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Coupling of Rural Road Network's Spatial Pattern and Landform Morphological Factors by Multilayer Perception Neural Network

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Abstract:

Road, embedded in complex and diverse landform, is distributed in a certain spatial order and network structure. It is of great practical meaning to understand the coupling of rural road network's spatial patterns and landform morphological factors for regional rural road network's construction. Spatial distribution and gradient variation of different hierarchy structures of rural road were studied by creating special maps of slope, elevation, aspect, hypsography, SOS (slope of slope), surface cutting depth and roughness based on 1:2000 scale topographic map by GIS, in the Bashan, Shilian, and Sujia villages in Bashan town of Zhongxian, Chongqing. Then, the relationship between rural road's spatial pattern and landform morphological factors was discussed by MLP (multilayer perception) model. The results indicated that the ratios of spatial structure among production road, mechanized road, and high road in northwest, northeast, and southeast of the study area were 6:3:1, 10:4:1, and 4:1:0, respectively. Production road was exsited in each slope gradient area and concentrated in area with slope gradient of 5–25°. The percentage of mechanized road increased with the increase of slope below 5°, but declined dramatically above 5°. High road in below 5° area accounted for 98.41% of its total length. Besides, rural road was distributed differently at each elevation and aspect area. In general, the quantities of rural road increased with the increase of elevation, and declined with the increase of SOS, surface cutting depth, hypsography, and surface roughness, but were similar in each aspect area. Results from MLP further suggested that landform morphological factors showed different impacts on rural road's distribution. Moreover SOS, surface cutting depth, hypsography, and surface roughness showed significant effects, followed by slope. Therefore, landform morphology should be taken into consideration in the overall arrangement and structural design of regional rural road network.

Keywords: LANDFORM MORPHOLOGICAL FACTORS; MECHANIZED ROAD; MLP NEURAL NETWORK; PRODUCTION ROAD; RURAL ROAD

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/sl.2012.1892

Publication date: January 1, 2012

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