COVID-19′s impact on older adults’ cycling behaviors in a small, auto-centric urban area

Gladwin, Kristin; Duncan, Michael

doi:10.1016/j.trip.2022.100675

Cited by 7 publications

(2 citation statements)

References 50 publications

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“…For example, because car traffic was extremely low during COVID lockdowns, perhaps women or older adults felt safer riding a bicycle than they might have before lockdowns and increase their cycling rate ( Fischer et al, 2022 ). However, at least one study suggests that COVID-19 has not changed these relationships; a study in the United States found that for most older adults, their cycling habits did not change during COVID and that older adults with a higher income are more likely to report an increase in cycling during COVID-19 ( Gladwin and Duncan, 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience

Naseri

Delbosc

Kamruzzaman

2023

Journal of Transport Geography

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Section: Literature Reviewmentioning

confidence: 99%

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience

Naseri

Delbosc

Kamruzzaman

2023

Journal of Transport Geography

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“…The hope is that by keeping a distance from other people and avoiding crowds, the spread of this disease is expected to be reduced. The social impacts also lead to changes in voluntary travel behavior (VTBC) [13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Socio-Economic Impacts of the Covid-19 Pandemic Using Factor Analysis

Susilawati,

Sumarjaya,

Srinadi

et al. 2023

BAREKENG: J. Math. & App.

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The purpose of this study is to identify the factors that influence the socio-economic impact of the Covid-19 pandemic. This study uses explanatory factor analysis that is an analysis that forms new random factors in which the later formed factors or constructs can be interpreted. The case study was conducted in Sawan Village, Sawan District, Buleleng Bali, with six variables explaining the economic impact, and 16 variables explaining the social impact. The results of the study show that there are three factors that explain the economic impact due to Covid-19. They are the income factor, the purchase of quotas and gadgets, and the expenditure factor with the total variance described being 82,178 percent. Meanwhile, the social impact due to the Covid-19 pandemic is explained by three factors, namely the fear of interacting in public places, the fear factor of doing activities outside the home, and the fear of using public facilities with a total variance that can be explained is 73,609 percent.

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Cycling during and after COVID: Has there been a boom in activity?

Younes,

Noland,

Von Hagen

et al. 2023

Transportation Research Part F: Traffic Psychology and Behaviou

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COVID-19′s impact on older adults’ cycling behaviors in a small, auto-centric urban area

Cited by 7 publications

References 50 publications

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience

Analysis of Socio-Economic Impacts of the Covid-19 Pandemic Using Factor Analysis

Cycling during and after COVID: Has there been a boom in activity?

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