Evidence map›Paper›PMID 26444001›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

Use of and short-term impacts of new cycling infrastructure in inner-Sydney, Australia: a quasi-experimental design.

Chris Rissel, Stephen Greaves, Li Ming Wen, Melanie Crane, Chris Standen

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 pooled it
–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, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Article
  9. Article
  10. Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia.The international journal of behavioral nutrition and physical activity · 2019
    Article
  11. Article
  12. Article
  13. Can environmental improvement change the population distribution of walking?Journal of epidemiology and community health · 2017
    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

5 authors.

Chris RisselSydney School of Public Health, University of Sydney, Sydney, Australia. chris.rissel@sydney.edu.au.
Stephen GreavesInstitute of Transport and Logistics Studies, University of Sydney, Sydney, Australia. Stephen.greaves@sydney.edu.au.
Li Ming WenSydney School of Public Health, University of Sydney and Sydney Local Health District, Sydney, Australia. lmwen@email.cs.nsw.gov.au.
Melanie CraneSydney School of Public Health, University of Sydney and Sydney Local Health District, Sydney, Australia. melanie.crane@sydney.edu.au.
Chris StandenInstitute of Transport and Logistics Studies, University of Sydney, Sydney, Australia. c.standen@econ.usyd.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven increasing investment in new cycling infrastructure, it is important to understand its impacts. The Sydney Transport and Health Study evaluates a new 2.4 km bi-directional separated bicycle path in inner-Sydney. This paper describes the users of the new bicycle path, and examines its short-term impacts upon cycling behaviour and perceptions of the local environment.

methodsData were collected from two bike counts at two intersections on the new bicycle path in the intervention area in 2013 and 2014. On-line surveys collected individual participant data in the intervention area and a similar comparison area before the bicycle path was built (2013), and 12 months later (four months after completion) (n = 512). The data included self-reported cycling behaviour, use of the new bicycle path and perceptions of changes in the local environment.

resultsBike counts at two sites on the new bicycle path reported an increase of 23% and 97% respectively at 12 months. However, among the participants in the cohort, there was no change in the self-reported weekly frequency of cycling. One in six (approximately 15%) participants reported using the new bicycle path, with most users (76%) living in the intervention area. Bicycle path users were most likely to be frequent riders (at least weekly) [adjusted odds ratio (AOR) = 7.50, 95 % CI 3.93-14.31], be a high intensity recreational rider (AOR = 4.38, 95 % CI 1.53-12.54) or a low intensity transport rider (AOR = 2.42, 95 % CI 1.17-5.04) and live closer to the bicycle path (AOR = 1.24, 1.13-1.37). Perceptions that the neighbourhood was more pleasant, that there were more people walking and cycling were significantly higher in the intervention area at 12 months (both P values <0.05).

conclusionsExisting cycling behaviour and proximity to the bicycle path were associated with the use of the new bicycle path. Increased use of the new bicycle path as reported by the participants in the intervention area and increased cycling recorded by the bike counts may be due to existing cyclists changing routes to use the new path, and more cyclists from outside the study area using the new path, as study participants did not increase their frequency of cycling. Increases in cycling frequency in the intervention neighbourhood may require a longer lead time, additional promotional activities and further maturation of the Sydney bicycle path network. KEY MESSAGE: Understanding how new cycling infrastructure impacts communities can influence the promotion of such infrastructure.

Indexed as

AttitudeBicyclingEnvironment DesignExerciseHealth BehaviorResidence CharacteristicsAdolescentAdultAustraliaFemaleHumansMaleMiddle AgedOdds RatioRecreationSelf Report

Identifiers

PMID26444001
PMCPMC4596499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.