An interactive booking-limit control for passenger railway revenue management

Hybrid nesting control strategy for passenger railway with one‐seat‐one‐ticket restriction

“…Hence, similar to Luo et al. (2021), the capacity of the train is modeled by a matrix of the availability state of each seat on each train leg, that is, $$$$\begin{equation*}{{\bf a}} = \left[ {{a_{k,i}}} \right] \in {\left\{ {0,1} \right\}^{c \times m}} = \left[ { \def\eqcellsep{&}\begin{array}{cccc} {{a_{1,1}}}&{{a_{1,2}}}& \ldots &{{a_{1,m}}}\\ {{a_{2,1}}}&{{a_{2,2}}}& \ldots &{{a_{2,m}}}\\ \vdots & \vdots & \ddots & \vdots \\ {{a_{c,1}}}&{{a_{c,2}}}& \ldots &{{a_{c,m}}} \end{array} } \right],\end{equation*}$$$$where $${a_{k,i}} \in \{ {0,1} \}$$ represents the availability state of seat k on train leg i . If $${a_{k,i}} = 1$$, it means that seat k on leg i is available; otherwise, seat k on leg i is occupied.…”

“…, c} m×1 ) is not sufficient. Hence, similar to Luo et al (2021), the capacity of the train is modeled by a matrix of the availability state of each seat on each train leg, that is,…”

Social distancing and revenue management—A post-pandemic adaptation for railways

“…For effective inventory management, [85] and [89] evaluate the significance of customer attributes and booking control, respectively. Further, [90] employ an interactive booking control system to combat demand variability. Multiple studies exploit the benefit of combining pricing and quantity-based strategies to maximize total revenue [57] , [76] , [83] , [84] .…”