Proceedings of the 6th Aceh International Symposium on Civil Engineering (AISCE 2025)

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Evaluation of Mode Choice and Preferences for Electric Vehicles in Baiturrahman District Utilizing RP and SP Data

Authors
Nana Maulana Tengku1, 4, Sugiarto Sugiarto2, 4, *, Yusria Darma2, 4, Sofyan M. Saleh2, 4, Renni Anggraini2, 4, T. Robby Irza3, 4
1Master Study of Civil Engineering, Engineering Faculty, Syiah Kuala University, 23111, Banda Aceh, Indonesia
2Department of Civil Engineering, Engineering Faculty, Syiah Kuala University, 23111, Banda Aceh, Indonesia
3Doctoral Program, Post Graduate School, Engineering Faculty, Syiah Kuala University, 23111, Banda Aceh, Indonesia
4Research Center for Environmental and Natural Resources, Syiah Kuala University, 23111, Banda Aceh, Indonesia
*Corresponding author. Email: sugiarto@usk.ac.id
Corresponding Author
Sugiarto Sugiarto
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-952-0_27How to use a DOI?
Keywords
Electric Vehicles; Binary Logit; Bayesian logistic regression; Operational costs; Charging infrastructure; Revealed Preference; Stated Preference; Sustainable transportation
Abstract

The development of electric vehicles (EVs) is one of the main strategies in supporting sustainable and low-emission transportation. However, the EV adoption rate at the local level still faces constraints, especially related to operational costs and charging infrastructure. This study aims to analyze people’s preferences for electric vehicles and the factors that affect their election in Baiturrahman District, Banda Aceh City. Data were obtained from 73 respondents through a structured survey with the Revealed Preference (RP) and Stated Preference (SP) approaches. The analysis was performed using binary logistic regression (MLE) and Bayesian logistic regression (MCMC) to strengthen the validity of the results. The estimated results showed that the variables of operating costs (X9) and access to charging infrastructure (X3) had a significant effect on the probability of respondents choosing EVs. The binary logit model has good predictive performance with an AUROC value of 0.803, while Bayesian results confirm operational costs as the main determinant of EV adoption. These findings indicate that strategies to reduce operational costs through economic incentives, as well as accelerate the development of charging infrastructure, are key steps in encouraging people’s transition to electric vehicles. Thus, this study provides important implications for the formulation of sustainable transportation policies in Indonesia’s urban areas.

Copyright
© 2025 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.

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Volume Title
Proceedings of the 6th Aceh International Symposium on Civil Engineering (AISCE 2025)
Series
Advances in Engineering Research
Publication Date
26 December 2025
ISBN
978-94-6463-952-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-952-0_27How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Nana Maulana Tengku
AU  - Sugiarto Sugiarto
AU  - Yusria Darma
AU  - Sofyan M. Saleh
AU  - Renni Anggraini
AU  - T. Robby Irza
PY  - 2025
DA  - 2025/12/26
TI  - Evaluation of Mode Choice and Preferences for Electric Vehicles in Baiturrahman District Utilizing RP and SP Data
BT  - Proceedings of the 6th Aceh International Symposium on Civil Engineering (AISCE 2025)
PB  - Atlantis Press
SP  - 331
EP  - 339
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-952-0_27
DO  - 10.2991/978-94-6463-952-0_27
ID  - Tengku2025
ER  -