Abstract
The configuration and personalization of routes, for short tourist activities, plays a fundamental role in improving the experiences of tourists and must be assumed as an objective in any tourist destination in the conditions of an increasingly competitive market. This study aims to achieve a system of recommendation of a certain tourist route, by selecting different points of interest in the objective, taking into account the preferences and constraints of the tourist. Custom routes are obtained by applying a series of dedicated tools that integrate heuristic and non-heuristic algorithms and gamification, representations in the form of heat maps and graphs. The paper presents the customized routes for the case of a theme park proposed to be made in a mining perimeter in the Jiu Valley, Romania.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Holloway, J.C.: The guided tour a sociological approach. Ann. Tour. Res. 8(3), 377–402 (1981)
Ryan, C., Gu, H.: Perceptions of Chinese Hotels. Cornell Hotel Restaurant Adm. Quart. 48(4), 380–391 (2007)
Leiper, N.: Tourist attraction systems. Ann. Tour. Res. 17, 367–384 (1990)
Tsai, C., Chung, S.H.: A personalized route recommendation service for theme parks using RFID information and tourist behavior. Decis. Support Syst. 52, 514–527 (2012)
Souffriau, W., Vansteenwegen, P., Vertommen, J., Berghe, G.V., Oudheusden, D.V.: A personalized tourist trip design algorithm for mobile tourist guides. Appl. Artif. Intell. 22, 964–985 (2008)
Vansteenwegen, P., Van Oudheusden, D.: The mobile tourist guide: An OR opportunity. OR Insight 20, 21–27 (2007)
Ionică, A.C., Samuil, I., Leba, M., Toderas, M.: The path of petrila mining area towards future industrial heritage tourism seen through the lenses of past and present. Sustainability 12(23), 9922 (2020)
Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G.: A survey on algorithmic approaches for solving tourist trip design problems. J. Heurist. 20(3), 291–328 (2014). https://doi.org/10.1007/s10732-014-9242-5
Benjamin, A.M., Abdullah, A.S., Abdul-Rahman, S., Nazri1, E.M., Yahaya, H.Z.: Developing a comprehensive tour package using an improved greedy algorithm with tourist preferences. J. Sustain. Sci. Manage. 14(4), 106–117 (2019)
Cha, K.J.: Experimental evaluation of an expert system for travel recommender systems. Int. J. Softw. Eng. Appl. 8(4), 115–128 (2014)
Yahi, A., Chassang, A., Raynaud, L., Duthil, H., Chau, D.H.P.: Aurigo: an interactive tour planner for personalized itineraries. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp.275–285 (2015)
Tung, V.W.S., Ritchie, J.R.B.: Exploring the essence of memorable tourism experiences. Ann. Tour. Res. 38(4), 1367–2138 (2011)
Munar, A.M., Jacobsen, J.K.S.: Motivations for sharing tourism experiences through social media. Tour. Manage. 43, 46–54 (2014)
Arteaga, D., Arenas, J., Paz, F., Tupia, M., Bruzza, M.: Design of information system architecture for the recommendation of tourist sites in the city of Manta, Ecuador through a Chatbot. In: 2019 14th Iberian Conference on Information Systems and Technologies, pp. 1–6 (2019)
Shen (Sandy), Y.: Gamification in Tourism and Hospitality: Theoretical Foundations, Player Typology, and Effectiveness, Ph.D. thesis (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Samuil, I., Ionica, A., Leba, M. (2022). Designing Customized Touristic Circuits Based on Heuristic and Non-heuristic Algorithms with Gamification Tools. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-031-04829-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-031-04829-6_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-04828-9
Online ISBN: 978-3-031-04829-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)