Evidence map›Paper›PMID 30642047›Full record

ArticleInternational journal of environmental research and public health2019

Patterns of Cyclist and Pedestrian Street Crossing Behavior and Safety on an Urban Greenway.

Christopher E Anderson, Amanda Zimmerman, Skylar Lewis, John Marmion, Jeanette Gustat

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Christopher E AndersonDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA. cander5@tulane.edu.ORCID 0000-0003-0912-6884
Amanda ZimmermanDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA. azimmer2@tulane.edu.
Skylar LewisCenter for Aging, Tulane University School of Medicine, New Orleans, LA 70112, USA. slewis17@tulane.edu.
John MarmionDepartment of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA. imarmion@tulane.edu.
Jeanette GustatDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA. gustat@tulane.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Greenways are linear open spaces, which are often used as trails for pedestrians and cyclists, but junctions with roads are a safety concern and act as a potential impediment to active transportation. This study evaluated crossing behavior patterns and safety at greenway⁻road junctions in New Orleans, LA. Crossing behaviors, safety and motor vehicle behavior were collected using direct observation methods. Intercept surveys were conducted to assess greenway use and safety perceptions. Logistic and negative binomial regression were used to assess the relationships between crossing signal (rectangular rapid flash beacon) activation and motor vehicle behavior. Fewer unsafe crossings occurred when the crossing signals were activated for cyclists and pedestrians (

Indexed as

PedestriansSafetyAdultAutomobile DrivingBehaviorBicyclingFemaleHumansMaleMiddle AgedMotor VehiclesNew OrleansSurveys and QuestionnairesWalkingcyclist safetygreenwaymotor vehicle yieldingpedestrian safetyrectangular rapid flash beacon

Identifiers

PMID30642047
PMCPMC6352138

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.