Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences

Márquez, Luis; Soto, Jose J.

doi:10.1016/j.tra.2021.06.017

Cited by 20 publications

(4 citation statements)

References 78 publications

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“…Cycling is perceived as being an unsafe mode of transportation, especially in urban environments where there is exposure to motorized vehicles ( 16 , 18 , 19 ). Safety is shown to be more highly valued than time as a factor for mode choice, and safety concerns affect route choices and decisions to cycle ( 19 – 21 ). Feelings of perceived safety, perceptions of risk, and comfort, among other factors, have been used in perceived safety literature to measure the cycling experience, and have been shown to be related to multiple factors such as roadway infrastructure, existing traffic, and cyclists’ individual characteristics ( 17 , 18 , 22–45 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Examining Socioeconomic and Physiological Factors Affecting Preferences for Cycling Infrastructure Using Virtual Reality Experimentation

Saglio,

Robartes,

Chen

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Understanding cyclist behaviors and preferences is critical to improve safety and increase mode share. However, real-world cycling data is scarce and on-road testing presents safety concerns. This study presents a novel way of studying cyclists’ perceptions of bicycle infrastructure design alternatives using immersive virtual environments modeled after a real-world corridor, and a previously validated bike simulator at the University of Virginia, U.S. Three infrastructure scenarios were tested: sharing lanes with motor vehicles marked with sharrows (with no bike lane), a separated bike lane, and a protected bike lane with flexible delineators. Surveys elicited data on participants’ preferences and perceptions of safety, as well as demographic and socioeconomic data. Smartwatches collected heart rate (HR) data. A multinomial logit model examined the relationship between sociodemographic and physiological variables and preferences for bicycle infrastructure. Results suggest gender, age, and abrupt changes in HR affect cyclists’ preferences for bike infrastructure design. Overall, gender emerges as the most practically significant predictor variable for bicycle infrastructure preference, with men more likely to prefer sharrows and women more likely to prefer protected bike lanes. Exploratory analysis also suggests that bicyclists who self-identified as “strong and fearless” were more likely to choose sharrows as the preferred design, while bicyclists who self-identified as “interested but concerned” more often chose the protected bike lane. These results highlight the importance of understanding preferences of not just current cyclists, but potential future cyclists. Virtual reality simulation offers a low-cost, safe, and efficient method to understand preferences of individuals interested but not yet choosing cycling as a mode.

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Section: Literature Reviewmentioning

confidence: 99%

Examining Socioeconomic and Physiological Factors Affecting Preferences for Cycling Infrastructure Using Virtual Reality Experimentation

Saglio,

Robartes,

Chen

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…While safety conditions can be measured objectively, it is essential to consider subjective perceptions as follows: a light and clean urban space [25,26] and the presence of commercial activities [27], which show a high likelihood of feeling that the urban space is safe. In the study by Marquez et al [28], it is shown that people who use bikes for training and not for commuting are also more concerned about bicycle theft, and public transport users are more concerned about theft risks. So, the perception of safety depends on the reason for the travel and the type of movement (for recreational purposes and commuting)…”

Section: Introductionmentioning

confidence: 99%

Exploring the Influences of Safety and Energy Expenditure Parameters on Cycling

Cappelli,

D’Apuzzo,

Nardoianni

et al. 2024

Sustainability

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Several determinants affect the reason to cycle or not, and some of them are described in a detailed way in the current technical literature review. The recent spread of new modes of active mobility brings up questions for urban transport planners on how to foresee future demand and assess safety conditions; from this comes the need to explore the relationships among several determinants. In this paper, after the collection of the main data required, three Regression Models are proposed, which demonstrate evidence for the role of safety and energy expenditure issues as important predictors. The method is applied to a dataset of 90 Italian cities selected according to their class of dimensionality and geographical position. The three models for each class of dimensionality (50,000–100,000 no. of inhabitants, 10,000–50,000 no. of inhabitants, and 0–10,000 no. of inhabitants) show a good accuracy (in terms of adj-R2 values of 0.6991, 0.7111, and 0.6619, respectively). The results show that energy expenditure, which is related to the terrain characteristics of an urban area and individual aerobic abilities, and safety perception, which is related to cycle network extensions, appear to be significant determinants in predicting bicycle modal share. The aim is to provide a useful and simplified tool, when only aggregated-type data are available, to help urban road designers and city planners in identifying and forecasting bike-sharing.

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“…Although there are many risks from cycling, how (and whether) such risks factor into individuals' perceived cycling safety is poorly understood. In some studies, perceived safety has been defined as the risk of being involved or injured in a crash [12][13][14], while other studies measure the risk of being a victim of crime while cycling [15][16][17]. Moreover, many studies do not define perceived safety, leaving its definition open to interpretation [18,19].…”

Section: Introductionmentioning

confidence: 99%

Identifying and Assessing Perceived Cycling Safety Components

Duren,

Corrigan,

Kennedy

et al. 2023

Safety

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Perceived safety is recognized throughout the mode choice literature as a key barrier to cycling, yet its constructs are poorly understood. Although commonly understood to relate to crash and injury risk and sometimes vulnerability to crime, health impact assessments identify numerous other pathways through which cycling can negatively impact health. This study leverages a nationally representative survey of U.S. adults in 2022 to assess a set of eleven factors as potential components of perceived cycling safety. We use principal component analysis to identify components of perceived cycling safety and then employ principal component regression to assess these components in relation to predicting unsafe cycling perception. We identify five key dimensions of perceived safety. Specifically, we found that perceived bicycling safety can be encompassed in the following components: (1) contaminant exposure, (2) injurious collision risk, (3) street conditions, (4) weather conditions, and (5) crime risk. In evaluating each identified component, we found that injurious collision risk and street conditions were the most predictive of considering cycling as unsafe. We further develop an understanding of how differences in cycling behavior, such as using cycling for commuting purposes, may contribute to differences in how cycling safety components coalesce into perceived safety.

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Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences

Cited by 20 publications

References 78 publications

Examining Socioeconomic and Physiological Factors Affecting Preferences for Cycling Infrastructure Using Virtual Reality Experimentation

Examining Socioeconomic and Physiological Factors Affecting Preferences for Cycling Infrastructure Using Virtual Reality Experimentation

Exploring the Influences of Safety and Energy Expenditure Parameters on Cycling

Identifying and Assessing Perceived Cycling Safety Components

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