TY - GEN
T1 - A Study on Electric Motorcycle Riding Experiences and Satisfaction
T2 - 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024
AU - Budiman, Aryan Chandra
AU - Fajratama, Muhammad Dzaky
AU - Ghaisani, Disma Nidya
AU - Nurdini, Arief
AU - Nurcahyo, Rahmat
AU - Habiburrahman, Muhammad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Recently, the Indonesian government has made a heightened effort to urge the public to embrace electric vehicles. This encouragement extends to public transportation, including ride-hailing services, where the promotion of electric vehicles, particularly motorcycles, is actively underway. This study aims to explore the riding experience and satisfaction of electric motorcycle ride-hailing drivers for the green city. Data were collected from 30 respondents operating electric motorcycle ride-hailing services using questionnaires that covered demographic information, socio-economic factors, driving experience, and Likert-scale questionnaires to measure the perceived experiences of electric motorcycle ride-hailing drivers. The study employed Spearman's rank correlation to compare the relationships between various factors. The factors analyzed included accessibility, economy, Quality, Comfort, acceleration, environmental impact, and Safety. The results revealed significant correlations perceived by electric motorcycle ride-hailing drivers. Notably, there were significant correlations between Accessibility and Quality, Comfort, and Safety. Additionally, Quality exhibited significant correlations with Comfort and Safety, while Comfort showed significant correlations with Safety. However, no significant correlations were found for Economy, Acceleration, and Environmental factors. This study provides valuable insights into the factors contributing to the perceived riding experience and satisfaction of electric motorcycle ride-hailing drivers, offering implications for improving service quality and designing future electric mobility solutions.
AB - Recently, the Indonesian government has made a heightened effort to urge the public to embrace electric vehicles. This encouragement extends to public transportation, including ride-hailing services, where the promotion of electric vehicles, particularly motorcycles, is actively underway. This study aims to explore the riding experience and satisfaction of electric motorcycle ride-hailing drivers for the green city. Data were collected from 30 respondents operating electric motorcycle ride-hailing services using questionnaires that covered demographic information, socio-economic factors, driving experience, and Likert-scale questionnaires to measure the perceived experiences of electric motorcycle ride-hailing drivers. The study employed Spearman's rank correlation to compare the relationships between various factors. The factors analyzed included accessibility, economy, Quality, Comfort, acceleration, environmental impact, and Safety. The results revealed significant correlations perceived by electric motorcycle ride-hailing drivers. Notably, there were significant correlations between Accessibility and Quality, Comfort, and Safety. Additionally, Quality exhibited significant correlations with Comfort and Safety, while Comfort showed significant correlations with Safety. However, no significant correlations were found for Economy, Acceleration, and Environmental factors. This study provides valuable insights into the factors contributing to the perceived riding experience and satisfaction of electric motorcycle ride-hailing drivers, offering implications for improving service quality and designing future electric mobility solutions.
KW - Driver Satisfaction
KW - Electric Motorcycles
KW - Green City
KW - Ride-Hailing
KW - Riding Experience
UR - http://www.scopus.com/inward/record.url?scp=85190546191&partnerID=8YFLogxK
U2 - 10.1109/ICETSIS61505.2024.10459358
DO - 10.1109/ICETSIS61505.2024.10459358
M3 - Conference contribution
AN - SCOPUS:85190546191
T3 - 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024
SP - 1188
EP - 1191
BT - 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 January 2024 through 29 January 2024
ER -