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Lotka-volterra-based Competition Mode of Transportation in Urban Passenger Corridor

  • Yu Sheng Ci*
  • , Jia Fa Zhao
  • , Li Na Wu
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Heilongjiang Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

To optimize the urban traffic structure and alleviate the problem of urban traffic congestion, the paper establishes the macroscopic competition model of public transport and private transport based on Lotka-Volterra model. And the competition intensity of different modes of transportation and the effect of trip size of different groups on the stability and evolution of the model are analyzed. The results show that the competitive intensity of transportation modes and the scale proportion of different travel groups affects the competition intensity and the competition result. When the competition is more intense, only the most competitive mode of transportation can exist in the market, and in the case of less competition, the two modes can coexist in the market. At last, the paper proposes to balance the competition between the two modes by adjusting the competition intensity coefficient of transportation modes and changing the proportion of different types of residents to optimize the traffic structure in urban passenger corridor.

Original languageEnglish
Pages (from-to)39-45 and 52
JournalJiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
Volume17
Issue number3
DOIs
StatePublished - 1 Jun 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Competition model
  • Mode of transportation
  • Passenger corridor
  • Traffic engineering
  • Trip groups

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