Springer Nature OA
open access
CC BY 4.0
Modeling behavioral intention to adopt autonomous vehicles: an extended decomposed theory of planned behavior
Autonomous vehicles (AVs) have the potential to transform future mobility systems, yet their adoption remains limited in many developing and transitional economies. This study extends the Decomposed Theory of Planned Behavior (DTPB) by incorporating Knowledge of Autonomous Vehicles (KAV) and Perceiv
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Learning the Limits: How Communicating System Limitations Shapes Mental Models, Trust, and Acceptance in Conditionally Automated Driving Systems (Dataset)#207668
- The potential of incorporating mindsponge into the Technological Acceptance Model#93665
- Building destination brands through trust: unpacking the role of digital integrated marketing communication in driving travel intentions.#182356
- LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark#819657
- LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark#809661
Record · ID 1020727
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive