The urban transit fare structure and level can largely affect passengers’travel behavior and route choices.The commonly used transit fare policies in the present transit network would lead to the unbalanced transit a...The urban transit fare structure and level can largely affect passengers’travel behavior and route choices.The commonly used transit fare policies in the present transit network would lead to the unbalanced transit assignment and improper transit resources distribution.In order to distribute transit passenger flow evenly and efficiently,this paper introduces a new distance-based fare pattern with Euclidean distance.A bi-level programming model is developed for determining the optimal distance-based fare pattern,with the path-based stochastic transit assignment(STA)problem with elastic demand being proposed at the lower level.The upper-level intends to address a principal-agent game between transport authorities and transit enterprises pursing maximization of social welfare and financial interest,respectively.A genetic algorithm(GA)is implemented to solve the bi-level model,which is verified by a numerical example to illustrate that the proposed nonlinear distance-based fare pattern presents a better financial performance and distribution effect than other fare structures.展开更多
A proposal to increase the subway fare in Beijing has commuters debating the merits of this move in a city choked with traffic and burgeoning public transport numbers.On June 19, 2011,Beijing Times reported that the c...A proposal to increase the subway fare in Beijing has commuters debating the merits of this move in a city choked with traffic and burgeoning public transport numbers.On June 19, 2011,Beijing Times reported that the city’s transport authority was mulling over instituting a policy of price differences between rush hour and off-peak hours.The proposal is aimed at spreading the mass of subway commuters during rush hours,展开更多
基金the Humanities and Social Science Foundation of the Ministry of Education of China(Grant No.20YJCZH121).
文摘The urban transit fare structure and level can largely affect passengers’travel behavior and route choices.The commonly used transit fare policies in the present transit network would lead to the unbalanced transit assignment and improper transit resources distribution.In order to distribute transit passenger flow evenly and efficiently,this paper introduces a new distance-based fare pattern with Euclidean distance.A bi-level programming model is developed for determining the optimal distance-based fare pattern,with the path-based stochastic transit assignment(STA)problem with elastic demand being proposed at the lower level.The upper-level intends to address a principal-agent game between transport authorities and transit enterprises pursing maximization of social welfare and financial interest,respectively.A genetic algorithm(GA)is implemented to solve the bi-level model,which is verified by a numerical example to illustrate that the proposed nonlinear distance-based fare pattern presents a better financial performance and distribution effect than other fare structures.
文摘A proposal to increase the subway fare in Beijing has commuters debating the merits of this move in a city choked with traffic and burgeoning public transport numbers.On June 19, 2011,Beijing Times reported that the city’s transport authority was mulling over instituting a policy of price differences between rush hour and off-peak hours.The proposal is aimed at spreading the mass of subway commuters during rush hours,
