城市物流量空间分布位序规模模型

Rank-scale model for spatial distribution of urban logistics quantity

为准确预估物流量在城市体系空间分布的情况,从而合理规划区域性公共基础设施,根据帕累托原理,通过对全国35个经济单列城市的物流量数据分析,建立城市物流量空间分布的位序规模模型;得出物流量分布首位城市现象,及随着时间的推移城市物流量在空间分布上的聚集性有所弱化的结论;指出根据城市物流量空间分布规律以及变化的趋势,在规划建设大型基础设施时可以优先考虑首位城市的需求;此外,物流网络节点位置与大小的设置,也需要以物流量空间分布数据为基础进行合理安排.

In order to accurately forecast logistics quantity distribution for reasonably planning the regional public infrastructure in city system, based on the Pareto principle, a rank-scale model for spatial distribution of urban logistics quantity is established by the help of analyzing freight volume data of 35 separately-itemized cities in China. The results such that the logistics quantity of a city depends on the top scale of the prime city, and with the lapse of time the strength of spatial fusion of the urban logistics quantity will weaken, are obtained. It indicates that, according to the spatial distribution rule and changing tendency of the urban logistics quantity, the prime city＇ s need should be considered first in planning large-scale infrastructural facilities, the establishments of node positions and scales of logistics nets must be arranged reasonably under the spatial distribution data of the logistics quantity.