作者: Qiong Tian , Hai-Jun Huang , William H. K. Lam
DOI: 10.3141/2134-19
关键词: Travel behavior 、 Journey to work 、 Beijing 、 Marginal cost 、 Schedule 、 Traffic congestion 、 Computer science 、 Operations research
摘要: The riding behavior of commuters who take transit from home to workplace during peak periods is examined. Costs associated with the schedule delay penalties for early or late arrival and in-vehicle congestion are considered formulating a mathematical programming model that generates solution equilibrium behavior. Survey data obtained No. 13 light rail in Beijing used show how these make trade-off between two costs. A linear relationship was found passenger number corresponding run number. concavity convexity characteristics cost function should be opposite. In other words, if concave, marginal must increase each additional passenger; is, convex, vice versa. Furthermore, ratio estim...