Exploring Passengers’ Path Choice Behavior at Peak Time for Mass Rapid Transit Systems

• Main Authors: Huan-PingLin, 林桓平
• Other Authors: Yung-Hsiang Cheng
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/29098591582375765503

碩士 === 國立成功大學 === 交通管理科學系 === 103 === With the expansion of urban development, not only MRT network and route are more and more complex but also more and more passengers. MRT has been a necessary and important part of developing urban transportation and daily commuting. However, we can see the flow bubble to the surface with MRT rapid growth. Flow of passengers over concentrate in station of core and main line cause serious congestion in the peak time. This study is aim at factors of route choice behavior, and use differences in personality to understand what passengers' preference of route. Therefore, In addition to the traditional variables, for example, travel time and price, included perceived factors such as reliability, comfort, habits or past experience, etc., and set the different characteristics of the route allows visitors to choose and thereby analysis that passengers choose different route causes and characteristics. The result of study can provide a reference in decision-making, marketing or policies for operator. This study focus on MRT passengers’ route choice behavior, and explores the issue of taste heterogeneity by applying the mixed logit model (ML). In addition, the latent variable choice model (LVCM) is adopted to capture the impact of latent variable on passengers’ route choice behavior in this study. We also use elasticity analysis and sensitivity analysis method to measure the impact of symbiotic variables on the passengers. It is found out that passengers prefer to take easier route and choose simple transfer, furthermore, it is more obvious differences in preferences for passengers on the convenience and comfort. Elasticity analysis and sensitivity analysis method show that passengers will switch the route to another one which have similar nature. The results confirmed the passengers in transit route preference will be affected by travel perception.