To address the layout of integrated passenger transportation hubs,the influence of and uncertainty conditions on the hub layout is considered to achieve an effective connection between various modes of transportation.The mathematical model of hub layout under uncertainty conditions is constructed by applying uncertainty theory with the objective of minimizing the transportation cost of the whole system.The model takes into account the uncertainty of passenger flow,the uncertainty of passenger hub construction cost and the uncertainty of demand point coordinates.Using the randomly generated A and B data sets in Python as examples,the model is solved and the sensitivity of parameters is analyzed to derive the optimal solution for the hub layout and to verify the effectiveness of the model and algorithm.The parameters are positively correlated with transport costs,and the calculated results of the hub layout model under uncertainty are compared with the deterministic model,with the former being superior.The model provides some implications for the planning and design of future integrated passenger hubs.
Integrated Passenger Transport HubUncertainty ConditionsHub LayoutTransportation Costs
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