Information Support for Sustainable Tourism

Abstract

Abstract. This paper focuses on possibilities of information provision for tourists so that they can get familiar more easily with new cultures and the "unknown" environment by means of commonly known and user friendly interfaces. Each object of interest can be equipped with a wireless identification tag that can serve as: 1) Pointer to already downloaded information and thus associate it with the real object in his proper environment. 2) Link for downloading of information in real time -if a wireless communication is available. 3) Direct provider of such information -if the identification tag has sufficient capacity. 4) Provider for feedback inclusive management of tourist movement so that the communication routes are not overloaded. Information support for such kinds of tourist areas is presented. Logistic model based on Petri nets is used for simulation and life cycle assessment following Ekoindikator 99 is evaluated. Advantages of described solutions are discussed.

Real-time value of tourist big data: a case study of Red River Canyon rafting scenic spot

“…The stage of acquisition mainly collects big data through the Internet of Things in the scenic spot and the mobile terminal of tourists, and transmits this information to the information management center of the scenic spot. Then in the stage of processing, the time Petri net method [2][3][4] can be used to simulate the diversion management of tourists in the scenic spot, the Kalman filter algorithm [5][6][7] can be used to predict the passenger flow in the future, and the ant colony algorithm [8][9][10] provides route planning for tourists. Finally, in the stage of application, the managers of scenic spot make timely decisions to remotely control the passenger flow of each important points in the scenic spot, or send staff to maintain order on the site.…”