IGES Rural Mobility and Electric Vehicle Adoption Survey (Japan), 2025 — Responses and SEM Output

Description

This dataset contains anonymized responses from a nationwide online household survey conducted in Japan to examine determinants of electric vehicle (EV) adoption intention, with particular relevance to rural mobility, charging infrastructure readiness, and social influence. The survey includes demographic and travel-behavior measures alongside Likert-scale items capturing perceived charging infrastructure satisfaction, social influence, perceived sustainability/resilience value of EVs, and EV adoption intention. The dataset supports structural equation modeling (SEM) analyses reported in the associated manuscript on EV adoption strategies in rural Japan. The deposit includes the survey responses in both CSV and SPSS (.sav) formats, as well as the AMOS output file used for SEM estimation and model fit evaluation. Variables are provided as collected; the Likert scale is coded 1 = agree to 4 = disagree (not reverse-coded). The AMOSOutput file contains model estimation results and fit statistics generated from the deposited survey data. Recommended use: replication of SEM results, robustness checks, and secondary analysis of EV adoption intentions and related perceptions in Japan. Notes on ethics and privacy: direct personal identifiers were removed prior to deposit. Users should not attempt to re-identify respondents. Version: v1.0 Geographic coverage: Japan (nationwide) Time period: Survey fielding period not disclosed publicly to protect respondent confidentiality.

Steps to reproduce

Open the survey dataset using either Survey IGES 1000 Responses.csv (any statistical software) or Survey IGES 1000 Responses.sav (SPSS). Confirm the Likert coding used in the questionnaire: 1 = agree, 4 = disagree (not reverse-coded). Lower numeric values indicate stronger agreement with pro-EV statements. Construct the latent variables as defined in the associated manuscript: Social Influence, Infrastructure Satisfaction, Sustainability/Resilience Perceptions, and EV Adoption Intention, using the corresponding survey items. Estimate the SEM using AMOS or equivalent SEM software (maximum likelihood). Evaluate model fit using χ²/df, CFI, TLI, RMSEA, and related indices. The file SEM IGES SURVEY 1000.AmosOutput contains the AMOS-generated outputs corresponding to the SEM results reported in the manuscript (fit indices, regression weights, standardized estimates, and covariances).

Institutions

• Kyoto University

  Kyoto, Kyoto
• Institute for Global Environmental Strategies

  Kanagawa, Hayama

Categories

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