Evidence map›Paper›PMID 31548761›Full record

ArticleJournal of transport geography2019

Freedom from the Station: Spatial Equity in Access to Dockless Bike Share.

Stephen J Mooney, Kate Hosford, Bill Howe, An Yan, Meghan Winters, Alon Bassok, Jana A Hirsch

Abstract read
In one paragraph

Article in Journal of transport geography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  7. Integrative urban AI to expand coverage, access, and equity of urban data.The European physical journal. Special topics · 2022
    Article
  8. Article
  9. Review
  10. Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?International journal of environmental research and public health · 2020
    Article
  11. Understanding the Shared E-scooter Travels in Austin, TX.ISPRS international journal of geo-information · 2020
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stephen J MooneyDepartment of Epidemiology, University of Washington, Seattle, WA.
Kate HosfordFaculty of Health Sciences, Simon Fraser University, Burnaby, BC.
Bill HoweThe Information School, University of Washington, Seattle, WA.
An YanThe Information School, University of Washington, Seattle, WA.
Meghan WintersFaculty of Health Sciences, Simon Fraser University, Burnaby, BC.
Alon BassokWashington State Transportation Center, University of Washington, Seattle.
Jana A HirschUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.

Funding

Pediatric Injury Research Training ProgramT32HD057822 · NICHD · UNIVERSITY OF WASHINGTON · PI CAROLYN A MC CARTY, Ali Rowhani-Rahbar · 2010 to 2026
$4.0M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsK99LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2018 to 2018
$127k
NICHD NIH HHS T32 HD057822NLM NIH HHS K99 LM012868
6 · The paper itself

Abstract

backgroundBike sharing systems have potential to substantially boost active transportation levels (and consequent physical and mental health) in urban populations. We explored equity of spatial access in a novel 'dockless' bike share system that does not that constrain bike pickup and drop-off locations to docking stations.

methodsStarting in July 2017, Seattle, Washington piloted a dockless bike share system that made 10,000 bikes available. We merged data on resident sociodemographic and economic characteristics from the American Community Survey about 93 defined neighborhoods with data about bike locations, bike idle time, and which neighborhoods operators rebalanced bikes to. We used mapping and descriptive statistics to compare access between neighborhoods along sociodemographic and economic lines.

resultsWith many bikes available, no neighborhood was consistently excluded from access. However, the average availability ranged from 3 bikes per day to 341 per day. Neighborhoods with more bikes had more college-educated residents (median 75% college-educated vs. 65%) and local community resources (median opportunity index score of 24 vs. 19), and higher incomes (median 83,202 vs. 71,296). Rebalancing destinations were strongly correlated with neighborhood demand (r=0.61).

conclusionsThe overall scale of the dockless system ensured there was baseline access throughout Seattle. We observed modest inequities in access along sociodemographic lines, similar to prior findings in studies of docked bike share systems. Dockless bike share systems hold promise for offering equitable spatial access to bike sharing.

Identifiers

PMID31548761
PMCPMC6756758

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.