TY - JOUR
T1 - Interventions Reducing Car Usage
T2 - Systematic Review and Meta-analysis
AU - Okraszewska, Romanika
AU - Romanowska, Aleksandra
AU - Laetsch, Dana Clarissa
AU - Gobis, Anna
AU - Reisch, Lucia A.
AU - Kamphuis, Carlijn B.M.
AU - Lakerveld, Jeroen
AU - Krajewski, Piotr
AU - Banik, Anna
AU - Braver, Nicolette R. den
AU - Forberger, Sarah
AU - Brenner, Hermann
AU - Żukowska, Joanna
PY - 2024/6
Y1 - 2024/6
N2 - This systematic literature review aimed to investigate the extent to which transport-related interventions induced a reduction in car use. Both qualitative synthesis and meta-analysis were employed. The synthesis included 31 original studies, while the meta-analysis included 21. Of the qualitatively synthesised studies, 74 % demonstrated that interventions were effective in reducing car use. The pooled estimates of the effects showed a significant reduction in car usage with a mean effect size of Hedges’ g = -0.117 (p = 0.024). The effect strongly varies across the studies due to considerable heterogeneity (I2 = .98, with a 95 % prediction interval from −0.589 to 0.355). At the moderator level, no significant differences were identified in the mean effect sizes for any subgroups, and the key factors could not be distinguished. The current body of evidence highlights that transport-related interventions can significantly influence car usage reduction, while literature suggests that this may benefit environment and society.
AB - This systematic literature review aimed to investigate the extent to which transport-related interventions induced a reduction in car use. Both qualitative synthesis and meta-analysis were employed. The synthesis included 31 original studies, while the meta-analysis included 21. Of the qualitatively synthesised studies, 74 % demonstrated that interventions were effective in reducing car use. The pooled estimates of the effects showed a significant reduction in car usage with a mean effect size of Hedges’ g = -0.117 (p = 0.024). The effect strongly varies across the studies due to considerable heterogeneity (I2 = .98, with a 95 % prediction interval from −0.589 to 0.355). At the moderator level, no significant differences were identified in the mean effect sizes for any subgroups, and the key factors could not be distinguished. The current body of evidence highlights that transport-related interventions can significantly influence car usage reduction, while literature suggests that this may benefit environment and society.
KW - Car usage reduction
KW - Active travel
KW - Transport intervention
KW - Systematic review
KW - Meta-analysis
KW - Car usage reduction
KW - Active travel
KW - Transport intervention
KW - Systematic review
KW - Meta-analysis
U2 - 10.1016/j.trd.2024.104217
DO - 10.1016/j.trd.2024.104217
M3 - Review article
SN - 1361-9209
VL - 131
JO - Transportation Research. Part D: Transport & Environment
JF - Transportation Research. Part D: Transport & Environment
M1 - 104217
ER -