Main Article Content
This study proposes a personalized sightseeing planning system that optimizes travel routes to maximize tourist satisfaction considering cost and time constraints. The proposed mathematical model considers the places the tourist wants to visit, cost, and time available and recommends the optimal number of places that can be visited and the shortest routes to these places. The proposed system could successfully suggest local tourist spots that can be visited in the given time and budget. We believe that our study makes a significant contribution to the literature because travelers at present have to rely on information available from websites, guidebooks, social networking sites, or from family and friends to gather information of places they plan to visit. Such information may be brief or need not be up-to-date as real-time factors like weather, seasons, temperature, time of day, and crowding or recent attractions added may not be available. Further the model can be easily adopted by tourism industry worldwide, while the tourists receive reliable and accurate travel advise to enhance the travelling experience.
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Y. Matsuda, “An optimal routing problem for sightseeing and its solution,” IEEJ Trans. Electron. Inf. Syst., vol. 124, no. 7, pp. 1507–1514, 2004.
M. Muroya, “The attractiveness of sightseeing areas in japan: An evaluation model,” Transport Policy Studies' Rev., vol. 1, no. 1, pp. 014–024, 1998.
M. Fujimoto, “Tourism informatics: - smart tourism toward tourism informatics - : Gamified participatory sensing for a sightseeing,” (in Japanese), IPSJ Magazine, vol. 62, no. 11, pp. e18–e24, 2021, doi: 10.20729/00213186.
T. Tsuchiya, H. Hirose, T. Miyosawa, H. Sawano, T. Yamada, and K. Koyanagi, “Information management platform model for local sightseeing and disaster prevention information,” IFAC-PapersOnLine, vol. 48, no. 1, pp. 667–668, 2015.
T. Hasuike, H. Katagiri, H. Tsubaki, and H. Tsudaadd, “Interactive multi-objective route planning for sightseeing on time-expanded networks under various conditions,” Procedia Comput. Sci., vol. 22, pp. 221–230, 2013.
P. Kourouthanassis, “Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior,” Pervasive Mob. Comput., vol. 18, pp. 71–87, 2015.
Brand Research Institute. “Prefecture Attractiveness Ranking (Regional Brand Survey 2021).” NEWS.TIIKI.jp. https://news.tiiki.jp/articles/4698 (accessed Mar. 23, 2022).
M. Bazargan, “A linear programming approach for aircraft boarding strategy,” Eur. J. Oper. Res., vol. 183, pp. 394–411, 2007.
T. Saito, “How to create an optimized model using a data analysis library,” Commun. Oper. Res. Soc. Japan, vol. 63, no. 12, pp. 784–790, 2018.
H. Niitsuma, “Efficient constraints for tour recommendation,” IPSJ Trans. on Databases (TOD), vol. 9, no. 2, pp. 34–45, 2016.
R. J. Wilson, Introduction to Graph Theory, 4th ed. London, U.K.: Pearson Education, 1996.
V. V. Vazirani, Approximation Algorithms. Heidelberg, Germany: Springer, 2001.