针对地铁与自驾车两种出行方式并存的双模式交通系统, 考虑通勤者出 行与活动之间的关联, 用量化的净效用函数代替Logit模型中的效用函数, 分析 了常数和线性边际活动效用下通勤者早高峰上班出行方式选择问题. 研究发现, 基于出行的方法估计的通勤人数介于基于常数和线性边际活动效用估计的通勤人数之间; 基于边际活动效用的通勤者比基于出行方法的通勤者对早到惩罚更为敏感; 基于出行方法与基于边际活动预测的通勤者对晚到惩罚敏感程度均弱. 此外, 在选择的参数范围内, 系统总成本函数是一个分段函数, 且存在最优发车间隔.

Considering the association between commuters' activity schedule and trip schedule within a bi-modal transportation system consisting of transit and auto mode, we replace the utility function in the Logit model by quantitative net utility function, and then analyze the commuters' travel mode choice problem in the morning peak with constant and linear marginal activity utility functions. It is shown that the trip-based approach always estimates the number of commuters between the constant marginal activity utility function and the linear marginal activity utility function; the number of commuters under marginal activity utility function is more sensitive than that under trip-based approach while increasing the value of unit time for early arrival. However, the number of commuters is less sensitive for both marginal activity utility function and trip-based approach. In addition, within the selected parameter range, total system cost function is a piecewise function, and find the optimal departure interval.