Yiting Wang , Congxu Li , Songlin Yang , Long Ye , Ming Guo
{"title":"基于2T复合模型的城市居民绿色交通方式选择意愿研究——以北京市为例","authors":"Yiting Wang , Congxu Li , Songlin Yang , Long Ye , Ming Guo","doi":"10.1016/j.rtbm.2025.101376","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"60 ","pages":"Article 101376"},"PeriodicalIF":4.1000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on urban residents' intention to choose green transportation modes based on the 2T composite model: A case study of Beijing, China\",\"authors\":\"Yiting Wang , Congxu Li , Songlin Yang , Long Ye , Ming Guo\",\"doi\":\"10.1016/j.rtbm.2025.101376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":47453,\"journal\":{\"name\":\"Research in Transportation Business and Management\",\"volume\":\"60 \",\"pages\":\"Article 101376\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Business and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210539525000914\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210539525000914","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
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.
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector