Extraction dataset for: Why electrification alone cannot decarbonize passenger transport: a systematic review

This dataset supports the systematic review "Why electrification alone cannot decarbonize passenger transport: a systematic review of system boundaries and the Avoid–Shift–Improve framework" (Gutiérrez Pascual et al., 2025, submitted to Transportation Research Part D: Transport and Environment). The dataset contains the structured extraction coding for all 46 peer-reviewed studies included in the final synthesis, identified through a Scopus database search (September 2025) and backward and forward citation tracking. Each record corresponds to one included study and captures the following variables: study reference and publication year; geographic focus and spatial scale; ASI pillar classification (Avoid, Shift, Improve, Shift/Improve, or Integrated ASI); sub-strategy; whether the study adopts a multi-pillar approach; analytical method (life-cycle assessment, scenario/integrated-assessment model, empirical analysis, policy assessment, or review); system boundary (tailpipe, operational/energy-system, partial well-to-wheel, full life cycle, or unspecified); reported emission-reduction estimate or key finding; baseline metric and temporal horizon; key limitation as reported by the original study; identification source (database search or snowball); and methodological quality rating (High, Medium, or Low) based on the appraisal criteria described in the Methods section of the associated review. The dataset was used to produce the bibliometric analysis, the ASI pillar and system-boundary distributions, the attention-effort mismatch figure, and the evidence synthesis reported in the paper.