2022
DOI: 10.1080/15568318.2022.2082343
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Equity impacts of cycling: examining the spatial-social distribution of bicycle-related benefits

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Cited by 14 publications
(3 citation statements)
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“…In cycling maturated countries, such as the Netherland, Germany and Denmark, the bicycle appears as an equitable transport mode since cycling trips for different daily purposes are distributed evenly across distinct income, age, and gender groups ( Pucher & Buehler, 2008 ). However, in starter cycling cities in the global north and south, there is evidence that the distribution of bicycle-related benefits tends to favour wealthy and advantaged representatives ( Cunha & Silva, 2022 ), disregarding the needs and constraints of disadvantaged and vulnerable groups.…”
Section: Gender Differences In Cyclingmentioning
confidence: 99%
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“…In cycling maturated countries, such as the Netherland, Germany and Denmark, the bicycle appears as an equitable transport mode since cycling trips for different daily purposes are distributed evenly across distinct income, age, and gender groups ( Pucher & Buehler, 2008 ). However, in starter cycling cities in the global north and south, there is evidence that the distribution of bicycle-related benefits tends to favour wealthy and advantaged representatives ( Cunha & Silva, 2022 ), disregarding the needs and constraints of disadvantaged and vulnerable groups.…”
Section: Gender Differences In Cyclingmentioning
confidence: 99%
“…During the pandemic, several cities have designed street and public spaces for cyclists through the implementation of pro-bike interventions like pop-up bicycle lanes ( Kraus & Koch, 2021 ; Shirgaokar et al, 2021 ), traffic calming measures and the dissemination and improvement of bicycle sharing systems (BSS) ( Nikitas et al, 2021 ). In addition, since the bicycle is a flexible, low-carbon, affordable and healthy mode of transport ( Pucher & Buehler, 2008 ), it has the potential to increase access to opportunities for disadvantaged and minority groups ( Cunha & Silva, 2022 ).…”
Section: Introductionmentioning
confidence: 99%
“…One simple but clear approach to integrate this influence is by computing travel costs on the cycling network only, and disregard streets that are not suitable for cycling. For example, Abad and Van der Meer (2018) assessed bicycle accessibility in Lisbon using a low-stress cycling network inferred from OpenStreetMap tags, while Cunha and Silva (2023) analyzed the same city by retrieving the delineation of implemented and planned cycling networks from the city council. This already shows that there is no common understanding of what defines "the cycling network".…”
Section: Introductionmentioning
confidence: 99%