Exploring the Key Factors of the Bike Feeding to Rail Transportation System-Example of MRT

• Main Authors: Wei-Hsuan Chao, 趙維萱
• Other Authors: How-Ming Shieh
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/57396296323678929273

碩士 === 國立中央大學 === 土木工程學系 === 101 === The reason of global warming and insufficient energy, worldwide are dedicating to reduce carbon emissions and promoting the use green energy. On the aspect of transportation, developing green transportation will be a positive orientation. When going outside, encourage people to take public transportation systems or higher environmental value of non-motorized (bikes) vehicles as more as possible instead of private motor vehicle. According to the public transportation and bike could supplement each other, integration of bike and public transportation might be a strategy of urban development. In the past, there were fewer studies to discuss the influence factors of commuters using bike to connect to public transportation systems. Therefore, this research will adopt an empirical analysis of the Taipei MRT commuters travelers as objects, and using Structural Equation Modeling methodology to construct the influence factors of bicycle commuters connecting to MRT transit system, and verify the relationship among these variable. The subjects were divided into two categories, the one is using other modes of transportation (except bike) connecting to MRT transit system passenger, which called potential users; another is currently using bike to connect to MRT passenger, called existing users. The empirical results show that potential users, policy is positive relationship between comfort(0.432), cost(0.531), safety(0.285) and accessibility(0.395); comfort is positive relationship between cost(0.268) and convenience(0.588); cost is positive relationship between convenience(0.306); safety is positive relationship between accessibility(0.297). Existing users, environment safety is positive relationship between accessibility(0.322) and convenience(0.213); comfort is positive relationship between cost(0.571) and convenience(0.247); accessibility is positive relationship between cost(0.231); signal control is positive relationship between cost(0.466) and convenience(0.276); cost is positive relationship between convenience(0.515).