INFLUENCE OF THE CAR SHARING SERVICE ON PUBLIC TRANSPORT USAGES

Abstract

The present study is to study how can Ha:mo usages affect to walking, and public transport by evaluating the autonomy. The study was focused on the long-term users during Oct. to Nov., 2019. Travel distance, velocity, frequency of transport, and fare were collected by exploring the transport situation. The main indicator was the accessibility index calculated by MATLAB. The original mathematical modelling of accessibility index was developed into the implicit function based on travel cost, travel time, and travel modes. The findings showed car sharing service in university could be adopted to connect trips between public transportations. hence, Ha:mo contributed to make more walking, and more convenient transports covering areas. However, still lack of Personal Miles Travel ‘s equations to predict the travel behaviors. The findings can contribute to use car sharing service instead of using public transport. Therefore, this contribution can reduce more traffic congestion, and reduce private cars