SCIENTIA GEOGRAPHICA SINICA ›› 2015, Vol. 35 ›› Issue (9): 1086-1094.doi: 10.13249/j.cnki.sgs.2015.09.1086

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Cultural Landscape Perception Degree Model and Perception Function Division Based on DEM of Traffic Line: A Case Study of Zijingguan Great Wall

Ren-jie LI1,2(), Feng GU1(), Feng-hua GUO3, Xue-qing FU1,2   

  1. 1. College of Resources and Environment Science, Hebei Normal University, Shijiazhuang, Hebei 050024, China
    2.Hebei Key Laboratory of Environmental Change and Ecological Construction,Shijiazhuang, Hebei 050024, China
    3. Hebei Institute of Geographical Sciences, Shijiazhuang, Hebei 050011, China
  • Received:2014-05-13 Revised:2014-10-14 Online:2015-09-25 Published:2015-09-25


Landscape perception is the result of the interaction between human and landscape. Viewshed analysis and visibility analysis are used for Landscape perception researches as important means. In this article, based on the existing landscape perception concepts and models, we try to establish a model named traffic line landscape perception degree model to solve the research and compute problems of the large-scale landscape perception degree on specific linear spatial units or areas. The model is actually the aggregate of single-point, multi-point and group scale traffic line landscape perception degree which is divided by the size and characteristics of the landscapes. And we build three formulas to validate the method of our model about landscape perception calculation. The approach is tested using a popular traffic line through the Zijingguan section of Great Wall in Hebei Province. Firstly, for quantitative calculation of the Zijingguan landscape perception near the highway and the railway line, the DEM data are used to calculate landscape viewshed analysis with some weighting factors such as resources value and status of remains. Aspect, distance and some others can also be weighting factors of a landscape relative to the observer. Then, according to the distribution of landscape perception along traffic line, the best sensing function sections and the best viewing positions of the single-point landscapes including enemy units, beacon towers, horse face, wall landscapes, various groups landscapes and integrated landscapes are divided accurately. Finally, we know that the continuity of highways perceived position is much stronger while the ones of the railways are relatively discrete, and the highway perception effect is better than that of railway perception. It is mainly attributed to the undulating terrain. The traffic line landscape perception degree model is particularly suitable for the analysis of large-scale landscapes, magnificent buildings and other landscape perception instead of delicate landscape in a close distance, and it can quantitatively calculate the distribution of landscapes along the traffic line and determine their linear distribution pattern. The raster images enable the planners or tourists to identify areas where the peak of emotional responses may occur in order to maximize viewing opportunities of beautiful landscapes and areas, or find potential locations to view landscape along traffic line. In this way, the railways, highways, rural roads, other ground transit routes and waterways can be used as non-specialized traveling space carriers in the fast viewing process of landscapes. This research represents the traffic line landscape perception degree model as a kind of extension of the tourism landscape planning and design methods, which can expand the tourism landscape planning and design from the inside tourism area to the outside. The model is also meaningful in the study of tourism landscape guiding design, and the researches of tourism culture transmission ways and efficiency.

Key words: landscape perception degree, cultural landscape, traffic line, function division, DEM, Zijingguan Great Wall

CLC Number: 

  • P901