Transportation network is the material conditions and prerequisites for the formation of the network system in metropolitan areas. It is also the main channel of material flow, energy flow and information flow, which plays an important role in the socio-economic development of metropolitan areas. Based on urban-rural road network (URRN) in Wuhan Metropolitan Area (WMA), this article systematically revealed the fractal features of URRN' s density and its evolution with the application of weighted length-radius fractal model by using GIS spatial analysis methods. The results were obtained as follows. Firstly, the URRN in WMA, to a certain degree, showed the characteristics of spatial complexity and the fractal structure of self-similarity. Secondly, the fractal dimension values of URRN in different grades such as national, provincial, township roads and so on followed the spatial distance decay law. And they were far smaller than the perfect number like 1.702, which showed that the URRN in WMA had a great potential to be improved. Thirdly, the density of URRN with a relatively high grade quickly attenuated from its measuring core to the periphery and represented a strong aggregative distribution pattern around Wuhan city. In contrast, the fractal value of URRN with the low rank grew up slowly, which indicated a strong filling capacity and high level of coverage. Fourthly, both the general and weighted length dimensions of the different URRN grades followed the distance-attenuation law, and they were divided into three spatial parts: core area, transitional area, and marginal area, each with its unique features. Meanwhile, they showed the core-periphery structure and obvious bifractals structure. Furthermore, its value of length-radius fractal dimension continually increased, which indicated that the structure of the road network tended to be gradually optimized.
LIU Chengliang, YU Ruilin, DUAN Dezhong
. Spatial-temporal structure of capacity fractal about urban-rural road network in Wuhan Metropolitan Area[J]. GEOGRAPHICAL RESEARCH, 2014
, 33(4)
: 777
-788
.
DOI: 10.11821/dlyj201404016
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