Facilitating bicycle commuting beyond short distances: insights from existing literature

2021 ◽  
pp. 1-25
Author(s):  
Apara Banerjee ◽  
Mirosława Łukawska ◽  
Anders Fjendbo Jensen ◽  
Sonja Haustein
Keyword(s):  
Author(s):  
Maximiliano Lizana ◽  
Alejandro Tudela ◽  
Arnoldo Tapia
Keyword(s):  

2016 ◽  
Vol 7 (1) ◽  
pp. 123-139
Author(s):  
K.V. Prozorova ◽  
L.K. Grigoryan

This paper reports on the outcomes of verification of Perugini and Bagozzi’s model of goal-directed behavior, according to which determinants of bicycle commuting include one’s intention to behave this way, perceived behavioral control and frequency of past behavior, and the individual’s intention is, in turn, influenced by attitudes, perceived social approval and emotions associated with this behavior. The model was tested on a sample of 814 subjects living in several regions of Russia (av- erage age 31 years, 70.6% males) using a survey. The scales of social psychological determinants were translated and adapted from the surveys used in previous studies. Confirmatory factor analysis and structural equation modeling confirmed the initial hypotheses only partially. It was proved that positive attitudes, perceived social ap- proval, expected positive emotions and frequency of past behavior result in greater desire to commute by bicycle; and that this desire and frequency of past behavior positively affect the subjects’ intention, whereas perceived behavioral control (i.e. perceived difficulties with behaving this way) affects their intention negatively. In contrast to our expectations negative emotions and perceived behavioral control don’t seem to predict desire to commute by bicycle. The paper puts forward and ex- plores some new hypotheses on possible reasons for the absence of such correlations in the Russian context.


2021 ◽  
Vol 7 ◽  
Author(s):  
Priscilla Dutra Dias Viola ◽  
Juan Torres ◽  
Leandro Cardoso

Purpose: Human behavior is complex, resulting from dynamic person-environment interactions. The study of determinants in an ecological model can be useful to understand this complexity. When it comes to bicycle commuting, previous research has identified several individual and environmental determinants that can influence behaviour and likelihood to cycle. The purpose of this article is to provide an analytical framework integrating the determinants of cycling in an analysis from the perspective of Bronfenbrenner's ecological model. Methodology: Through a literature review, we select scientific articles that include studies conducted from a variety of cities in the Americas, Europe and Asia. Findings: As a result, the article presents the determining factors for bicycle commuting in a diagram based on Bronfenbrenner’s ecological model. Research limitation: Further research, which may include a systematic or an umbrella review, could be conducted to confirm the determining factors that influence bicycle commuting in urban areas. In addition, broader work is needed to understand which factors influence the adhesion of shared bicycles and how they fit into the ecological model proposed by Bronfenbrenner. Originality: Our article provides guidelines for an analytic framework that can be a useful tool in case studies or comparative research on mobility and urbanism.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Anna K Porter ◽  
Harold W Kohl ◽  
Deborah Salvo

Introduction: Bicycling to work is a mode of transportation that provides regular physical activity and has been associated with mental and physical well-being. Limited research has examined what facilities, such as bike racks, and policies within the workplace are associated with bicycling to work. Hypothesis: Access to workplace facilities and policies will be associated with higher odds of bicycling to work. Methods: In 2016/17, a convenience sample of adult residents of Travis County (Austin), Texas, and Jefferson County (Birmingham), Alabama who had ridden a bicycle at least once in the past year responded to an Internet-based questionnaire assessing correlates of bicycling. Participants who self-reported that a purpose of their bicycle trips was commuting to/from work were categorized as a bicycle commuter. Workplace facilities/policies included (a) bicycle lockers, (b) locked rooms/cages, (c) clothes storage, (d) bike racks, (e) showers, and (f) policies that supported bicycling to work. A summary score ordinal variable, (g) total facilitators, was derived by adding the total number of reported policies/facilities per participant. Multivariable logistic regression models adjusting for age, race, education, income, number of motor vehicles, relationship status, children in household, and sex were used to estimate the association between individual workplace facilities and policies, as well as total facilitators, and bicycle commuting. Interactions were tested between sex and each of the workplace variables. Analyses was limited to participants who were employed. Results: The final analytic sample was 771; 45% were categorized as a bicycle commuter (n=344). Access to workplace facilities/policies ranged from 7% (bike lockers) to 50% (bike racks). Bike lockers (OR 5.6; 95% CI 4.5,6.8), locked rooms/cages, (OR 2.2; 95% CI 1.4, 3.3), clothes storage (OR 2.0; 95% CI 1.5, 2.7), bike racks (OR 3.2; 95% CI 3.0, 3.3), and policies that supported bicycling to work (OR 3.3, 95% CI 2.5, 4.4) were associated with significantly higher odds of being a bicycle commuter. Only showers in the workplace showed a significant interaction by sex; showers were directly associated with being a bicycle commuter for males (OR 2.1; 95% CI 2.0, 2.1), but inversely associated with being a bicycle commuter for females (OR 0.9; 95% CI 0.8, 0.9). As compared to no facilitators, having 1 facilitator was associated with 2.1 times higher odds (95% CI 1.8, 2.6), 2 facilitators with 3.1 times higher odds (95% CI 2.1, 4.5), 3 facilitators with 4.4 times higher odds (95% CI 4.2, 4.8), and 4 or more facilitators with 7.9 times higher odds of being a bicycle commuter (95% CI 7.0, 9.0). Conclusions: The presence of workplace facilities/policies is associated with higher odds of bicycling to work. Workplaces should consider how the institutional environment can promote active transportation, and, in turn, employee health.


2014 ◽  
Vol 8 ◽  
pp. 109-110
Author(s):  
Lennert Veerman ◽  
Delwar Akbar ◽  
Jan J. Barendregt ◽  
Phillip Smith

Author(s):  
Elżbieta Biernat ◽  
Sonia Buchholtz ◽  
Piotr Bartkiewicz
Keyword(s):  

Author(s):  
Johan Nilsson Sommar ◽  
Christer Johansson ◽  
Boel Lövenheim ◽  
Anders Markstedt ◽  
Magnus Strömgren ◽  
...  

This study aims to use dispersion-modeled concentrations of nitrogen oxides (NOx) and black carbon (BC) to estimate bicyclist exposures along a network of roads and bicycle paths. Such modeling was also performed in a scenario with increased bicycling. Accumulated concentrations between home and work were thereafter calculated for both bicyclists and drivers of cars. A transport model was used to estimate traffic volumes and current commuting preferences in Stockholm County. The study used individuals’ home and work addresses, their age, sex, and an empirical model estimate of their expected physical capacity in order to establish realistic bicycle travel distances. If car commuters with estimated physical capacity to bicycle to their workplace within 30 min changed their mode of transport to bicycle, >110,000 additional bicyclists would be achieved. Time-weighted mean concentrations along paths were, among current bicyclists, reduced from 25.8 to 24.2 μg/m3 for NOx and 1.14 to 1.08 μg/m3 for BC. Among the additional bicyclists, the yearly mean NOx dose from commuting increased from 0.08 to 1.03 μg/m3. This would be expected to yearly cause 0.10 fewer deaths for current bicycling levels and 1.7 more deaths for additional bicycling. This increased air pollution impact is much smaller than the decrease in the total population.


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