Optimization of Bike Sharing Service: Its Acceptance and Preferences

• Published in: 2020 11th IEEE Control and System Graduate Research Colloquium, ICSGRC 2020 - Proceedings
• Main Author: Aishah Tengku Aziz T.N.; Faiz Mazlan M.; Tarudin N.F.; Elma Kordi N.; Mohd Badrillah M.I.; Abdul Latif A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096891875&doi=10.1109%2fICSGRC49013.2020.9232535&partnerID=40&md5=45a402e5ed5d95a47b8d30037dbc336d

Non-motorized transport can be seen as one of the important mode that is considered as sustainable transport system. There are many types of non-motorized transport such as cycling, walking, rollerblading also known as skating, rickshaws and other types that does not used combustion engine to move. This study focus on bike-share service since it has been widely used and recognized as one of the alternative in going towards sustainable future for human society. Thus, it is one of the current service implemented in Malaysia. Recently, bike-share system has been widely used around the world which have helped to promote cycling as a viable and valued transport option. In going towards sustainable future, bike sharing service is a must for a country to ensure the green initiatives to be applied smoothly. Using 2016 data from TomTom Traffic Index website, this paper examines congestion rate of traffic flow during that time at Bukit Bintang area. Regardless of promoting the usage of bicycle as one of the best alternative in going towards sustainable living, the utilization rate was seen to be still low due to the congestion level and usage of other types of vehicle. Questionnaire surveys were carried out. Two identified factors used to forecast public views in using bicycle: 1) Environmental Factors; and 2) Subjective Norm Factors were seen influenced the decision of using bicycle as one of the alternative to avoid congestion. Multiple Regression analysis is used to identify the relationships between these factors and its influence towards public views on bicycle usage. It provides strategies to change the choice of using bicycle as the alternative in going towards green and sustainable living. © 2020 IEEE.