Modelling on the readiness in implementation of bike sharing system at university
List of Authors
  • Lee Fui Jun , Mohd Azizul Ladin

Keyword
  • Parking Charging System, State Preference Survey, Linear Regression

Abstract
  • Private vehicle ownership in University Malaysia Sabah (UMS) has increased year after year, resulting in severe traffic congestion, particularly during peak hours. In this research, it is hypothesised that the mode of transportation chosen by UMS students may be determined by the affordability of the bike sharing system's rental fee. This research has been carried out to model on Faculty of Science and Natural Resources student’s readiness to implement bike sharing system at University Malaysia Sabah. The key objective of this research is to develop transport model of the user’s readiness to shift from the private vehicle to bike sharing system in terms of rental charging factor (per use and per hour) in Ringgit Malaysia (RM). In the conclusion of the study, a transportation model on rental charges will be established, and it is anticipated that once rental pricing is introduced, the percentage of private vehicles that are converted to bike sharing will increase. Transferring private car users to a bike sharing scheme has the potential to lower the number of private automobiles in the UMS and so assist alleviate traffic congestion. Hypothetically, this concept is seen necessary for mitigating the negative influence of private vehicles in UMS. The Stated Preference Survey was employed in this study. Questionnaires were prepared and delivered online to 160 responders. Following that, the data is analysed using linear regression to create a logistic model. The model predicts that the number of individuals ready to use bike sharing system increase linearly when the rental charging fee decreases. Therefore, as the rental charging fee reduce, more people will shift to bike sharing system.

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