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Recommending a sequence of interesting places for tourist trips

Author

Listed:
  • Wolfgang Wörndl

    (Technical University of Munich (TUM))

  • Alexander Hefele

    (Technical University of Munich (TUM))

  • Daniel Herzog

    (Technical University of Munich (TUM))

Abstract

Tourist trip design problems (TTDP) support tourists in creating trips composed of multiple points of interest (POIs) or other travel-related items. We present a novel approach to generate routes comprising different POIs with a reasonable routing for a short city trip. In our scenario, a user enters a start and an end point in a web application together with preferences and receives a walking route with interesting places to visit along the way. The place discovery is based on retrieving arbitrarily rated places from Foursquare, so it is not restricted to certain cities or regions. The developed scoring mechanism rates the level of interest of a POI and accounts for the number of places per category. Discovered places are then combined to a practical route using a constraint-free and a constraint-based version of our algorithm. The algorithms are based on Dijkstra’s algorithm to find the shortest path in a graph. We show that Dijkstra’s algorithm can be modified to find not only the shortest paths, but also trips that solve the TTDP by maximizing the entertainment for the user while respecting time and budget constraints. The solution has been implemented in a practical web application. We conducted a user study showing that our test users highly accepted the application. Improvement with regard to user preferences for place categories lead to additional benefits in terms of user satisfaction with the routing and the match with their preferences. Finally, we outline challenges for future work on TTDPs in this article.

Suggested Citation

  • Wolfgang Wörndl & Alexander Hefele & Daniel Herzog, 2017. "Recommending a sequence of interesting places for tourist trips," Information Technology & Tourism, Springer, vol. 17(1), pages 31-54, March.
    • Handle: RePEc:spr:infott:v:17:y:2017:i:1:d:10.1007_s40558-017-0076-5
    DOI: 10.1007/s40558-017-0076-5
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    References listed on IDEAS

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    1. Vansteenwegen, Pieter & Souffriau, Wouter & Berghe, Greet Vanden & Oudheusden, Dirk Van, 2009. "A guided local search metaheuristic for the team orienteering problem," European Journal of Operational Research, Elsevier, vol. 196(1), pages 118-127, July.
    2. Souffriau, Wouter & Vansteenwegen, Pieter & Vanden Berghe, Greet & Van Oudheusden, Dirk, 2011. "The planning of cycle trips in the province of East Flanders," Omega, Elsevier, vol. 39(2), pages 209-213, April.
    3. Moonyoung Kang, 2013. "Integer Programming Formulation of Finding Cheapest Ticket Combination over Multiple Tourist Attractions," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 131-143, Springer.
    4. Angelelli, E. & Archetti, C. & Vindigni, M., 2014. "The Clustered Orienteering Problem," European Journal of Operational Research, Elsevier, vol. 238(2), pages 404-414.
    5. Rodríguez, Beatriz & Molina, Julián & Pérez, Fátima & Caballero, Rafael, 2012. "Interactive design of personalised tourism routes," Tourism Management, Elsevier, vol. 33(4), pages 926-940.
    6. Ann Campbell & Michel Gendreau & Barrett Thomas, 2011. "The orienteering problem with stochastic travel and service times," Annals of Operations Research, Springer, vol. 186(1), pages 61-81, June.
    7. 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.
    8. Chao, I-Ming & Golden, Bruce L. & Wasil, Edward A., 1996. "The team orienteering problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 464-474, February.
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    Cited by:

    1. Bian, Zheyong & Liu, Xiang, 2018. "A real-time adjustment strategy for the operational level stochastic orienteering problem: A simulation-aided optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 246-266.
    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).

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