2021
DOI: 10.1016/j.ehb.2020.100945
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Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata

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Cited by 19 publications
(5 citation statements)
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“…After accounting for individual and area characteristics, this study also revealed that women and ethnic minorities are less likely to cycle. In contrast to England as a whole, cycling in London became increasingly concentrated among higher-SES groups over time, and increased infrastructure expenditure was associated with more cycling [59]. Similarly, a review by Smith et al (2017) found in one study that newly built walking and cycling paths were used more by people with higher incomes, higher educational levels, and employment.…”
Section: Results Focusing On Individual Variablesmentioning
confidence: 99%
“…After accounting for individual and area characteristics, this study also revealed that women and ethnic minorities are less likely to cycle. In contrast to England as a whole, cycling in London became increasingly concentrated among higher-SES groups over time, and increased infrastructure expenditure was associated with more cycling [59]. Similarly, a review by Smith et al (2017) found in one study that newly built walking and cycling paths were used more by people with higher incomes, higher educational levels, and employment.…”
Section: Results Focusing On Individual Variablesmentioning
confidence: 99%
“…Although, systemic changes in how people travel are difficult to achieve, some cities around the world were able to gain momentum and overtime transform their downtowns. Even before the pandemic, cycling infrastructure expenditure that was supported by policies targeting less sustainable modes, was found to be associated with more cycling among commuters 52 . Nonetheless, work herein looks beyond the infrastructure and examines how different groups of people have responded to COVID-19 measures and how that www.nature.com/scientificreports/ affected their intended cycling frequency.…”
Section: Discussionmentioning
confidence: 99%
“…Demographic and socio-economic characteristics also influence travel behaviour [37]. For instance, research [38] discovered a correlation between lower incomes and a decreased share of cycling for commuting in London. Additionally, studies on bicycle commuting have found that factors such as age, physical fitness, gender, employment status, education, car ownership, and cultural influences are significantly related to cycling for commuting purposes [47][48][49].…”
Section: Literature Reviewmentioning
confidence: 99%