交通基础设施空间特征参数的多维估计方法

Multi-dimensional Estimation Method of Spatial Characteristic Parameters of Transportation Infrastructure

为系统提取交通基础设施的空间属性数据,获取其空间发展特征以辅助区域交通运输规划,本文基于空间分异理论和空间剥夺理论,采集交通基础设施发展水平评价数据,定义空间异质系数和空间依赖系数,构建了空间特征参数的多维估计方法;并以西部12省为实例,通过对比分析省域尺度和城市尺度的估计结果,验证模型的有效性.结果表明:省域尺度下交通基础设施空间发展较为均衡,空间依赖特性不显著;城市尺度下交通基础设施发展异质特征明显,存在显著的空间依赖特性.最后,基于情景假设分析,验证了空间特征参数对交通资源优化配置的重要决策价值.本文所构建的多维估计方法,可实现不同尺度下交通基础设施空间特征参数的精确测度,在交通运输规划领域具有较好的适用性.

To extract the space attribute data of transportation infrastructure and obtain the spatial development regularity which can assist regional transportation planning, the theory of spatial differentiation and spatial deprivation is introduced. Considering the spatial heterogeneity coefficient and the spatial dependence coefficient,the spatial characteristic parameter multi-dimensional estimation method of transportation infrastructure is built based on transportation infrastructure development level evaluation data. Then taking the 12 provinces in the western China as an example, the effectiveness of the model is verified by comparatively analyzing the estimated results between provincial and urban scales. The results show that the development of transportation infrastructure is more balanced and the spatial dependence is not significant, and there is significant spatial dependence in city scales. Finally, based on the scenario hypothesis analysis, the decision value of spatial characteristic parameters on the allocation of transportation resources is verified. The method of multi-dimensional estimation can realize the accurate measurement of the parameters of spatial property of transportation infrastructure in different scales, and it has better applicability in the field of transportation planning.