Data for meta-analysis on interversions reducing car use - Open Research Data - Bridge of Knowledge

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Data for meta-analysis on interversions reducing car use

Description

This dataset contains the results of a meta-analysis of reported interventions reducing car use. To standardise intervention effects reported in different scales, the  Hedges’ g effect size measure was used (ratio of raw difference in samples’ means and pooled standard deviation).  The standardised studies outcomes, along with overall outcome, were summarized in forest plot. For each study, the plot represents a standardised effect size (represented by a point) and a 95 % confidence interval (usually represented by a horizontal line). The mean effect size is considered small if lower than |0.2|, large if it exceeds |0.8|, and moderate between these thresholds.
‘Intervention’, for this study purposes, is defined as “any policy, program, or environmental change (physical and/or social) used to promote specific health behaviours or goals.” (Lakerveld et al., 2020 https://doi.org/10.1016/j.foodpol.2020.101873). The meta-analysis is a part of a systematic review study published in the Transportation Research Part D: Transport and Environment  Volume 131, 2024 (https://doi.org/10.1016/j.trd.2024.104217)
 
The study was conducted within the Policy Evaluation Network project (PEN, https://www.jpi-pen.eu), funded by the Joint Programming Initiative “A Healthy Diet for a Healthy Life”, a research and innovation initiative of EU member states and associated countries.

Dataset file

meta-analysis.xlsx
321.1 kB, S3 ETag ccb4eac5921de27712d762a38c32a7e0-1, downloads: 12
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2024
Verification date:
2024-05-31
Dataset language:
English
Fields of science:
  • civil engineering, geodesy and transport (Engineering and Technology)
  • health sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/1m8e-y557 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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