Cross-culturally approaching the cycling behaviour questionnaire (CBQ): Evidence from 19 countries

Useche, Sergio A.; Alonso, Francisco; Boyko, Aleksey; Buyvol, Polina; Castañeda, Isaac; Cendales, Boris; Cervantes, Arturo; Echiburú, Tomás; Faus, Mireia; Feitosa, Zuleide; Gene, Javier; Gonzalez-Marin, Adela; González, Víctor; Gnap, Jozef; Ibrahim, Mohd K.; Janstrup, Kira Hyldekær; Javadinejad, Arash; Makarova, Irijna; McIlroy, Rich C.; Mikušová, Miroslava; Møller, Mette; Ngueuteu-Fouaka, Sylvain; O’Hern, Steve; Orozco-Fontalvo, Maurício; Shubenkova, Ksenia; Siebert, Felix; Soto, J. L.; Stephens, Amanda N.; Valle-Escolano, Raquel; Wang, Yonggang; Willberg, Ellias; Wintersberger, Phillip; Zeuwts, Linus; Zulkipli, Zarir H.; Montoro, Luís

doi:10.1016/j.trf.2022.10.025

Cited by 18 publications

(25 citation statements)

References 68 publications

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“…Lastly, we utilized only the checkout and return data provided by the city's shared bicycles, as this was required for the additional qualitative research on travel behavior. Thus, we may need to compare the factors highlighted in previous studies, such as racial preferences and risk perception based on city size, to better understand Houston's context [37,38].…”

Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas

Chun,

Nguyen,

Pan

et al. 2024

Sustainability

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This study aims to analyze bike-sharing information and related urban factors to promote bike-sharing utilization in Houston, Texas. The research was initiated with a descriptive analysis, where the hourly and daily variations in bike demand are investigated, thereby revealing the time-related patterns of bike tours. The models included data on socio-demographics, public transportation availability, land use patterns, tree canopy coverage, bike routes, and job density within 0.25-mile and 0.5-mile buffer zones around each bike-sharing station. Stepwise regression was utilized to examine the effects of urban factors on bike-sharing ridership, and the explanatory power of the model was enhanced by selecting meaningful variables. The analysis found that tree canopy coverage was a significant factor in influencing bike-sharing ridership. Expansion of tree coverage can help make biking a sustainable mode of transportation. These findings have the potential to guide the development of practical policies that aim to promote sustainable urban mobility through bike-sharing programs.

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Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas

Chun,

Nguyen,

Pan

et al. 2024

Sustainability

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“…They ranked second to fifth in terms of frequency respectively. According to the literature, risky/positive behaviors and personality traits play a role as key factors in making cyclists safer [ 61 , 62 ]. In a study, the total positive behaviors of cyclists were more than risky behaviors [ 47 ].However behavioral patterns are largely dependent on demographic variables and indicators of each country.…”

Section: Discussionmentioning

confidence: 99%

Self-reported cycling behavior and previous history of traffic accidents of cyclists

Rad,

Kavandi,

Kouchakinejad-Eramsadati

et al. 2024

BMC Public Health

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Background Cyclists are vulnerable traffic users and studying the cycling behavior of professional and elite cyclists, their previous history of traffic accidents combined with the current knowledge on high-risk behaviors of this group can be a useful basis for further studies on ordinary cyclists. This study aimed to determine the relationship between cycling behavior and the previous history of traffic accidents among members of the Cycling Federation of Guilan province in 2022. Methods A descriptive-analytical study was performed in which the Bicycle Rider Behavior Questionnaire (BRBQ) constructed in the Porsline platform was distributed using the WhatsApp social network. All participants were asked to self-report their cycling behavior. The final analysis was performed by using STATA software (version 14). Results The study subjects included a total of 109 cyclists with a mean age of 38.62 ± 10.94 years and a mean cycling experience of 13.75 ± 11.08 years. Using the logistic regression model, the relationship between gender (P = 0.039), years of cycling experience (P = 0.000), and education level (P ≤ 0.00), with previous traffic accidents, was found significant. There was also a significant relationship between stunts and distractions (P = 0.005), signaling violation (P = 0.000), and control error (P = 0.011) with previous traffic accidents. A significant association existed between stunts and distractions (P = 0.001) and signaling violation (P = 0.001) with a previous history of traffic injury within the last 3 years. Conclusions The findings of this study can be used to establish cyclist safety and preventative planning in society. In behavior change intervention programs, it is best to target male cyclists with higher-level education. In addition, the behavior of the cyclists whose predominant term of signaling violations must be corrected should be targeted. It is necessary to shape information campaigns and educational programs aimed for cyclists with common high-risk behaviors, especially signaling violations.

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“…However, Carole Rodon et al found that the incidence of risky behaviors varied and was greater among e-cyclists than among cyclists, which may be related to psychological factors [ 11 ]. The Cycling Behavior Questionnaire (CBQ) has been confirmed effective for assessing the dangerous and positive cycling behaviors of cyclists in different countries; this tool can help evaluate and improve cycling safety through the human factors approach [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of road traffic accidents and casualties associated with electric bikes and bicycles in Guangzhou, China: A retrospective descriptive analysis

Zhou,

Zeng,

Xie

et al. 2024

Heliyon

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Cross-culturally approaching the cycling behaviour questionnaire (CBQ): Evidence from 19 countries

Cited by 18 publications

References 68 publications

Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas

Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas

Self-reported cycling behavior and previous history of traffic accidents of cyclists

Analysis of road traffic accidents and casualties associated with electric bikes and bicycles in Guangzhou, China: A retrospective descriptive analysis

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