IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v273y2019i1d10.1007_s10479-016-2364-4.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-016-2364-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-016-2364-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guiver, Jo & Lumsdon, Les & Weston, Richard & Ferguson, Maggie, 2007. "Do buses help meet tourism objectives? The contribution and potential of scheduled buses in rural destination areas," Transport Policy, Elsevier, vol. 14(4), pages 275-282, July.
    2. Holguı´n-Veras, José & Yushimito, Wilfredo F. & Aros-Vera, Felipe & Reilly, John (Jack), 2012. "User rationality and optimal park-and-ride location under potential demand maximization," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 949-970.
    3. Yan, Shangyao & Chen, Hao-Lei, 2002. "A scheduling model and a solution algorithm for inter-city bus carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 805-825, November.
    4. Norlida Hamid, 2009. "Utilization patterns of park and ride facilities among Kuala Lumpur commuters," Transportation, Springer, vol. 36(3), pages 295-307, May.
    5. Peeters, Paul & Dubois, Ghislain, 2010. "Tourism travel under climate change mitigation constraints," Journal of Transport Geography, Elsevier, vol. 18(3), pages 447-457.
    6. Hounsell, Nick & Shrestha, Birendra & Piao, Jinan, 2011. "Enhancing Park and Ride with access control: A case study of Southampton," Transport Policy, Elsevier, vol. 18(1), pages 194-203, January.
    7. Joaquín de Cea & Enrique Fernández, 1993. "Transit Assignment for Congested Public Transport Systems: An Equilibrium Model," Transportation Science, INFORMS, vol. 27(2), pages 133-147, May.
    8. Kliewer, Natalia & Mellouli, Taieb & Suhl, Leena, 2006. "A time-space network based exact optimization model for multi-depot bus scheduling," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1616-1627, December.
    9. Boopen Seetanah & Jameel Khadaroo, 2009. "An Analysis of the Relationship between Transport Capital and Tourism Development in a Dynamic Framework," Tourism Economics, , vol. 15(4), pages 785-802, December.
    10. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun, 2011. "Improving travel efficiency by parking permits distribution and trading," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1018-1034, August.
    11. Peng, Zixuan & Shan, Wenxuan & Guan, Feng & Yu, Bin, 2016. "Stable vessel-cargo matching in dry bulk shipping market with price game mechanism," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 76-94.
    12. Jomnonkwao, Sajjakaj & Ratanavaraha, Vatanavongs, 2016. "Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis," Transport Policy, Elsevier, vol. 45(C), pages 240-252.
    13. Amitrajeet Batabyal & Hamid Beladi, 2011. "Transport provision to tourists by a cost minimizing firm: a stochastic characterization," Letters in Spatial and Resource Sciences, Springer, vol. 4(2), pages 103-108, July.
    14. Hamdouch, Younes & Ho, H.W. & Sumalee, Agachai & Wang, Guodong, 2011. "Schedule-based transit assignment model with vehicle capacity and seat availability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1805-1830.
    15. Cheng, Qian & Su, Baoren & Tan, Jin, 2013. "Developing an evaluation index system for low-carbon tourist attractions in China – A case study examining the Xixi wetland," Tourism Management, Elsevier, vol. 36(C), pages 314-320.
    16. Amir Khakbaz & Ali Nookabadi & S. Shetab-bushehri, 2013. "A Model for Locating Park-and-Ride Facilities on Urban Networks Based on Maximizing Flow Capture: A Case Study of Isfahan, Iran," Networks and Spatial Economics, Springer, vol. 13(1), pages 43-66, March.
    17. Yuzhu Liu & Rob Law, 2013. "The Adoption of Smartphone Applications by Airlines," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 47-57, Springer.
    18. Baozhen Yao & Bin Yu & Ping Hu & Junjie Gao & Mingheng Zhang, 2016. "An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot," Annals of Operations Research, Springer, vol. 242(2), pages 303-320, July.
    19. Dijk, Marc & de Haes, Jan & Montalvo, Carlos, 2013. "Park-and-Ride motivations and air quality norms in Europe," Journal of Transport Geography, Elsevier, vol. 30(C), pages 149-160.
    20. Wang, Xia & Li, Xiang (Robert) & Zhen, Feng & Zhang, JinHe, 2016. "How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach," Tourism Management, Elsevier, vol. 54(C), pages 309-320.
    21. Duncan, Michael & Christensen, Robert K., 2013. "An analysis of park-and-ride provision at light rail stations across the US," Transport Policy, Elsevier, vol. 25(C), pages 148-157.
    22. Mark Horner & Tony Grubesic, 2001. "A GIS-based planning approach to locating urban rail terminals," Transportation, Springer, vol. 28(1), pages 55-77, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Xinwei & Chen, Peng & Jiao, Junfeng & Chen, Xiaohong & Bischak, Chris, 2019. "How does ‘park and ride’ perform? An evaluation using longitudinal data," Transport Policy, Elsevier, vol. 74(C), pages 15-23.
    2. Yusuke Kono & Kenetsu Uchida & Katia Andrade, 2014. "Economical welfare maximisation analysis: assessing the use of existing Park-and-Ride services," Transportation, Springer, vol. 41(4), pages 839-854, July.
    3. Du, Bo & Wang, David Z.W., 2014. "Continuum modeling of park-and-ride services considering travel time reliability and heterogeneous commuters – A linear complementarity system approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 58-81.
    4. Kimpton, Anthony & Pojani, Dorina & Sipe, Neil & Corcoran, Jonathan, 2020. "Parking Behavior: Park ‘n’ Ride (PnR) to encourage multimodalism in Brisbane," Land Use Policy, Elsevier, vol. 91(C).
    5. Baozhen Yao & Qianqian Yan & Mengjie Zhang & Yunong Yang, 2017. "Improved artificial bee colony algorithm for vehicle routing problem with time windows," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-18, September.
    6. Elżbieta Macioszek & Agata Kurek, 2020. "The Use of a Park and Ride System—A Case Study Based on the City of Cracow (Poland)," Energies, MDPI, vol. 13(13), pages 1-26, July.
    7. Du, Muqing & Chen, Anthony, 2022. "Sensitivity analysis for transit equilibrium assignment and applications to uncertainty analysis," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 175-202.
    8. Guillot, Matthieu & Rey, David & Furno, Angelo & El Faouzi, Nour-Eddin, 2024. "A stochastic hub location and fleet assignment problem for the design of reconfigurable park-and-ride systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    9. Cortés, Cristián E. & Jara-Moroni, Pedro & Moreno, Eduardo & Pineda, Cristobal, 2013. "Stochastic transit equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 51(C), pages 29-44.
    10. Valentina Trozzi & Guido Gentile & Ioannis Kaparias & Michael Bell, 2015. "Effects of Countdown Displays in Public Transport Route Choice Under Severe Overcrowding," Networks and Spatial Economics, Springer, vol. 15(3), pages 823-842, September.
    11. Sun, S. & Szeto, W.Y., 2019. "Optimal sectional fare and frequency settings for transit networks with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 147-177.
    12. Khani, Alireza, 2019. "An online shortest path algorithm for reliable routing in schedule-based transit networks considering transfer failure probability," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 549-564.
    13. Tian, Qiong & Liu, Peng & Ong, Ghim Ping & Huang, Hai-Jun, 2021. "Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    14. Trozzi, Valentina & Gentile, Guido & Bell, Michael G.H. & Kaparias, Ioannis, 2013. "Dynamic user equilibrium in public transport networks with passenger congestion and hyperpaths," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 266-285.
    15. S. Mahmassani, Hani & F. Hyland, Michael, 2016. "Gap-based transit assignment algorithm with vehicle capacity constraints: Simulation-based implementation and large-scale applicationAuthor-Name: Verbas, Ömer," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 1-16.
    16. Codina, Esteve & Rosell, Francisca, 2017. "A heuristic method for a congested capacitated transit assignment model with strategies," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 293-320.
    17. Binder, Stefan & Maknoon, Yousef & Bierlaire, Michel, 2017. "Exogenous priority rules for the capacitated passenger assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 19-42.
    18. Wang, Shuaian & Qu, Xiaobo, 2017. "Station choice for Australian commuter rail lines: Equilibrium and optimal fare design," European Journal of Operational Research, Elsevier, vol. 258(1), pages 144-154.
    19. Haiyang Yu & Shuai Yang & Zhihai Wu & Xiaolei Ma, 2018. "Vehicle trajectory reconstruction from automatic license plate reader data," International Journal of Distributed Sensor Networks, , vol. 14(2), pages 15501477187, February.
    20. Liu, Peng & Liu, Jielun & Ong, Ghim Ping & Tian, Qiong, 2020. "Flow pattern and optimal capacity in a bi-modal traffic corridor with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-016-2364-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.