The Cost-Effectiveness of Bike Share Expansion to Low-Income Communities in New York City

Yu, Wenya; Chen, Chen; Jiao, Boshen; Zafarí, Zafar

doi:10.1007/s11524-018-0323-x

Cited by 16 publications

(6 citation statements)

References 31 publications

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“…There may be other ways to impress upon knowledge users the uncertainty around estimates or what can be expected as a reasonable, plausible range. Future studies could attempt simulation (e.g., 52,53 ) to model error, but improving primary collection of data used for calculation inputs could be a better use of resources. This analysis helps to identify data sources needed for ongoing assessment and surveillance of bicycling injury.…”

Section: Discussionmentioning

confidence: 99%

Translating risk to preventable burden by estimating numbers of bicycling injuries preventable by separated infrastructure on a Toronto, Ontario corridor

Thompson

Branion-Calles

Harris

2021

UTJPH

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Objectives: Bicycling is a form of active transportation with a number of health benefits but carries a high risk of injury compared to other transportation modes. Safety intervention evaluations often produce results in the form of ratios, which can be difficult to communicate to policy-makers. The primary objective of this study was to estimate the number of bicycling injuries on an urban corridor preventable by separated bicycling infrastructure. Methods: Stakeholders identified a key corridor with multiple segments having bicycling infrastructure but most of the corridor lacking similar infrastructure. We counted bicyclist volume along this route and used secondary data to supplement counts missing due to COVID-19. We used two reference studies including local bicycling population to estimate benefit of separated bicycling infrastructure and applied this to a city-wide estimate of baseline risk of injury per kilometre bicycled, which used a combination of secondary data sources including police, health care and travel survey data. Finally, we adjusted baseline risk to account for increased bicyclist volume during and following the COVID-19 pandemic. Results: We estimated installation of fully separated cycle tracks along one Toronto corridor would prevent approximately 152.9 injuries and 0.9 fatalities over a 10-year period. Discussion: Our results underscore the benefits of separated bicycling infrastructure. We identify several caveats for our results, including the limitations of studies used to estimate relative risk of infrastructure. Our method could be adapted for use in other cities or along other corridors. Finally, we discuss the role of preventable burden estimates as a knowledge translation tool.

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Section: Discussionmentioning

confidence: 99%

Translating risk to preventable burden by estimating numbers of bicycling injuries preventable by separated infrastructure on a Toronto, Ontario corridor

Thompson

Branion-Calles

Harris

2021

UTJPH

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“… Gu et al (2016) used regression analysis to calculate the effect of marginal improvements of bicycle lanes in NYC in terms of ridership in order to assess the related health effects. Yu et al (2018) used stochastic Markov models to measure in ex-ante the cost-effectiveness of expanding the NYC bicycle share program to other parts of the city.…”

Section: Applicationsmentioning

confidence: 99%

Appraisal of cycling and pedestrian projects

Ruffino¹,

Jarre²

2021

New Methods, Reflections and Application Domains in Transport Appraisal

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“…Inequities in the spatial distribution of bike share programs have been well documented in the peer-reviewed literature as well as in other media platforms (23)(24)(25)(26). Furthermore, health impact studies estimate that the expansion of Citi Bike into low-income NYC neighborhoods will be particularly beneficial (24,27). However, a common assumption in these studies is that bike share uptake will be similar across neighborhoods regardless of the sociodemographic makeup of its residents.…”

mentioning

confidence: 99%

If We Build It, Who Will Come? Comparing Sociodemographic Characteristics of Bike Share Subscribers, Cyclists, and Residents of New York City

Crossa

Reilly

Wang

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Bike share programs are becoming increasingly popular across U.S. cities. However, their impact on persistent disparities in cycling by gender, race, and socioeconomic status remains understudied. We examined whether subscribers of Citi Bike, New York City’s (NYC) largest bike share program, reflect the sociodemographic profile of NYC cyclists. Using NYC Community Health Survey data, we described adult NYC residents of neighborhoods with ≥1 Citi Bike stations who rode a bicycle at least once a month. Citi Bike members were also described using first-time subscriber survey data. We compared the sociodemographic characteristics of these groups via a z-score with pooled variance. Approximately 2.2 million residents lived in 15 NYC neighborhoods with ≥1 Citi Bike station, and 449,000 (20.5%) reported cycling at least once a month in the past 12 months. Among first-time Citi Bike subscribers, 23,223 (11.5%) completed the survey. Compared with NYC cyclists, Citi Bike subscribers were more likely to be women, aged 24 to 45, White, college graduates, and from a household with an income >400% than the poverty level. Compared with the general population, cyclists were more likely to be White, male, and from a household with an income >400% than the poverty level. Race/ethnicity and socioeconomic status (not gender) disparities were larger among Citi Bike subscribers than NYC cyclists. With the emergence of cycling as an alternative transportation during the COVID-19 pandemic and the extension of bike share programs, this highlights the need for ongoing, systematic monitoring of bike share user socioeconomic characteristics to evaluate equitable use and access.

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The Cost-Effectiveness of Bike Share Expansion to Low-Income Communities in New York City

Cited by 16 publications

References 31 publications

Translating risk to preventable burden by estimating numbers of bicycling injuries preventable by separated infrastructure on a Toronto, Ontario corridor

Translating risk to preventable burden by estimating numbers of bicycling injuries preventable by separated infrastructure on a Toronto, Ontario corridor

Appraisal of cycling and pedestrian projects

If We Build It, Who Will Come? Comparing Sociodemographic Characteristics of Bike Share Subscribers, Cyclists, and Residents of New York City

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