Sensing comfort in bicycling in addition to travel data

Berger, Martin; Dörrzapf, Linda

doi:10.1016/j.trpro.2018.10.034

Cited by 22 publications

(10 citation statements)

References 10 publications

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“…15 A person's perceived comfort, safety or stress level when using bicycling infrastructure 16 has been quantified by bio-physiological parameters or surveys questions after viewing 17 hypothetical or imagined environments, simulated environments, or through naturalistic studies 18 (e.g. 5, [21][22][23][24]. Surveys with video clips are one of the most common approaches to assess how 19 people would feel about riding a bicycle in a place that they have never experienced.…”

Section: Background 27mentioning

confidence: 99%

User-Rated Comfort and Preference of Separated Bike Lane Intersection Designs

Monsere

McNeil

Sanders

2020

Transportation Research Record: Journal of the Transportation R

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Improved bicycle infrastructure has become increasingly common in the United States as cities seek to attract new riders, including the demographic who do not feel comfortable riding with motor vehicle traffic. A key tool in designing low-stress networks is the use of separated or protected bicycle lanes, and intersections are the critical links. This paper presents an analysis of the perceived level of comfort of current and potential bicyclists from 277 survey respondents who rated 26 first-person video clips of a bicyclist riding through mixing zones, lateral shifts, bend-in, bend-out, and protected intersection designs. A total of 7,166 ratings were obtained from surveys conducted at four locations in Oregon, Minnesota, and Maryland, including urban and suburban locations. Survey respondents were categorized into four groups based on their response to attitudes and bicycling behavior by cluster analysis. Descriptive analysis and regression modeling results find that designs that minimize interactions with motor vehicles, such as fully separated signal phases and protected intersections, are rated as most comfortable (72% of respondents rated them as very comfortable or somewhat comfortable). Mean comfort drops off significantly for other designs and interactions with turning vehicles result in lower comfort ratings though there are differences for each design. Importantly, as the exposure distance, measured as the distance a person on a bicycle is exposed to traffic, increases the comfort decreases.

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Section: Background 27mentioning

confidence: 99%

User-Rated Comfort and Preference of Separated Bike Lane Intersection Designs

Monsere

McNeil

Sanders

2020

Transportation Research Record: Journal of the Transportation R

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“…Many studies have explored various aspects of the built environment that can influence people's cycling behavior (Bauman et al, 2012;Nielsen and Skov-Petersen, 2018;Pritchard et al, 2019;Daraei et al, 2021;Kraus and Koch, 2021;Nazemi et al, 2021;McNeil, 2011;Ma and Dill, 2017;Cicchino et al, 2020;Nogal and Jiménez, 2020;Sottile et al, 2019;Berger and Dörrzapf, 2018;Porter et al, 2018;Aldred et al, 2020;Long and Zhao, 2020;Doubleday et al, 2021;Brüchert et al, 2020;Martin et al, 2021;Attard et al, 2021). Studies on the association of the built environment and cycling conditions became well-established, and many researchers developed indexes to assess specific aspects of the built environment that can affect cycling behavior and comprehensively quantify bikeability, i.e.…”

Section: Bikeability Studiesmentioning

confidence: 99%

Assessing bikeability with street view imagery and computer vision

Ito

Biljecki

2021

Transportation Research Part C: Emerging Technologies

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“…This methodology allows for a physiological measurement of stress on a previously determined route. A similar approach is used by Berger and Dörrzapf (2018) , who apply bio-physiological sensors and empirical data to measure stress on a previously determined route. However, physiological approaches can only identify conditions that affect cycling stress along the specific route measured, and it does not necessarily follow that those relationships hold in other environments, particularly where road conditions or social norms may be substantially different.…”

Section: Literature Reviewmentioning

confidence: 99%

Level of traffic stress-based classification: A clustering approach for Bogotá, Colombia

Huertas

Palacio

Botero

et al. 2020

Transportation Research Part D: Transport and Environment

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Highlights Data-informed methodology calculates the level of traffic stress of cyclists. Method scales to massive data sets by coupling a classifier with a predictive model. Methodology tested on the road network of Bogotá (Colombia) Web-enabled dashboard supports policy making and interventions to reduce stress. Number of bicyclists’ collisions per kilometer correlates with higher stress.

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Sensing comfort in bicycling in addition to travel data

Cited by 22 publications

References 10 publications

User-Rated Comfort and Preference of Separated Bike Lane Intersection Designs

User-Rated Comfort and Preference of Separated Bike Lane Intersection Designs

Assessing bikeability with street view imagery and computer vision

Level of traffic stress-based classification: A clustering approach for Bogotá, Colombia

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