南通大学学报（自然科学版）2025，Vol.24Issue(1)：28-39,12.DOI:10.12194/j.ntu.20240418002
基于复杂网络理论的我国交通业碳强度空间关联特征分析
Analysis on spatial correlation characteristics of transportation carbon intensity of China based on complex network theory
摘要
Abstract
It is of great significance to understand the variations and spatial correlation of carbon intensity in trans-portation industry for achieving the goals of energy conservation,emission reduction and"dual carbon".With the help of spatial econometric analysis and complex network theory,this paper quantifies the transportation carbon intensity of provinces in China from 2009 to 2021,analyzes its spatial and temporal characteristics by gini coefficient and kernel density estimation,and studies the structural evolution of spatial correlation networks for every provinces' transporta-tion carbon intensity by using improved gravity model and network characteristic indices.The results show that:1)The carbon intensity of transportation in China is decreasing year by year,and the rate of decrease is fluctuating.2)The unevenness of carbon intensity in transportation among various provinces is gradually decreasing,while the differ-ences in carbon intensity within each region are distinct,with the greatest disparities occurring among the provinces in North China.3)The spatial correlation of carbon intensity shows a complex network structure,and the center of the network gradually changes from Tianjin to Shanghai.4)The eastern coastal regions are close to the center of this net-work,featuring complex relationships and abundant information resources.The results of this study can provide some references for competent departments,offering theoretical guidance for assessing the emission reduction intensity of various provinces and cities and for formulating targeted collaborative emission reduction plans.关键词
交通业碳强度/空间关联/空间计量分析/复杂网络理论/社会网络分析Key words
transportation carbon intensity/spatial correlation/spatial econometric analysis/complex network theory/social network analysis分类
计算机与自动化引用本文复制引用
谢庆,刘家保..基于复杂网络理论的我国交通业碳强度空间关联特征分析[J].南通大学学报（自然科学版）,2025,24(1):28-39,12.基金项目
安徽省高校自然科学研究重点项目(KJ2020A0478) （KJ2020A0478）
安徽省重点教育教学研究项目(2022jyxm304) （2022jyxm304）
