Crash histories, safety perceptions, and attitudes among Virginia bicyclists

Robartes, Erin; Chen, T. Donna

doi:10.1016/j.jsr.2018.10.009

Cited by 15 publications

(9 citation statements)

References 21 publications

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“…Surveys have been widely used as methods of studying bicyclists and pedestrians, particularly when faced with a lack of observational data. Surveys, when composed carefully, can reliably and efficiently assess large populations of people and have been used to study a wide variety of topics including perceived safety and comfort [31,32], route choice [33], and crash history [34,35]. However, stated preference surveys have limitations such as being subject to hypothetical bias, where responses to hypothetical situations are not the same as they would be in real-world situations [36].…”

Section: Surveys and Observational Studiesmentioning

confidence: 99%

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior through Immersive Virtual Environments

Guo

Angulo

Robartes

et al. 2022

Journal of Advanced Transportation

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Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on the rise. To better inform design for vulnerable road users, we need to evaluate how bicyclist and pedestrian behavior and physiological states change in different roadway design and contextual settings. Previous research highlights the advantages of using immersive virtual environments (IVEs) in conducting bicyclist and pedestrian studies. These environments do not put participants at risk of injury, are low cost compared to on-road or naturalistic studies, and allow researchers to fully control variables of interest. In this paper, we propose a framework, Omni-Reality and Cognition Lab Simulator (ORCLSim), to support human sensing techniques within IVEs to evaluate bicyclist and pedestrian physiological and behavioral changes in different contextual settings. To showcase this framework, we present two case studies, where pilot data from five participants’ physiological and behavioral responses in an IVE setting are collected and analyzed, representing real-world roadway segments and traffic conditions. Results from these case studies indicate that physiological data are sensitive to road environment changes and real-time events in the IVE, especially changes in heart rate and gaze behavior. In addition, our preliminary data indicate participants may respond differently to various roadway settings (e.g., signalized vs. unsignalized intersections). By analyzing these changes, future studies can identify how participants’ stress level and cognitive load are impacted by the surrounding environment. The ORCLSim system architecture is a prototype that can be customized for future studies in understanding users’ behavioral and physiological responses in virtual reality settings.

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Section: Surveys and Observational Studiesmentioning

confidence: 99%

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior through Immersive Virtual Environments

Guo

Angulo

Robartes

et al. 2022

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

show abstract

“…Surveys have been widely used as methods of studying bicyclists and pedestrians, particularly when faced with a lack of real-world data. Surveys, when composed carefully, can reliably and efficiently assess large populations of people and have been used to study a wide variety of topics including: perceived safety/comfort (Parkin et al 2007;Chaurand and Delhomme 2013;Abadi and Hurwitz 2018), route choice (Sener et al 2009) and crash history (Robartes and Chen 2018;Poulos et al 2012;Yang et al 2019). However, stated preference surveys have limitations, such as being subject to hypothetical bias where responses to hypothetical situations are not the same as they would be in real-world situations (Fitch and Handy 2018).…”

Section: Surveys and Observational Studiesmentioning

confidence: 99%

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior Through Immersive Virtual Environments

Guo,

Angulo,

Robartes

et al. 2021

Preprint

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Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on the rise. To better inform design for vulnerable road users, we need to conduct more studies to evaluate how bicyclist and pedestrian behavior and physiological states change in different roadway designs and contextual settings. Previous research highlights the advantages of Immersive Virtual Environment (IVE) in conducting bicyclist and pedestrian studies. These environments do not put participants at risk of getting injured, are low-cost compared to on-road or naturalistic studies and allow researchers to fully control variables of interest. In this paper, we propose a framework ORCLSim, to support human sensing techniques within IVE to evaluate bicyclist and pedestrian physiological and behavioral changes in different contextual settings. To showcase this framework, we present two case studies where we collect and analyze pilot data from five participants' physiological and behavioral responses in an IVE setting, representing real-world roadway segments and traffic conditions. Results from these case studies indicate that physiological data is sensitive to road environment changes and real-time events, especially changes in heart rate and gaze behavior. Additionally, our preliminary data indicates participants may respond differently to various roadway settings (e.g., intersections with or without traffic signal). By analyzing these changes, we can identify how participants' stress levels and cognitive load is impacted by the simulated surrounding environment. The ORCLSim system architecture can be further utilized for future studies in users' behavioral and physiological responses in different virtual reality settings.

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“…Finally, (maybe) the most important factor concerning cyclists' actual safety is cycling infrastructures [8,9,[12][13][14]. Robartes and Chen [15] conclude that roads with cycle tracks or exclusive cycle lanes ensure greater safety levels than roads with shared or no cycling infrastructure.…”

Section: Factors Influencing Cycling Routesmentioning

confidence: 99%

Exploring Motivators and Deterrents of Cycling Tourism Using Qualitative Social Research Methods and Participative Analytical Hierarchy Process (AHP)

et al. 2020

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Cycling tourism is an environmentally friendly way to explore a destination. Nowadays, it is becoming more and more popular worldwide, since it permits an in-depth communication both with nature and people. In this context, the aim of this paper is to explore, in detail, mainly the environmental motivators of cycling tourists, and their significance, in Greece, by using qualitative social research (in-depth interviews and focus groups) and participative analytical hierarchical process. The results show that regarding physical environment, the element which attracts cycle tourists the most is the variety of scenic views along their route. Existence of lakes, rivers and beaches were also valued. On the contrary, “Biodiversity” and “Untouched natural landscapes” were ranked low as a description of the quality of the natural environment. However, the rise of cycling tourism depends considerably on the appropriate infrastructure, namely roads with low slopes, appropriate quality of surfaces and cycling infrastructure. Planners, policy-makers, and competent authorities should give emphasis on the critical factors in order to enhance cycling tourism, thus resulting in positive multiplying effects such as environmental protection and economic growth.

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Crash histories, safety perceptions, and attitudes among Virginia bicyclists

Cited by 15 publications

References 21 publications

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior through Immersive Virtual Environments

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior through Immersive Virtual Environments

ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior Through Immersive Virtual Environments

Exploring Motivators and Deterrents of Cycling Tourism Using Qualitative Social Research Methods and Participative Analytical Hierarchy Process (AHP)

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