Electronic Theses and Dissertation

Abstrak kota banda aceh adalah satu diantara wilayah perkotaan di indonesia yang tengah menghadapi akselerasi pembangunan di berbagai sektor, termasuk sektor transportasi. mobil listrik berbasis baterai (battery electric vehicles) mulai dipertimbangkan sebagai solusi strategis untuk mengatasi persoalan lingkungan. penelitian ini bertujuan untuk memodelkan pemilihan moda mobil listrik dan mobil konvensional serta menentukan faktor-faktor signifikan apa saja yang mempengaruhi pemilihan moda transportasi mobil listrik di kota banda aceh dengan menggunakan metode stated preference dan revealed preference yang akan dilakukan di 5 kecamatan kota banda aceh dengan penyebaran kuesioner serta didukung dengan pengisian kuesioner secara hybrid melalui google form dan wawancara langsung yang nantinya hasil penelitian akan diolah menggunakan software microsoft excel dan stata mp/17. metode pemodelan dan analisis data yang digunakan adalah model pemilihan diskrit (discrete choice model) dengan metode analisis regresi logit biner. hasil survei revealed preference (rp) menunjukkan probabilitas pemilihan kendaraan pribadi sebesar 83% dan kendaraan umum sebesar 17% dengan variabel atribut yang signifikan berupa usia, asal zona kecamatan, frekuensi pengguna kendaraan pribadi sepeda motor, frekuensi pengguna kendaraan pribadi mobil penumpang dan biaya rata-rata pengguna kendaraan pribadi dengan. selanjutnya hasil survei stated preference (sp) menunjukkan probabilitas pemilihan kbl sebesar 82% dan kbbm sebesar 18% dengan variabel atribut yang signifikan diantaranya keinginan membeli mobil listrik 1 tahun kedepan, keinginan membeli mobil listrik > 5 tahun, skala kemungkinan membeli mobil listrik dimasa depan, alasan kendaraan masa depan, alasan kendaraan ramah lingkungan, biaya operasional lebih rendah dan harga servis yang mahal. kata kunci: mobil listrik, stated preference, revealed preference, discrete choice model, dan regresi logit biner

ABSTRACT Banda Aceh city is one of the urban areas in Indonesia currently experiencing accelerated development across various sectors, including the transportation sector. Battery electric vehicles (BEVs) are increasingly being considered as a strategic solution to address environmental issues. This study aims to model the choice between electric vehicles and conventional vehicles and to identify the that influence the choice of electric vehicles in the city of Banda Aceh. The study will employ Stated Preference and Revealed Preference methods, conducted across 5 sub-districts of Banda Aceh through questionnaire distribution, supplemented by a hybrid approach using Google Forms and face-to-face interviews. The research data will be analyzed using Microsoft Excel and STATA MP/17. The data modeling and analysis method used is a discrete choice model with binary logit regression analysis. The results of the Revealed Preference (RP) survey indicate a 83% probability of choosing private vehicles and a 17% probability of choosing public transportation, with significant attribute variables including age, subdistrict of origin, frequency of private motorcycle use, frequency of private passenger car use, and average cost of private vehicle use. Furthermore, the Stated Preference (SP) survey results indicate a probability of choosing electric vehicles (EVs) of 82% and internal combustion engine vehicles (ICEVs) of 18%, with significant attribute variables including the intention to purchase an electric vehicle within the next year, the intention to purchase an electric vehicle in more than 5 years, the likelihood of purchasing an electric vehicle in the future, reasons for future vehicle choice, reasons for choosing environmentally friendly vehicles, lower operational costs, and high service costs. Keywords: Electric Vehicles, Stated Preference, Revealed Preference, Discrete Choice Model, dan Binary Logit Regression