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<p>To address unbalanced arriving passengers and optimize hub site selection, this study investigates solutions for low operational efficiency at passenger transport hubs and prolonged transfer times for residents. Considering the development needs and environmental impacts of urban-rural passenger transport hubs, an upper-layer model targeting maximum passenger throughput based on traffic zones was established. Addressing unbalanced arriving passengers, different transfer scenarios were modeled to develop a lower-layer model minimizing residents’ travel time. An improved nested genetic algorithm was designed for solution, incorporating elite retention strategies and adaptive crossover mutation operations to effectively enhance algorithm convergence speed and solution quality. Using 14 townships and subdistricts in a county of Shandong Province and 630,000 anonymous mobile signaling records from the region as a case study, the solution yielded eight site selection options. Scheme 3 emerged as the optimal solution, achieving a total passenger volume of 40,377 trips, increasing direct passenger flow to 65.12%, reducing average travel time to 0.63&#xa0;h, and covering 9.1% of the system’s service area.</p>

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Optimal Location of Passenger Transport Hub Based on Traffic Zone and Unbalanced Passenger Flow

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • Kailei Li,
  • Ying Song

摘要

To address unbalanced arriving passengers and optimize hub site selection, this study investigates solutions for low operational efficiency at passenger transport hubs and prolonged transfer times for residents. Considering the development needs and environmental impacts of urban-rural passenger transport hubs, an upper-layer model targeting maximum passenger throughput based on traffic zones was established. Addressing unbalanced arriving passengers, different transfer scenarios were modeled to develop a lower-layer model minimizing residents’ travel time. An improved nested genetic algorithm was designed for solution, incorporating elite retention strategies and adaptive crossover mutation operations to effectively enhance algorithm convergence speed and solution quality. Using 14 townships and subdistricts in a county of Shandong Province and 630,000 anonymous mobile signaling records from the region as a case study, the solution yielded eight site selection options. Scheme 3 emerged as the optimal solution, achieving a total passenger volume of 40,377 trips, increasing direct passenger flow to 65.12%, reducing average travel time to 0.63 h, and covering 9.1% of the system’s service area.