ABSTRACT:As an important part of the scenic area infrastructure services, signage guiding system plays an indispensable role in guiding the way and improving the quality of tourism experience. This paper proposes an optimal method in signage location selection and direction content design in a scenic area based on geographic analysis. The object of the research is to provide a best solution to arrange limited guiding boards in a tourism area to show ways arriving at any scenic spot from any entrance. There are four steps to achieve the research object. First, the spatial distribution of the junction of the scenic road, the passageway and the scenic spots is analyzed. Then, the count of scenic roads intersection on the shortest path between all entrances and all scenic spots is calculated. Next, combing with the grade of the scenic road and scenic spots, the importance of each road intersection is estimated quantitatively. Finally, according to the importance of all road intersections, the most suitable layout locations of signage guiding boards can be provided. In addition, the method is applied in the Ming Tomb scenic area in China and the result is compared with the existing signage guiding space layout. INTRODUCATIONThe scenic signage guiding system is refer to the space and information environment, through different carriers, to comprehensive solution to the information transmission, identification, image transfer and other difficulties to help foreign tourists to obtain the required information system in the fastest time. As the important part of the tourism infrastructure, the scenic signage guiding system help tourists get the correct spatial direction and nearby environment information, ensure the activities of tourists in normally order. There are many problems in the scenic signage guiding system about the location and direction content in many scenic areas in china which is one of the countries in the world in which the tourism industry grows very fast currently. There is no unified planning of the layout of the scenic signage in order to cause that the space layout of the signage is not reasonable to waste of resources and so on. In the process of design the scenic signage, just from the angle of scenic management, without systematic theoretical guidance, and ignore the tourists' travel behaviour which can impact the tourists' travel experiences.Planning and design of the scenic signage guiding system should be Meet the needs of the tourists walking rules and resource saving. The direction content, location and number of the signage need be fully optimized in scenic area. Tilden (1957) has pointed out that the number of the signage does not require too many very early, which not only caused visual fatigue for tourists, but also increase the cost of construction of scenic area. Good (1999) thought the insufficient number of signage could not play the role of guiding effect, and may lead to that the interruption of information, way finding difficulties and lost in tourists. Therefore, the study of the ...
ABSTRACT:When tourists visiting multiple tourist scenic spots, the travel line is usually the most effective road network according to the actual tour process, and maybe the travel line is different from planned travel line. For in the field of navigation, a proposed travel line is normally generated automatically by path planning algorithm, considering the scenic spots' positions and road networks. But when a scenic spot have a certain area and have multiple entrances or exits, the traditional described mechanism of single point coordinates is difficult to reflect these own structural features. In order to solve this problem, this paper focuses on the influence on the process of path planning caused by scenic spots' own structural features such as multiple entrances or exits, and then proposes a doubleweighted Graph Model, for the weight of both vertexes and edges of proposed Model can be selected dynamically. And then discusses the model building method, and the optimal path planning algorithm based on Dijkstra algorithm and Prim algorithm. Experimental results show that the optimal planned travel line derived from the proposed model and algorithm is more reasonable, and the travelling order and distance would be further optimized.
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