Dynamic pricing optimization for high-speed railway based on passenger flow assignment.

In order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. Taking differentiated passenger demand and supply trains as the research obj...

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Main Authors: Jiren Cao, Lei Nie, Lu Tong, Zhenhuan He, Zhangjiaxuan Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0314713
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author Jiren Cao
Lei Nie
Lu Tong
Zhenhuan He
Zhangjiaxuan Liu
author_facet Jiren Cao
Lei Nie
Lu Tong
Zhenhuan He
Zhangjiaxuan Liu
author_sort Jiren Cao
collection DOAJ
description In order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. Taking differentiated passenger demand and supply trains as the research object, the space-time service network based on train timetable was constructed. The generalized cost formula and travel utility formula of passenger travel were proposed, which contained economy, rapidity, convenience, comfort, and route correlation cost. A multi-objective dynamic pricing model was proposed. The model aimed at maximize the corporate revenue and maximize passenger travel benefit, and was solved by large neighborhood search heuristic algorithm and path size logit assignment based on capacity constraint-passenger flow increment accurate algorithm. Based on real data, the Shandong circular high-speed railway case compared the average total revenue under different ticket price adjustment ranges and the ticket price for different classes of trains under different OD levels. The case proved the practicability of dynamic pricing adjustment strategy considering train classification, which could provide a reference for the ticket price management of high-speed railway.
format Article
id doaj-art-53461172776d4306b75f7bb8bc25ec11
institution Kabale University
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-53461172776d4306b75f7bb8bc25ec112025-01-08T05:33:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031471310.1371/journal.pone.0314713Dynamic pricing optimization for high-speed railway based on passenger flow assignment.Jiren CaoLei NieLu TongZhenhuan HeZhangjiaxuan LiuIn order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. Taking differentiated passenger demand and supply trains as the research object, the space-time service network based on train timetable was constructed. The generalized cost formula and travel utility formula of passenger travel were proposed, which contained economy, rapidity, convenience, comfort, and route correlation cost. A multi-objective dynamic pricing model was proposed. The model aimed at maximize the corporate revenue and maximize passenger travel benefit, and was solved by large neighborhood search heuristic algorithm and path size logit assignment based on capacity constraint-passenger flow increment accurate algorithm. Based on real data, the Shandong circular high-speed railway case compared the average total revenue under different ticket price adjustment ranges and the ticket price for different classes of trains under different OD levels. The case proved the practicability of dynamic pricing adjustment strategy considering train classification, which could provide a reference for the ticket price management of high-speed railway.https://doi.org/10.1371/journal.pone.0314713
spellingShingle Jiren Cao
Lei Nie
Lu Tong
Zhenhuan He
Zhangjiaxuan Liu
Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
PLoS ONE
title Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
title_full Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
title_fullStr Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
title_full_unstemmed Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
title_short Dynamic pricing optimization for high-speed railway based on passenger flow assignment.
title_sort dynamic pricing optimization for high speed railway based on passenger flow assignment
url https://doi.org/10.1371/journal.pone.0314713
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AT lutong dynamicpricingoptimizationforhighspeedrailwaybasedonpassengerflowassignment
AT zhenhuanhe dynamicpricingoptimizationforhighspeedrailwaybasedonpassengerflowassignment
AT zhangjiaxuanliu dynamicpricingoptimizationforhighspeedrailwaybasedonpassengerflowassignment