Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment

Table 1

Typical researches on transit assignment problem.

Literature	Research subject	RRM/RUM/Hybrid	Schedule based	Capacity constraint	Smart card data
Schmöcker et al. [12]	underground network	RUM	×	√	√
Leurent et al. [14]	bus transit network	RUM	×	√	×
Zhang S et al. [13]	feeder bus service	RUM	×	√	×
Tong et al. (1998)	urban rail transit	RUM	√	×	√
Poon et al. [23]	bus transit network	RUM	√	√	×
Hamdouch et al. [22]	bus transit system	RUM	√	√	×
Nuzzolo et al. [28]	bus transit system	RUM	√	√	×
Han B et al. [29]	urban rail transit	RUM	√	√	√
Chorus et al. [32, 37]	bus transit system	RRM	×	×	×
Chorus et al. [38]	bus transit system	Attributes level hybrid	×	×	×
this paper	urban rail transit	Attributes level and decision level hybrid	√	√	√

Note. RUM: random utility maximization; RRM: random regret minimization.