A study on urban residents' intention to choose green transportation modes based on the 2T composite model : A case study of Beijing, China

Promoting green transportation has become a key priority in urban planning worldwide. Mobility-as-a-Service (MaaS) platforms have gained increasing adoption as an innovative solution that integrates various modes of transport to optimize resource allocation and enhance travel efficiency and convenience. However, the public's acceptance of MaaS platforms and their impact on the intention to adopt green transportation options remain underexplored. This study focuses on urban residents in Beijing and develops a dual-technology model (2 T model), combining the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). The model was empirically tested using questionnaire data from 355 residents in Beijing, with analyses conducted through Smart PLS 4.0 and Amos 23.0 to examine the factors influencing the intention to adopt green transportation. The findings reveal that perceived usefulness and perceived ease of use positively influence residents' intention to use green transportation. Moreover, attitudes toward green transportation, subjective norms, and perceived behavioral control mediate and enhance this effect. This research provides substantial empirical support for the promotion of MaaS platforms and the formulation of green transportation policies. It also confirms that TAM and TPB are effective frameworks for understanding green transportation adoption, offering valuable theoretical insights for policy interventions.