Nepal Engineering College | Thesis Abstract

All Thesis Abstracts

Sustainability Assessment of Labdhu Dhikure Irrigation Project, Likhu Rural Municipality, Khanigaun, Nuwakot.

Yuba Raj Mishra

Dr. Dinesh Sukamani

Assessment of Knowledge and Technology Transfer in Building Construction Projects Executed by 'A' class Contractors in Kathmandu Valley, Nepal.

Arati Devkota

Asst. Prof. Sabir Baidya

Assessment of Post-Fire Safety Compliance and Emergency Preparedness in Post-Fire Restored Government Buildings.

Roshna Guragain

Assist. Prof. Dr. Dinesh Sukamani

Comparative Assessment of Design-Bid-Build and Design-Build Procurement Methods on Bridge Project Performance of the Department of Roads in Nepal.

Raju Prasad Poudel

Asst. Prof. Dinesh Sukamani

Development of Prioritization Framework for Post-Fire Rehabilitation Intervention Decision in Fire Damaged Buildings: Reference from Federal Minister Quarter Buildings at Bhaisepati, Lalitpur.

Ajaya Bista

Dr. Dinesh Sukamani

Rainwater Harvesting Systems as a Sustainable Solution for Urban Water Scarcity: Case Study of Suryabinayak Municipality.

Pratikshya Ghimire

Mr. Jagam Shrestha

Predicting E-Mobility Adoption in Nepal: An Analytic Hierarchy Process and System Dynamics Approach.

Student: Roshan Yadav

Supervisor: Er. Bishnu Prasad Devkota

Submitted Date: September, 2026

Abstract

The transition to electric mobility is increasingly important for reducing fossil fuel dependence, greenhouse gas emissions, and urban air pollution. Nepal has significant potential for electric vehicle (EV) adoption due to its abundant hydropower resources, 100% green electricity grid and growing interest in sustainable transportation. However, EV adoption is influenced by interconnected economic, technological, social, policy, and infrastructure factors. This study aims to identify and prioritize the key factors influencing EV adoption in Nepal and examine the long-term dynamics of EV market growth using an integrated Analytic Hierarchy Process (AHP) and System Dynamics (SD) approach. The AHP analysis evaluated four main criteria and sixteen sub-criteria influencing EV adoption based on expert judgments. The results show that economic factors were the most influential criterion (56.5%), followed by technological (26.2%), social (11.8%), and policy and infrastructure factors (5.5%). Among the sixteen sub-criteria, purchase price ranked first (31.9%), followed by operation and maintenance cost (14.8%), driving range (14.8%), charging infrastructure availability (6.9%), and finance options (6.6%). These findings indicate that affordability is the dominant consideration influencing EV adoption in Nepal. A System Dynamics model was subsequently developed in Vensim software to simulate EV adoption and vehicle stock dynamics under different scenarios. The model incorporated EV and internal combustion engine vehicle stocks, vehicle sales, adoption, scrappage, market share, and policy factors. The simulation results demonstrate that EV adoption follows a non-linear diffusion pattern and that policy interventions, particularly those affecting vehicle affordability through import taxation, can significantly influence the pace of EV adoption and the transition from conventional vehicles to EVs. Overall, the integrated AHP–SD analysis highlights the importance of reducing upfront costs, improving financing opportunities through reducing import tax supportive policies to accelerate Nepal’s transition toward sustainable electric mobility.

Keywords

Electric Vehicle Adoption, Nepal, AHP, System Dynamics, Diffusion, Import Tax, Sustainable Transportation

THESIS ABSTRACT