TY - GEN
T1 - From the Users' and the Operators' Perceptions: The Potential of Carsharing in Hong Kong
AU - Ahmed, Saad
AU - Xu, Min
AU - Tsz Ching, Huen
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2022/4/11
Y1 - 2022/4/11
N2 - Traffic congestion has been a severe issue in Hong Kong. The traffic issues have decreased the satisfaction of living and the quality of the environment. Hence, finding a solution for current issues is a top priority. The emerging trend of car-sharing has attracted attention all over the world. To explore the potential of car-sharing services in Hong Kong, it is essential to understand car-sharing services from the public and the operator's point of view. This study conducts an online survey that aims to identify the factors, such as demographics, driving habits, and car-sharing service attributes, etc., that influence the likelihood of people using carsharing services. The survey collected 213 responses for the multiple regression model to identify the factors that affect people using a car-sharing service. The results indicated that people with less monthly income, fewer owned vehicles, less reliance on public transport, and believe more in car-sharing service is an alternative to car ownership and online booking is an advantage to car-sharing service are more likely to use car-sharing service in Hong Kong. In addition, the attitude toward the carsharing service of most of the respondents is positive. However, the survey results and interview findings show that the publicity of car-sharing is inadequate, and lack of support from the local government is causing low familiarity of the concept, which resulted in low participation of the public in car-sharing services. Therefore, recommendations to the operators are given at the end of this paper to better develop the car-sharing service in Hong Kong.
AB - Traffic congestion has been a severe issue in Hong Kong. The traffic issues have decreased the satisfaction of living and the quality of the environment. Hence, finding a solution for current issues is a top priority. The emerging trend of car-sharing has attracted attention all over the world. To explore the potential of car-sharing services in Hong Kong, it is essential to understand car-sharing services from the public and the operator's point of view. This study conducts an online survey that aims to identify the factors, such as demographics, driving habits, and car-sharing service attributes, etc., that influence the likelihood of people using carsharing services. The survey collected 213 responses for the multiple regression model to identify the factors that affect people using a car-sharing service. The results indicated that people with less monthly income, fewer owned vehicles, less reliance on public transport, and believe more in car-sharing service is an alternative to car ownership and online booking is an advantage to car-sharing service are more likely to use car-sharing service in Hong Kong. In addition, the attitude toward the carsharing service of most of the respondents is positive. However, the survey results and interview findings show that the publicity of car-sharing is inadequate, and lack of support from the local government is causing low familiarity of the concept, which resulted in low participation of the public in car-sharing services. Therefore, recommendations to the operators are given at the end of this paper to better develop the car-sharing service in Hong Kong.
KW - Car-sharing
KW - Multiple linear regression model
KW - Transportation survey
UR - http://www.scopus.com/inward/record.url?scp=85128621030&partnerID=8YFLogxK
U2 - 10.1145/3512576.3512669
DO - 10.1145/3512576.3512669
M3 - Conference article published in proceeding or book
AN - SCOPUS:85128621030
T3 - ACM International Conference Proceeding Series
SP - 545
EP - 553
BT - ICIT 2021 - Proceedings of the 9th International Conference on Information Technology
PB - Association for Computing Machinery
T2 - 9th International Conference on Information Technology: IoT and Smart City, ICIT 2021
Y2 - 22 December 2021 through 25 December 2021
ER -