Requirements and System Architecture of Tour Planning Support for Local Revitalization
Abstract
An aging society has evidently had effects such as the recent depopulation, the increase in abandoned farmland, and so on in Japan. Therefore, realizing local revitalization is of the utmost importance, and there are many countermeasures in place to guard against the effects of an aging society. In particular, tourism is one of the most effective countermeasures, and each region tries to introduce it with a combination of local resources. Although it is common knowledge that local revitalization has a positive effect in an affected area, it is difficult to maintain revitalization activities over the long term. Therefore, this paper discusses a framework for maintaining local revitalization based on the classification of sightseeing resources and a chain of them. Moreover, tour planning is essential in order to stimulate tourism and to maintain a supply of sightseeing resources. Therefore, the requirements and system architecture for tour planning support are introduced as the first step.
References
Ministry of Internal Affairs and Communications, “Long-term changes in population in Japan,” Dec. 2017: http://www.soumu.go.jp/main_content/000273900.pdf.
Ministry of Agriculture, Forestry and Fisheries, “Current state and countermeasures for denuded farmland,” Dec. 2017: http://www.maff.go.jp/j/nousin/tikei/houkiti/attach/pdf/index-4.pdf.
A. Sawada, H. Horii, M. Horii, M. Hayashi, M. Yoneda, and T. Yoshida, ”KuKuRI: Proposal for information system to support endogenous tourism development,” Jpn. Soc. Manag. Info. (JASMIN), 2010, pp. 17.
M. Kawasaki, ”A study on utilization of Michinoeki roadside parking station,” Master thesis of Kochi University of Technology, 2014.
Y. Koyama, ”Sightseeing and peninsula promotion,” Land Inst. Jpn., vol. 19, no. 4, 2011, pp. 21-39.
J. Kobayashi, A. Soshiroda, H. Takei, and T. Miura, ”A study on products of destination-based tourism with regional resources produced by 3rd –class travel,” J. Jpn. Inst. Tour. Res., Tour. Stud., vol. 23, no. 1, 2011, pp. 39-47.
P. Checkland and J. Scholes, Soft Systems Methodology in Action, John Wiley & Sons, 1990.
M. Iwashita and S. Kato, “Local Revitalization Model Based on Soft Systems Methodology,” Proc. IEEE/ICIS2016, 2016, p. 1007-1012.
T. Hara et al., Introduction to Tourism Informatics (in Japanese), Kindai Kagakusya Co. Ltd., 2015.
J. Borras, A. Moreno, and A. Vallas, ”Intelligent tourism recommender systems: A survey,” Expert Systems with Applications, vol. 41, no. 16, 2014, pp. 7370-7389.
U. Gretzel, “Intelligent systems in tourism: A social science perspective,” Annals of Tourism Research, vol. 38, no. 3, 2011, pp. 757-779.
P. Vansteenwegen and W. Souffriau, “Trip planning functionalities: State-of-the-art and future,” Information Technology and Tourism, vol. 12, no. 4, 2011, pp. 305-315.
P. Vansteenwegen, W. Souffriau, G. V. Berghe, and D. V. Oudheusden, ”The City Trip Planner: An expert system for tourism,” Expert Systems with Applications, vol. 38, no. 6, 2011, pp. 6540-6546.
T. Hara, ”Tourism Informatics and Tour Planning Services Toward Tokyo Olympics and Paralympics 2020,” Journal of the Japanese Society for Artificial Intelligence, vol. 31, no. 6, 2016, pp. 858-863.
E. W. Dijkstra, ”A note on two problems in connexion with graphs,” Numerische Mathematik, vol. 1, 1959, pp. 269-271.
C. Rego, D. Gamboa, F. Glover, and C. Osterman, ”Traveling salesman problem heuristics: leading methods, implementations and latest advances,” European Journal of Operational Research, vol. 211, no. 3, 2011, pp. 427-441.
Oga City Hall, “Tourism statistics,” Dec. 2017: http://www.city.oga.akita.jp/index.cfm/12, 15817,c,html/15817/20170630-143643.pdf.
D. F. Watson, ”Computing the n-dimensional Delaunay tessellation with application to Voronoi polytopes,” Comput. J., vol. 24, no. 2, 1981, pp. 167-172.
B. E. Gillet and L. R. Miller, ”A heuristic algorithm for the vehicle dispatch problem,” Operations Research, vol. 2, 1971, pp. 340-350.
