南通大学学报（自然科学版）

[1]张莹，吉治璇，潘家华.“双碳”目标下的经济社会系统性变革：特征、要求与路径[J].北京工业大学学报（社会科学版），2024, 24(1):101-115.ZHANG Y, JI Z X, PAN J H. Systemic socio-economic transformation under the goals of carbon peak and carbon neutrality:characteristics, requirements and paths[J]. Journal of Beijing University of Technology(Social Sciences Edition), 2024, 24(1):101-115.(in Chinese)

[2]郑兰祥，冯梦蝶，隋雯慧，等.长三角新能源汽车产业金融支持现状、问题及对策[J].中国集体经济，2023(30):114-117.ZHENG L X, FENG M D, SUI W H, et al. Present situation, problems and countermeasures of financial support for new energy automobile industry in Yangtze River Delta[J]. China Collective Economy, 2023(30):114-117.(in Chinese)

[3]贾璐宇，王克.碳中和背景下中国交通部门低碳发展转型路径[J].中国环境科学，2023, 43(6):3231-3243.JIA L Y, WANG K. Low-carbon transition pathways for China′s transportation sector under the background of carbon neutrality[J]. China Environmental Science, 2023, 43(6):3231-3243.(in Chinese)

[4]陈泽生，黄雅迪，张洋.交通碳排放统计和计算方法探讨[J].西部交通科技，2023(7):204-206.CHEN Z S, HUANG Y D, ZHANG Y. Discussion on statistics and calculation method of traffic carbon emission[J]. Western China Communications Science&Technology, 2023(7):204-206.(in Chinese)

[5]田泽，肖玲颖，刘超，等.中国城镇化对交通运输业碳排放的空间效应研究[J].技术经济，2023, 42(1):141-153.TIAN Z, XIAO L Y, LIU C, et al. Research on the spatial effect of urbanization on the carbon emission of transportation industry in China[J]. Journal of Technology Economics,2023, 42(1):141-153.(in Chinese)

[6]陈亮，池维源，李巧茹，等.基于交通运输高质量发展的区域交通碳排放影响因素研究[J].公路，2019, 64(6):171-176.CHEN L, CHI W Y, LI Q R, et al. Study on influencing factors of regional traffic carbon emissions based on highquality development of transportation[J]. Highway, 2019,64(6):171-176.(in Chinese)

[7]胡怀敏，左薇，徐士元.长江经济带交通能源碳排放脱钩效应及驱动因素研究[J].长江流域资源与环境，2022,31(4):862-877.HU H M, ZUO W, XU S Y. Decoupling effect and driving factors of transportation energy carbon emission in Yangtze River economic belt[J]. Resources and Environment in the Yangtze Basin, 2022, 31(4):862-877.(in Chinese)

[8]袁长伟，乔丹，杨颖芳，等.中国省域交通碳排放强度空间分异与聚类分析[J].环境工程，2018, 36(7):185-190.YUAN C W, QIAO D, YANG Y F, et al. Spatial differentiation and clustering of transport carbon intensity in China′s provincial region[J]. Environmental Engineering,2018, 36(7):185-190.(in Chinese)

[9]王利军，庞雅倩，陈梦冬.湖北省交通业碳排放影响因素及情景预测[J].资源与产业，2022, 24(3):106-113.WANG L J, PANG Y Q, CHEN M D. Carbon emission factors and scenario forecast of Hubei′s transportation industry[J]. Resources&Industries, 2022, 24(3):106-113.(in Chinese)

[10]张毅，张恒奇，欧阳斌，等.绿色低碳交通与产业结构的关联分析及能源强度的趋势预测[J].中国人口·资源与环境，2014, 24（增刊3）:5-9.ZHANG Y, ZHANG H Q, OUYANG B, et al. Analysis and forecast of energy consumption in transportation industry:based on the grey model[J]. China Population, Resources and Environment, 2014, 24(Sup3):5-9.(in Chinese)

[11]肇晓楠，谢新连，赵瑞嘉.基于滑动窗口动态输入LSTM网络的铁路运输系统碳排放量预测方法[J].交通信息与安全，2023, 41(1):169-178.ZHAO X N, XIE X L, ZHAO R J. A method for predicting carbon emission of railway transportation system based on an LSTM network with dynamic input via sliding window[J]. Journal of Transport Information and Safety, 2023,41(1):169-178.(in Chinese)

[12]郑琰，蒋雪梅，肖玉杰.交通运输业碳排放效率时空演变及趋势预测[J].环境科学，2024, 45(4):1879-1887.ZHENG Y, JIANG X M, XIAO Y J. Spatio-temporal evolution and trend prediction of transport carbon emission efficiency[J]. Environmental Science, 2024, 45(4):1879-1887.(in Chinese)

[13]卢升荣，蒋惠园，刘瑶.交通运输业CO2排放区域差异及影响因素[J].交通运输系统工程与信息，2017, 17(1):32-39.LU S R, JIANG H Y, LIU Y. Regional disparities and influencing factors of CO2emission in transportation industry[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(1):32-39.(in Chinese)

[14]陆杉，李雯.长江中游城市群工业碳排放空间关联及其影响因素[J].环境科学与技术，2023, 46(8):227-236.LU S, LI W. Spatial network structure of industrial carbon emission of urban agglomerations in the middle reaches of the Yangtze River and its influencing factors[J]. Environmental Science&Technology, 2023, 46(8):227-236.(in Chinese)

[15] BAI C Q, ZHOU L, XIA M L, et al. Analysis of the spatial association network structure of China′s transportation carbon emissions and its driving factors[J]. Journal of Environmental Management, 2020, 253:109765.

[16] XU H C, LI Y L, ZHENG Y J, et al. Analysis of spatial associations in the energy-carbon emission efficiency of the transportation industry and its influencing factors:evidence from China[J]. Environmental Impact Assessment Review, 2022, 97:106905.

[17] EGGLESTON S, BUENDIA L, MIWA K, et al. 2006IPCC guidelines for national greenhouse gas inventories[Z].Kanagawa:Institute for Global Environmental Strategies,2006.

[18]顾誉鑫，薛亮.长三角地区交通运输碳排放测算及分析[J].物流工程与管理，2022, 44(10):85-88.GU Y X, XUE L. Calculation and analysis of transportation carbon emission in Yangtze River Delta[J]. Logistics Engineering and Management, 2022, 44(10):85-88.(in Chinese)

[19]彭武元，程晓龙.中国交通运输业碳排放强度区域差异研究：基于面板分位数回归模型[J].生产力研究，2020(3):1-5.PENG W Y, CHENG X L. Regional differences of carbon emission intensity in China′s transportation industry-regression model based on panel quantile[J]. Productivity Research, 2020(3):1-5.(in Chinese)

[20]章激扬.长三角城市群创新发展空间差异及收敛性研究：基于Dagum基尼系数分解[J].长江流域资源与环境，2023, 32(2):235-249.ZHANG J Y. Spatial difference and convergence of innovative development in Yangtze River Delta:based on dagum gini coefficient and decomposition[J]. Resources and Environment in the Yangtze Basin, 2023, 32(2):235-249.(in Chinese)

[21]中国科学院《中国自然地理》编辑委员会.中国自然地理总论[M].北京：科学出版社，1985.

[22]孙阳春，郭明玉.我国区域高等教育水平分布的动态演化：基于核密度估计法[J].黑龙江高教研究，2016, 34(1):5-8.SUN Y C, GUO M Y. On the evolution of regional higher education level in China:based on kernel density estimation[J]. Heilongjiang Researches on Higher Education,2016, 34(1):5-8.(in Chinese)

[23]马歆，高煜昕，李俊朋.中国碳排放结构信息熵空间网络关联及影响因素研究[J].软科学，2021, 35(7):25-30.MA X, GAO Y X, LI J P. Research on spatial network correlation and influencing factors of information entropy of carbon emission structure of China[J]. Soft Science, 2021,35(7):25-30.(in Chinese)

[24]冯颖，侯孟阳，姚顺波.中国粮食生产空间关联网络的结构特征及其形成机制[J].地理学报，2020, 75(11):2380-2395.FENG Y, HOU M Y, YAO S B. Structural characteristics and formation mechanism of spatial correlation network of grain production in China[J]. Acta Geographica Sinica,2020, 75(11):2380-2395.(in Chinese)

[25]彭鑫蓓，刘家保.复杂网络视角下我国居民能源消费碳排放的空间关联分析[J].南通大学学报（自然科学版），2023, 22(4):50-61.PENG X B, LIU J B. Spatial correlation analysis of carbon emissions from residential energy consumption in China from the perspective of complex networks[J]. Journal of Nantong University(Natural Science Edition), 2023, 22(4):50-61.(in Chinese)

[26]曹洁琼，其格其，高霞.合作网络“小世界性”对企业创新绩效的影响：基于中国ICT产业产学研合作网络的实证分析[J].中国管理科学，2015, 23（增刊1）:657-661.CAO J Q, QI G Q, GAO X. The impact of collaboration network′s small-world characteristics on firm innovation performance:an empirical research on industry-universityresearch collaboration network in Chinese ICT industry[J].Chinese Journal of Management Science, 2015, 23(Sup1):657-661.(in Chinese)

[27]关伟，王勇，许淑婷.中国工业碳排放的网络结构及影响因素研究[J].资源与产业，2023, 25(5):40-49.GUAN W, WANG Y, XU S T. Network structure and factors of China′s industrial carbon emission[J]. Resources&Industries, 2023, 25(5):40-49.(in Chinese)

[28]张壹宁.基础研究空间网络关联结构及影响因素分析[J].上海理工大学学报，2021, 43(4):400-408.ZHANG Y N. Spatial network structure and influencing factors of basic research[J]. Journal of University of Shanghai for Science and Technology, 2021, 43(4):400-408.(in Chinese)

[29] FREEMAN L C. Centrality in social networks conceptual clarification[J]. Social networks, 1979, 1(3):215-239.

[30]洪思扬，程涛，王红瑞.长江经济带水资源-能源网络特征[J].资源科学，2021, 43(9):1794-1807.HONG S Y, CHENG T, WANG H R. Characteristics of the water-energy network in the Yangtze River Economic Belt[J]. Resources Science, 2021, 43(9):1794-1807.(in Chinese)