中国交通枢纽城市生态交通效率时空特征分析

doi:10.16097/j.cnki.1009-6744.2024.01.002

摘要/Abstract

摘要： 为探究中国交通枢纽城市生态交通效率的发展水平及其时空特征，寻求综合交通运输体系绿色低碳发展的有效路径，以中国20个国际性综合交通枢纽城市作为研究对象，采用超效率EBM(Epsilon-Based Measure)模型测度其生态交通效率，并运用核密度估计法、标准差椭圆法和Dagum基尼系数探析其时空演变和区域差异特征。结果表明：2011—2021年，中国国际性综合交通枢纽城市的生态交通效率总体发展较好，但未达到有效水平，从比较不同交通功能的枢纽城市来看，国际枢纽海港城市大于国际铁路枢纽城市大于国际航空枢纽城市；随着中国早期各类交通基础设施的提速建设和后期绿色低碳交通发展战略的逐步实施，总体生态交通效率先下降后上升，各城市间极化现象不稳定，但高效率值的城市增多；空间分布呈现西南-东北格局，具有从西南向东北集聚的趋势；沿海区域枢纽城市的效率整体高于内陆区域枢纽城市，总体区域差异和区域间差异均为先扩大后缩小，总体区域差异的主要根源在于区域内差异。

关键词: 综合运输, 生态交通效率, 超效率EBM模型, 时空特征, 国际性综合交通枢纽城市

Abstract: This study aims to explore the development stages and spatiotemporal characteristics of eco-transport efficiency within Chinese transport hub cities and to identify effective pathways for fostering green and low-carbon comprehensive transportation systems. A selection of 20 international integrated transport hub cities in China serves as the research subjects. The paper employs the super-efficiency EBM (Epsilon-Based Measure) model to calculate eco-transport efficiency and applies the kernel density estimation method, standard deviation ellipse method, and Dagum Gini coefficient to explore their characteristics of spatiotemporal evolution and regional difference. The findings reveal that, between 2011 and 2021, the overall eco-transport efficiency within the 20 hub cities showcased significant development but failed to reach an effective level. Comparison among hub cities based on their transport functions indicated a hierarchy of efficiency: seaport hub cities > railway hub cities > aviation hub cities. With the accelerated construction of various transport infrastructures in China's early stages and the gradual implementation of the green and low-carbon transport development strategy in the later stage, there is a fluctuation in overall eco-transport efficiency, initially decreasing and then increasing. Meanwhile, the polarization phenomenon among cities exhibited instability, but the number of cities with high-efficiency values was increasing. The spatial distribution presented a "Southwest-Northeast" pattern, agglomerating from the southwest toward the northeast. Coastal hub cities exhibited higher average efficiency compared to their inland hub cities, and the overall regional difference and inter-regional difference showed the same trend of first expanding and then narrowing.

Key words: integrated transportation, eco-transport efficiency, super-efficiency EBM model, spatiotemporal characteristics, international integrated transport hub city

中图分类号:

U115

汪玲, 王琪, 唐磊. 中国交通枢纽城市生态交通效率时空特征分析[J]. 交通运输系统工程与信息, 2024, 24(1): 14-23.

WANG Ling, WANG Qi, TANG Lei. Spatiotemporal Characteristics of Eco-transport Efficiency in Transport Hub Cities of China[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 14-23.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2024.01.002

http://www.tseit.org.cn/CN/Y2024/V24/I1/14

参考文献

[1] 欧国立, 王琦珀. 建设新时代生态综合交通强国: 基于绿色发展理念的思考[J]. 长安大学学报(社会科学版), 2018, 20(5): 11-23. [OU G L, WANG Q P. Building an ecologically integrative country with powerful transportation in the new era: Thinking based on the concept of green development[J]. Journal of Chang'an University (Social Science Edition), 2018, 20(5): 11-23.]

[2] 陆化普, 蔚欣欣, 胡启洲, 等. 基于模糊界定的城市生态交通综合测度模型[J]. 交通运输系统工程与信息, 2010, 10(3): 86-92. [LU H P, WEN X X, HU Q Z, et al. Comprehensive evaluation model for urban eco-traffic based on Fuzzy define[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(3): 86-92.]

[3] 欧国立, 王妍, 王晋超. 基于城市复合生态系统理论的城市生态交通发展评价[J]. 长安大学学报(社会科学版), 2018, 20(3): 27-37. [OU G L, WANG Y, WANG J C. Evaluation research on urban ecological traffic development based on urban complex ecosystem[J]. Journal of Chang'an University (Social Science Edition), 2018, 20(3): 27-37.]

[4] 陈文文, 欧国立. 生态交通理论认识及区域生态交通状况评价: 以北京市为例[J]. 生态经济, 2019, 35(5): 94-99. [CHEN W W, OU G L. The theory of ecological transportation and regional ecological traffic condition evaluation: Taking Beijing as an example[J]. Ecological Economy, 2019, 35(5): 94-99.]

[5] 陈沿伊, 曹莹, 张佳楠, 等. 基于 DEMATEL-BCC 模型的深圳市生态交通发展效率评价[J]. 重庆交通大学学报(自然科学版), 2020, 39(7): 27-32. [CHEN Y Y, CAO Y, ZHANG J N, et al. Evaluation of the development efficiency of Shenzhen ecological transportation based on DEMATEL-BCC model[J]. Journal of Chongqing Jiaotong University (Natural Science), 2020, 39(7): 27-32.]

[6] 郑兵云, 杨冕. 基于生态环境的城市交通效率及其影响因素分析[J]. 华东经济管理, 2018, 32(6): 164-170. [ZHENG B Y, YANG M. An analysis of urban transport efficiency based on ecological environment and its influencing factors[J]. East China Economic Management, 2018, 32(6): 164-170.]

[7] 贾鹏, 胡燕, 袁爽, 等. 中国省域综合交通运输效率及空间关联性研究[J]. 科研管理, 2020, 41(9): 219-229. [JIA P, HU Y, YUAN S, et al. A research on the comprehensive transportation efficiency and its spatial relevancy in China's provinces[J]. Science Research Management, 2020, 41(9): 219-229.]

[8] 宋京妮, 吴群琪, 孙启鹏, 等. 基于SBM-undesirable模型的综合运输效率评价[J]. 交通运输系统工程与信息, 2015, 15(5): 32-38. [SONG J N, WU Q Q, SUN Q P, et al. SBM-undesirable model-based efficiency evaluation for integrated transportation[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5): 32-38.]

[9] 马奇飞, 贾鹏, 匡海波. 中国综合交通运输绿色效率的空间特征研究[J]. 交通运输系统工程与信息, 2022, 22 (6): 300- 308. [MA Q F, JIA P, KUANG H B. Spatial characteristics of comprehensive transportation green efficiency in China[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(6): 300-308.]

[10] 孙启鹏, 郭小壮, 蒋文静, 等. 中国省域货物运输效率评价及时空演化研究: 以“一带一路”为背景[J]. 工业技术经济, 2018, 37(4): 53-61. [SUN Q P, GUO X Z, JIANG W J, et al. Study on efficiency evaluation and spatio-temporal evolution of freight transport in China: With "One Belt and One Road" as the background[J]. Journal of Industrial Technological Economics, 2018, 37 (4): 53-61.]

[11] 吕雁琴, 范天正, 张晋宁. 中国交通运输碳排放效率的时空异质性及影响因素研究[J]. 生态经济, 2023, 39(3): 13-22. [LV Y Q, FAN T Z, ZHAGN J N. Spatiotemporal characteristics and influencing factors of China's transport sector carbon emissions efficiency[J]. Ecological Economy, 2023, 39(3): 13-22.]

[12] 董会忠, 郭雪莲. 中国交通运输业碳排放效率时空演化特征研究[J]. 华东经济管理, 2023, 37(7): 70-80. [DONG H Z, GUO X L. Research on the spatio-temporal evolution characteristics of carbon emission efficiency in China's transportation industry[J]. East China Economic Management, 2023, 37(7): 70-80.]

[13] 贾峰, 闫世东, 曾红鹰, 等. 数字化电动化出行模式助力实现“碳中和”: 基于滴滴出行平台2018—2021年减碳数据分析[J]. 世界环境, 2021(5): 52-55. [JIA F, YAN S D, ZENG H Y, et al. Digital electric travel mode facilitate the realization of "carbon neutrality": Analysis on carbon reduction data of 2018-2021 based on Didi Chu Xing[J]. World Environment, 2021(5): 52-55.]

[14] TONE K, TSUTSUI M. An epsilon-based measure of efficiency in DEA: A third pole of technical efficiency[J]. European Journal of Operational Research, 2010, 307(3): 1554-1563.

[15] 邓淇中, 张玲. 长江经济带水资源绿色效率时空演变特征及其影响因素[J]. 资源科学, 2022, 44(2): 247- 260. [DENG Q Z, ZHANG L. Spatiotemporal pattern and influencing factors of green efficiency of water resources in the Yangtze River Economic Belt[J]. Resources Science, 2022, 44(2): 247-260.]

[16] 王美, 刘殿国. 中国省域农业环境效率测算及收敛性分析: 基于非期望产出的超效率EBM模型[J]. 数学的实践与认识, 2020, 50(9): 20-27. [WANG M, LIU D G. Estimation and convergence analysis of China's provincial agricultural environment efficiency: Super-efficiency EBM model based on undesired output[J]. Mathematics in Practice and Theory, 2020, 50(9): 20- 27.]

[17] 林紫藤, 张艳荣. 我国畜牧业绿色全要素生产率时空差异及影响因素研究[J]. 生态与农村环境学报, 2023, 39(9): 1144-1157. [LIN Z T, ZHAGN Y R. Temporal and spatial differences and influencing factors of green total factor productivity of animal husbandry in China[J]. Journal of Ecology and Rural Environment, 2023, 39(9): 1144-1157.]