In general, the cyclists manage to integrate SMS interactions with their cycling behaviour. Nevertheless, there were two occasions when basic attention criteria were violated while texting, which motivate further studies.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

et al. 2018

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“…In addition, there are some other riding behaviors which can also become safety hazards in traffic accidents. For example, Stelling et al [59] studied the auditory perception during collisions and accidents of cyclists when they listened to music or made phone calls [41]. The results showed that listening to music and talking on the phone had negative effects on cyclists’ hearing and attention, and there was a greater risk of traffic accidents.…”

Section: Analysis Of Risky Riding Behavior Characteristics and Infmentioning

confidence: 99%

Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Yang

Zhou

et al. 2019

IJERPH

101

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In order to clearly understand the risky riding behaviors of electric bicycles (e-bikes) and analyze the riding characteristics, we review the research results of the e-bike risky riding behavior from three aspects: the characteristics and causes of e-bike accidents, the characteristics of users’ traffic behavior, and the prevention and intervention of traffic accidents. The analysis results show that the existing research methods on risky riding behavior of e-bikes mainly involve questionnaire survey methods, structural equation models, and binary probability models. The illegal occupation of motor vehicle lanes, over-speed cycling, red-light running, and illegal manned and reverse cycling are the main risky riding behaviors seen with e-bikes. Due to the difference in physiological and psychological characteristics such as gender, age, audiovisual ability, responsiveness, patience when waiting for a red light, congregation, etc., there are differences in risky cycling behaviors of different users. Accident prevention measures, such as uniform registration of licenses, the implementation of quasi-drive systems, improvements of the riding environment, enhancements of safety awareness and training, are considered effective measures for preventing e-bike accidents and protecting the traffic safety of users. Finally, in view of the shortcomings of the current research, the authors point out three research directions that can be further explored in the future. The strong association rules between risky riding behavior and traffic accidents should be explored using big data analysis. The relationships between risk awareness, risky cycling, and traffic accidents should be studied using the scales of risk perception, risk attitude, and risk tolerance. In a variety of complex mixed scenes, the risk degree, coupling characteristics, interventions, and the coupling effects of various combination intervention measures of e-bike riding behaviors should be researched using coupling theory in the future.

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“…Our findings suggest the need for intervention studies to monitor several certain groups of users, such as students, smartphone gamers, and smartphone music listeners, especially when crossing a street. Moreover, there is an urgent need for music listeners to be aware of the increasing number of quiet electric vehicles [22] that may constitute a silent hazard.…”

Section: Discussionmentioning

confidence: 99%

Pedestrian smartphone overuse and inattentional blindness: an observational study in Taipei, Taiwan

Chen

Pai

2018

BMC Public Health

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BackgroundSmartphone addiction has become a crucial social issue. Past studies have indicated that phone use such as talking or texting while walking constitutes a dual task that may cause pedestrians inattentional blindness and impair their awareness of surroundings.MethodsThis study investigated the influence of various smartphone tasks (calling, music listening, texting, playing games, and web surfing) on the smartphone overuse and inattentional blindness of pedestrians in Taipei, Taiwan. Pedestrian smartphone overuse was observed and recorded via WiFi cameras to determine whether pedestrians were using their smartphones when crossing a street with a signal. After crossing the street, pedestrians were interviewed to obtain additional information regarding demographics, smartphone tasks, data plan, and screen size. Pedestrians were classified into the case (distracted) and control (undistracted) groups. By determining whether pedestrians saw something unusual—a clown walking the opposite direction—and heard the national anthem played by the clown, inattentional blindness and deafness were examined. Pedestrians’ situational awareness was assessed by ascertaining whether they remembered how many seconds remained before the crossing signal upon arriving at the curb.ResultsIn total, 2556 pedestrians crossed the street and underwent the interview. Smartphone overuse and inattentional deafness were the commonest among music listeners. Playing Pokémon Go gaming was the task most associated with inattentional blindness. Logistic regression models revealed that contributing factors to smartphone overuse and inattentional blindness were a large smartphone screen (≥5 in), unlimited mobile Internet data, and being a student. The interactions of gaming with being a student and with unlimited data were significantly associated with smartphone overuse, inattentional blindness and deafness, and situational awareness.ConclusionsListening to music was the smartphone task most associated with pedestrian smartphone overuse and inattentional deafness. Pokémon Go was the most associated task with inattentional blindness and reduced situational awareness.

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Mobile phone conversations, listening to music and quiet (electric) cars: Are traffic sounds important for safe cycling?

Cited by 33 publications

References 34 publications

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Pedestrian smartphone overuse and inattentional blindness: an observational study in Taipei, Taiwan

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