Abstract
The study concerns on building a network used to provide a scientific and comprehensive alternative parking lot choice scheme when the driver's preferred parking lot is full. A parking supply-demand model is created combining with improved parking generation rate method and multiplication-weighted Voronoi diagram. Then the alternative relationship between two parking lots is determined according to the model, which can be materialized as the edge of the network. In the case, 49 parking lots in Nangang district, Harbin are used to set the parking lot network using the traditional and improved parking generation method to analyze their complex network basic parameters. The result is compared with the globally coupled network and nearest-neighbor coupled network. Data analysis shows that the parking lot determined by the connection algorithm has strong robustness, which means it is stable when facing a random attack. It also has a balanced performance in mean node degree, clustering coefficient, and other parameters comparing with the other two kinds of networks. It suggests that this method is a feasible method to select alternative parking lots when drivers cannot take service from their first parking choice.
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