我国综合立体交通网中心节点评估识别

Evaluation and Identification of Central Nodes in Integrated Transportation Network in China

摘要:

针对学术界对于交通中心节点的评估识别还存在指标体系考虑因子不足、计算方法导致信息损失等问题，且未见全国层面的区县级精度研究，构建涵盖政治战略、社会经济、交通运输、国土生态等方面共18个指标的中心节点评估指标体系，基于全国区县级单元，利用专家赋值法和多维魔方法开展更全面、更详细、更精准的交通节点评估识别，以提高综合交通的整体运转效率，实现交通与国土空间的协同发展。评估识别出687个区县级中心节点并分为3个级别，这些中心节点具有良好的全国性服务与覆盖水平。总体上看，经济越发达、区域面积越大的省份拥有较多的中心节点，土地面积在中心节点筛选中作用凸显；经济较发达、区域面积较小的省份中心节点占单元总数的比例较高，经济因素的作用更明显。

Abstract:

Transport nodes are the distribution cores of different transportation infrastructures and people and goods flows. Scientific identification and setting of transport center nodes is the key to comprehensive transportation research under the Background of land space planning. There are some researches on comprehensive transport planning and transport nodes, but there are still some problems in the identification of transport center nodes, such as insufficient consideration of index system factors, information loss caused by calculation methods, and no county-level accuracy research at the national level. In this study, a central node evaluation index system covering 18 indicators from political strategy, social economy, transportation, and land and ecology was constructed. Using expert assignment method and multidimensional magic cube technology, 687 county-level central nodes were identified and divided into three levels. The selected center node has good comprehensive service and coverage level. This study can provide scientific reference for the planning and construction of comprehensive three-dimensional transport network at different levels in China, and help the coordinated development of traffic power construction and land space development and protection.