Joint consideration of energy expenditure, air quality, and safety by cyclists

Bigazzi, Alexander; Gehrke, Steven R.

doi:10.1016/j.trf.2018.07.005

Cited by 26 publications

(17 citation statements)

References 62 publications

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“…These five groups were people who used bike share for commuting only, social/entertainment only, exercise only, dual or triple-purpose from commuting, social/entertainment, and exercise, and purposes other than commuting, social/entertainment, and exercise. Our results highlighted the importance of considering trip purposes for promoting bike share usage, which was consistent with conclusions drawn from prior research on cycling [ 24 , 27 , 29 , 30 ].…”

Section: Discussionsupporting

confidence: 91%

“…Another study conducted in Vancouver, Canada, showed that air pollution consciousness was higher in those with higher cycling frequency [ 24 ]. In this study, adjusting outdoor activity based on air quality was found to be associated with frequent bike share trips for dual or triple-purpose.…”

Section: Discussionmentioning

confidence: 99%

“…The model has been used to understand the multiple determinants of health behaviors, such as accessing health services among sex workers [ 18 ], the linkage between poverty and smoking [ 19 ], and cycling among older adults [ 20 ]. In terms of predicting cycling behavior, intrapersonal factors may include perceived self-efficacy for cycling, general health, air quality consciousness, and socio-demographic characteristics [ 21 , 22 , 23 , 24 ]. Interpersonal factors may include a family’s decision to cycle together, participation in a cycling club, and simply having family or friends who engage in cycling [ 21 , 23 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…Cycling for different purposes has been found to be associated with different enabling factors and barriers [ 24 , 27 , 29 , 30 ]. A survey conducted in Vancouver, Canada, examined the effects of safety concern, energy consciousness, and air quality consciousness on cycling frequency for cycling for commuting, shopping/errands/dining, and recreation/exercise [ 24 ]. Results showed that energy consciousness was associated with more cycling for recreation/exercise but not for commuting or shopping/errands/dining.…”

Section: Introductionmentioning

confidence: 99%

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Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?

Chen

Hsu

2020

IJERPH

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Using bike share could increase physical activity and improve health. This study used the social-ecological model to identify predictors of frequent bike share trips for different purposes. Participants residing in the U.S. were recruited via Amazon Mechanical Turk (MTurk). Self-report trip purposes were used to group participants into using bike share for commuting only (n = 260), social/entertainment only (n = 313), exercise only (n = 358), dual or triple-purpose (n = 501), and purposes other than commuting, social/entertainment, and exercise (n = 279). Results showed that at the intrapersonal level, perceived use of bike share to be helpful for increasing physical activity was a significant predictor for all groups, except for the other purpose group. Adjusting outdoor activity based on air quality was a significant predictor for the dual or triple-purpose group. At the interpersonal level, having four or more friends/family using bike share was a significant predictor for the other purpose group. At the community level, distance to the nearest bike share within acceptable range was a significant predictor for social/entertainment and dual or triple-purpose groups. The findings suggest that it is important to consider factors at multiple levels for predicting bike share usage. Moreover, health educators and policy makers should adopt different strategies for promoting bike share usage based on trip purposes.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?

Chen

Hsu

2020

IJERPH

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“…Cycling is a human behavior that is a convergence of a myriad of individual (e.g., age, gender, physical abilities, and confidence level), situational (e.g., trip purpose, distance, time, and cost), and environmental (e.g., infrastructure, traffic conditions, and topography) factors [16,17]. Individual sociodemographic features are a major determinant in decisions of which routes to take or whether to ride a bicycle to get to a destination [18,19,20], and psychological factors (such as attitudes and perception) are also important [21,22,23]. Bicyclists generally prefer routes with bicycle infrastructure that can separate and protect them from vehicle traffic [18,20,24,25,26,27,28].…”

Section: Introductionmentioning

confidence: 99%

Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data

Lee

Sener

2019

IJERPH

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As bicycling on roadways can cause adverse health effects, there is an urgent need to understand how bicycle routes expose bicyclists to traffic emissions. Limited resources for monitoring reveal that bicycle travel patterns may constrain such understanding at the network level. This study examined the potential exposure of bicyclists to traffic-related air pollution in El Paso, Texas, using Strava Metro data that revealed bicycle patterns across the city networks. An initial spatial mapping analysis was conducted to explore the spatial patterns of bicycling and traffic pollutant emission, followed by exploratory descriptive statistics. A spatial bicycle model was then developed to explore factors influencing bicycling activity in El Paso. Analysis results indicated significant associations between greater bicycle volume and both higher levels of particulate matter (PM2.5) emissions and more frequent bus services, implying adverse health concerns related to traffic-related air pollution. The results also indicated significant effects of various environmental characteristics (e.g., roadway, bicycle infrastructure, topography, and demographics) on bicycling. The findings encourage extending this study to provide guidance to bicyclists whose regular trips take place on heavily trafficked roads and during rush hours in this region and to evaluate the net health impacts of on-road bicycling for the general population.

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Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)

et al. 2022

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Understanding people's travel behavior is necessary for achieving goals such as increased bicycling and walking, decreased traffic congestion, and adoption of clean-fuel vehicles. To understand underlying motivations, researchers increasingly are adding subjective variables to models of travel behavior. This article presents a systematic review of 158 such studies. Nearly every reviewed article finds subjective variables to be predictive of transport outcomes. However, the 158 reviewed studies include 2864 distinct subjective survey questions. This heterogeneity makes it difficult to reach definitive conclusions about which subjective variables are most important for which transport outcomes. In addition to heterogeneity, challenges of this literature also include an unclear direction of causality and tautological relationships between some subjective variables and behavior. Within the constraints imposed by these challenges, we attempt to evaluate the explanatory power of subjective variables, which subjective variables matter most for which transport choices, and whether the answers to these questions vary between continents. To reduce heterogeneity in future studies, we introduce the Standardized Transport Attitude Measurement Protocol, which identifies a curated set of subjective questions. We have also developed an open-access database of the reviewed studies, including all subjective survey questions and models, with an interactive, searchable interface. Keywords Attitudes • Perceptions • Travel choice • Travel behavior • Factor analysisNathan Harness and Alexis Consalvo have contributed equally.

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Joint consideration of energy expenditure, air quality, and safety by cyclists

Cited by 26 publications

References 62 publications

Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?

Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?

Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data

Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)

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