Trends and Challenges in Simulation Modeling for Electric Motorcycle Adoption: Insights from a Bibliometric Study
- DOI
- 10.2991/978-94-6239-687-6_30How to use a DOI?
- Keywords
- Electric Motorcycle; Adoption; Bibliometric Analysis; Sustainable Transportation; Technology Acceptance
- Abstract
This paper presents a comprehensive bibliometric analysis of research on the adoption of electric motorcycles, with a particular focus on simulation and modeling approaches. Data were retrieved from the Scopus database for the period 2011–2025 using targeted keywords related to electric motorcycles, adoption, simulation, and modeling. The analysis was conducted using the Bibliometrix R package and VOSviewer, employing parameters such as publication year, document type, and keyword co-occurrence. The results reveal a significant upward trend in related publications, especially after 2019, with “electric vehicle” and “electric motorcycle” identified as dominant research themes. The findings highlight the growing academic interest in simulation modeling as a valuable tool to understand the complex factors influencing electric motorcycle adoption. This study provides insights into emerging research hotspots and suggests future directions for advancing sustainable transportation through simulation-based studies.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Agus Hindarto Wibowo AU - Budisantoso Wirjodirdjo AU - Moses Laksono Singgih PY - 2026 DA - 2026/05/24 TI - Trends and Challenges in Simulation Modeling for Electric Motorcycle Adoption: Insights from a Bibliometric Study BT - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025) PB - Atlantis Press SP - 439 EP - 452 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6239-687-6_30 DO - 10.2991/978-94-6239-687-6_30 ID - Wibowo2026 ER -