Environmental Commitment Indicator Framework for Electric Vehicle Purchasing Based on a Survey: Methodological Framework and Implementation

The rapid expansion of electromobility increases the need to understand how environmental values shape electric vehicle (EV) purchasing decisions. Despite extensive research on environmental attitudes and EV adoption, no EV specific framework exists for quantifying consumer level environmental commitment. This study addresses this gap by developing an Environmental Commitment Indicator Framework (ECIF) based on a structured survey. Environmental commitment is measured across four dimensions–knowledge, attitude, behaviour, and motivation–and integrated into a transparent composite indicator. A pilot questionnaire was administered to 78 respondents at two EV related public events to assess value-based consumer behaviour and test measurement reliability. The methodology includes questionnaire design, data collection, normalization of mixed response formats to a 0‐1 scale, calculation of sub-indices, and construction of a composite Environmental Commitment Index: ECI = 0.2×Knowledge + 0.3×Attitude + 0.3×Behaviour + 0.2×Motivation. Reliability was evaluated using Cronbach’s α, and dimensional validity through exploratory factor analysis. The framework was implemented in Excel to enable automated scoring and visualization. Findings show that the ECIF captures meaningful variation in environmental commitment and reveals patterns linked to EV purchasing intent. A wide range of literature published between 2000 and 2024 was reviewed using multiple search engines and databases, including Google Scholar, Web of Science, Scopus, ScienceDirect, and MDPI; however, these searches consistently returned only general environmental attitude studies, EV adoption models, or sustainability metrics, and none of them included an EV???specific Environmental Commitment Indicator Framework offering a practical, scalable tool for research and policy applications.

Authors

Institutions

Publication Details

Journal
The Journal of Solid Waste Technology and Management
Published
2026-02-14
DOI
https://doi.org/10.5276/jswtm/iswmaw/521-2/2026.302
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental Commitment Indicator Framework for Electric Vehicle Purchasing Based on a Survey: Methodological Framework and Implementation

József Kovács, Habil. Monika Garai-Fodor
The Journal of Solid Waste Technology and Management
Electric Vehicles and Infrastructure
article

Environmental Commitment Indicator Framework for Electric Vehicle Purchasing Based on a Survey: Methodological Framework and Implementation

József Kovács, Habil. Monika Garai-Fodor
article en

Abstract

The rapid expansion of electromobility increases the need to understand how environmental values shape electric vehicle (EV) purchasing decisions. Despite extensive research on environmental attitudes and EV adoption, no EV specific framework exists for quantifying consumer level environmental commitment. This study addresses this gap by developing an Environmental Commitment Indicator Framework (ECIF) based on a structured survey. Environmental commitment is measured across four dimensions–knowledge, attitude, behaviour, and motivation–and integrated into a transparent composite indicator. A pilot questionnaire was administered to 78 respondents at two EV related public events to assess value-based consumer behaviour and test measurement reliability. The methodology includes questionnaire design, data collection, normalization of mixed response formats to a 0‐1 scale, calculation of sub-indices, and construction of a composite Environmental Commitment Index: ECI = 0.2×Knowledge + 0.3×Attitude + 0.3×Behaviour + 0.2×Motivation. Reliability was evaluated using Cronbach’s α, and dimensional validity through exploratory factor analysis. The framework was implemented in Excel to enable automated scoring and visualization. Findings show that the ECIF captures meaningful variation in environmental commitment and reveals patterns linked to EV purchasing intent. A wide range of literature published between 2000 and 2024 was reviewed using multiple search engines and databases, including Google Scholar, Web of Science, Scopus, ScienceDirect, and MDPI; however, these searches consistently returned only general environmental attitude studies, EV adoption models, or sustainability metrics, and none of them included an EV???specific Environmental Commitment Indicator Framework offering a practical, scalable tool for research and policy applications.

The Journal of Solid Waste Technology and ManagementVol. 52(1)
Obuda University (HU)
Life in Land
Openalex Percentile: Top 41%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.