A dataset on MaaS adoption and usage behavior among Thai commuters
Description
A survey dataset of 418 Thai public commuters regarding their intention to adopt Mobility as a Service (MaaS). Collected via random sampling (Dec 2022 – Feb 2023), the data measures 12 key constructs of technology acceptance, including Performance Expectancy, Risk, and Price Sensitivity, as well as demographic and commuting patterns. It includes full validation metrics (HTMT, SEM, CFA) and is suitable for comparative studies on digital mobility services in developing countries.
Files
Steps to reproduce
Data was collected between December 2022 and February 2023 from Thai e-hailing users via Google Forms using a structured questionnaire with 5-point Likert scales, adapted from UTAUT2 and validated by experts. There are 418 valid cases from 500 initial responses. The study received ethical approval from the Mae Fah Luang University Ethics Committee (COE: 235/2023), followed ICH GCP guidelines, and obtained informed consent from all participants.
Institutions
- Muroran Institute of TechnologyHokkaido, Muroran