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The sightseeing bus schedule optimization under Park and Ride System in tourist attractions

Author

Listed:
  • L. Zhang

    (Dalian Maritime University
    Dalian Maritime University)

  • Y. P. Wang

    (Beihang University)

  • J. Sun

    (Tongji University)

  • B. Yu

    (Beihang University)

Abstract

This paper proposes a sightseeing bus schedule optimization method for Park and Ride System in tourist attractions. The optimization method can provide a high-quality tourism experience by decreasing passenger waiting time. The optimization method consists of two fundamental steps. First, modal split for self-drive tourists is proposed based on a logit function. Then, the sightseeing bus schedule considering dynamic passenger demand is designed based on the sightseeing bus time-expanded network. The numerical results show that the sightseeing bus schedule optimization method can decrease passenger waiting time efficiently and can be applied to more realistic tourism attractions.

Suggested Citation

  • L. Zhang & Y. P. Wang & J. Sun & B. Yu, 2019. "The sightseeing bus schedule optimization under Park and Ride System in tourist attractions," Annals of Operations Research, Springer, vol. 273(1), pages 587-605, February.
    • Handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-016-2364-4
    DOI: 10.1007/s10479-016-2364-4
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    References listed on IDEAS

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    Cited by:

    1. Bahram Zikirya & Chunshan Zhou, 2023. "Spatial Distribution and Influencing Factors of High-Level Tourist Attractions in China: A Case Study of 9296 A-Level Tourist Attractions," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    2. Atefeh Taghavi & Reza Ghanbari & Khatere Ghorbani-Moghadam & Alireza Davoodi & Ali Emrouznejad, 2022. "A genetic algorithm for solving bus terminal location problem using data envelopment analysis with multi-objective programming," Annals of Operations Research, Springer, vol. 309(1), pages 259-276, February.

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