IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i17p9771-d625965.html
   My bibliography  Save this article

Multi-Objective Fuzzy Tourist Trip Design Problem with Heterogeneous Preferences and Sustainable Itineraries

Author

Listed:
  • José Ruiz-Meza

    (Facultad de Ingeniería, Universidad de La Sabana, Chiá 140013, Colombia
    Facultad de Ciencias Básicas, Ingenierías y Arquitectura, Corporación Universitaria del Caribe, Sincelejo 700001, Colombia)

  • Julio Brito

    (Departamento de Ingeniería Informática y de Sistemas, Instituto Universitario de Desarrollo Regional, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain)

  • Jairo R. Montoya-Torres

    (Facultad de Ingeniería, Universidad de La Sabana, Chiá 140013, Colombia)

Abstract

Tourism has direct and indirect implications for CO 2 emissions. Therefore, it is necessary to develop tourism management based on sustainable tourism, mainly in the transport process. Tourist itinerary planning is a complex process that plays a crucial role in tourist management. This type of problem, called the tourist trip design problem, aims to build personalised itineraries. However, planning tends to be biased towards group travel with heterogeneous preferences. Additionally, much of the information needed for planning is vague and imprecise. In this paper, a new model for tourist route planning is developed to minimise CO 2 emissions from transportation and generate an equitable profit for tourists. In addition, the model also plans group routes with heterogeneous preferences, selects transport modes, and addresses uncertainty from fuzzy optimisation. A set of numerical tests was carried out with theoretical and real-world instances. The experimentation develops different scenarios to compare the results obtained by the model and analyse the relationship between the objectives. The results demonstrate the influence of the objectives on the solutions, the direct and inverse relationships between objectives, and the fuzzy nature of the problem.

Suggested Citation

  • José Ruiz-Meza & Julio Brito & Jairo R. Montoya-Torres, 2021. "Multi-Objective Fuzzy Tourist Trip Design Problem with Heterogeneous Preferences and Sustainable Itineraries," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9771-:d:625965
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/17/9771/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/17/9771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Kadri Sylejmani & Jürgen Dorn & Nysret Musliu, 2017. "Planning the trip itinerary for tourist groups," Information Technology & Tourism, Springer, vol. 17(3), pages 275-314, September.
    3. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    4. Ishizaka, Alessio & Nemery, Philippe & Lidouh, Karim, 2013. "Location selection for the construction of a casino in the Greater London region: A triple multi-criteria approach," Tourism Management, Elsevier, vol. 34(C), pages 211-220.
    5. Franziska Wolf & Walter Leal Filho & Priyatma Singh & Nicolai Scherle & Dirk Reiser & John Telesford & Ivana Božić Miljković & Peni Hausia Havea & Chunlan Li & Dinesh Surroop & Marina Kovaleva, 2021. "Influences of Climate Change on Tourism Development in Small Pacific Island States," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    6. Park, Byung Il & Ghauri, Pervez N., 2015. "Determinants influencing CSR practices in small and medium sized MNE subsidiaries: A stakeholder perspective," Journal of World Business, Elsevier, vol. 50(1), pages 192-204.
    7. Qian, Jiani & Eglese, Richard, 2016. "Fuel emissions optimization in vehicle routing problems with time-varying speeds," European Journal of Operational Research, Elsevier, vol. 248(3), pages 840-848.
    8. Scott, Daniel & Hall, C. Michael & Gössling, Stefan, 2019. "Global tourism vulnerability to climate change," Annals of Tourism Research, Elsevier, vol. 77(C), pages 49-61.
    9. Yeh, Duen-Yian & Cheng, Ching-Hsue, 2015. "Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques," Tourism Management, Elsevier, vol. 46(C), pages 164-176.
    10. Kotiloglu, S. & Lappas, T. & Pelechrinis, K. & Repoussis, P.P., 2017. "Personalized multi-period tour recommendations," Tourism Management, Elsevier, vol. 62(C), pages 76-88.
    11. Peeters, Paul & Dubois, Ghislain, 2010. "Tourism travel under climate change mitigation constraints," Journal of Transport Geography, Elsevier, vol. 18(3), pages 447-457.
    12. Wang, Weiye & Liu, Jinlong & Innes, John L., 2019. "Conservation equity for local communities in the process of tourism development in protected areas: A study of Jiuzhaigou Biosphere Reserve, China," World Development, Elsevier, vol. 124(C), pages 1-1.
    13. Bertella, Giovanna, 2020. "Re-thinking sustainability and food in tourism," Annals of Tourism Research, Elsevier, vol. 84(C).
    14. Delgado, Mercedes & Mills, Karen G., 2020. "The supply chain economy: A new industry categorization for understanding innovation in services," Research Policy, Elsevier, vol. 49(8).
    15. Gong, Mengfeng & Gao, Yuan & Koh, Lenny & Sutcliffe, Charles & Cullen, John, 2019. "The role of customer awareness in promoting firm sustainability and sustainable supply chain management," International Journal of Production Economics, Elsevier, vol. 217(C), pages 88-96.
    16. Milan Zeleny, 1976. "The Attribute-Dynamic Attitude Model (Adam)," Management Science, INFORMS, vol. 23(1), pages 12-26, September.
    17. Arbolino, Roberta & Yigitcanlar, Tan & L’Abbate, Pasqua & Ioppolo, Giuseppe, 2019. "Effective growth policymaking: Estimating provincial territorial development potentials," Land Use Policy, Elsevier, vol. 86(C), pages 313-321.
    18. Yan, Libo & Gao, Bo Wendy & Zhang, Meng, 2017. "A mathematical model for tourism potential assessment," Tourism Management, Elsevier, vol. 63(C), pages 355-365.
    19. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    20. Loehr, Johanna & Becken, Susanne, 2021. "The Tourism Climate Change Knowledge System," Annals of Tourism Research, Elsevier, vol. 86(C).
    21. Gunawan, Aldy & Lau, Hoong Chuin & Vansteenwegen, Pieter, 2016. "Orienteering Problem: A survey of recent variants, solution approaches and applications," European Journal of Operational Research, Elsevier, vol. 255(2), pages 315-332.
    22. Hadi Jaber & Franck Marle & Ludovic-Alexandre Vidal & Ilkan Sarigol & Lionel Didiez, 2021. "A Framework to Evaluate Project Complexity Using the Fuzzy TOPSIS Method," Sustainability, MDPI, vol. 13(6), pages 1-35, March.
    23. Ehsan Javanmardi & Sifeng Liu & Naiming Xie, 2020. "Exploring Grey Systems Theory-Based Methods and Applications in Sustainability Studies: A Systematic Review Approach," Sustainability, MDPI, vol. 12(11), pages 1-32, May.
    24. Kadri Sylejmani & Jürgen Dorn & Nysret Musliu, 0. "Planning the trip itinerary for tourist groups," Information Technology & Tourism, Springer, vol. 0, pages 1-40.
    25. José Ruiz-Meza & Jairo R. Montoya-Torres, 2021. "Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations," Annals of Operations Research, Springer, vol. 305(1), pages 227-249, October.
    26. Lee, Hwee Khei & Fernando, Yudi, 2015. "The antecedents and outcomes of the medical tourism supply chain," Tourism Management, Elsevier, vol. 46(C), pages 148-157.
    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. Liao, Zhixue & Zheng, Weimin & Lin, Zhibin, 2022. "Time apart while together: A smart trip design for group travelers," Annals of Tourism Research, Elsevier, vol. 93(C).

    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. José Ruiz-Meza & Jairo R. Montoya-Torres, 2021. "Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations," Annals of Operations Research, Springer, vol. 305(1), pages 227-249, October.
    2. Ruiz-Meza, José & Montoya-Torres, Jairo R., 2022. "A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Ernesto Tarantino & Ivanoe De Falco & Umberto Scafuri, 2019. "A mobile personalized tourist guide and its user evaluation," Information Technology & Tourism, Springer, vol. 21(3), pages 413-455, September.
    4. Scott, Daniel & Gössling, Stefan, 2022. "A review of research into tourism and climate change - Launching the annals of tourism research curated collection on tourism and climate change," Annals of Tourism Research, Elsevier, vol. 95(C).
    5. Worapot Sirirak & Rapeepan Pitakaso, 2018. "Marketplace Location Decision Making and Tourism Route Planning," Administrative Sciences, MDPI, vol. 8(4), pages 1-25, November.
    6. Zheng, Weimin & Liao, Zhixue & Qin, Jing, 2017. "Using a four-step heuristic algorithm to design personalized day tour route within a tourist attraction," Tourism Management, Elsevier, vol. 62(C), pages 335-349.
    7. Ehmke, Jan Fabian & Campbell, Ann M. & Thomas, Barrett W., 2018. "Optimizing for total costs in vehicle routing in urban areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 242-265.
    8. Dezhi Zhang & Xin Wang & Shuangyan Li & Nan Ni & Zhuo Zhang, 2018. "Joint optimization of green vehicle scheduling and routing problem with time-varying speeds," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
    9. Taher Safarrad & Mostafa Ghadami & Andreas Dittmann & Mousa Pazhuhan (Panahandeh Khah), 2021. "Tourism Effect on the Spatiotemporal Pattern of Land Surface Temperature (LST): Babolsar and Fereydonkenar Cities (Cases Study in Iran)," Land, MDPI, vol. 10(9), pages 1-25, September.
    10. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    11. Brunner, Carlos & Giesen, Ricardo & Klapp, Mathias A. & Flórez-Calderón, Luz, 2021. "Vehicle routing problem with steep roads," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 1-17.
    12. Arjun Paul & Ravi Shankar Kumar & Chayanika Rout & Adrijit Goswami, 2021. "A bi-objective two-echelon pollution routing problem with simultaneous pickup and delivery under multiple time windows constraint," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 962-993, December.
    13. Stavropoulou, F. & Repoussis, P.P. & Tarantilis, C.D., 2019. "The Vehicle Routing Problem with Profits and consistency constraints," European Journal of Operational Research, Elsevier, vol. 274(1), pages 340-356.
    14. Behnke, Martin & Kirschstein, Thomas & Bierwirth, Christian, 2021. "A column generation approach for an emission-oriented vehicle routing problem on a multigraph," European Journal of Operational Research, Elsevier, vol. 288(3), pages 794-809.
    15. George Katavoutas & Dimitra Founda & Gianna Kitsara & Christos Giannakopoulos, 2021. "Climate Change and Thermal Comfort in Top Tourist Destinations—The Case of Santorini (Greece)," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    16. Turkensteen, Marcel, 2017. "The accuracy of carbon emission and fuel consumption computations in green vehicle routing," European Journal of Operational Research, Elsevier, vol. 262(2), pages 647-659.
    17. Zhou, Yizi & Mandania, Rupal & Liu, Jiyin, 2022. "Green vehicle routing and dynamic pricing for scheduling on-site services," International Journal of Production Economics, Elsevier, vol. 254(C).
    18. Watling, David P. & Connors, Richard D. & Chen, Haibo, 2023. "Fuel-optimal truck path and speed profile in dynamic conditions: An exact algorithm," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1456-1472.
    19. Emna Marrekchi & Walid Besbes & Diala Dhouib & Emrah Demir, 2021. "A review of recent advances in the operations research literature on the green routing problem and its variants," Annals of Operations Research, Springer, vol. 304(1), pages 529-574, September.
    20. Fazli Haleem & Sami Farooq & Yang Cheng & Brian Vejrum Waehrens, 2022. "Sustainable Management Practices and Stakeholder Pressure: A Systematic Literature Review," Sustainability, MDPI, vol. 14(4), pages 1-23, February.

    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:gam:jsusta:v:13:y:2021:i:17:p:9771-:d:625965. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.