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清华大学学报(自然科学版)  2022, Vol. 62 Issue (7): 1236-1250    DOI: 10.16511/j.cnki.qhdxxb.2022.26.010
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城市群绿色交通水平测度与时空演化特征实证研究
马壮林1, 高阳1, 胡大伟1, 王晋2, 马飞3, 熊英4
1. 长安大学 运输工程学院, 西安 710064;
2. 云南省交通科学研究院有限公司, 昆明 650011;
3. 长安大学 经济与管理学院, 西安 710064;
4. 西安市交通信息中心, 西安 710005
Green transportation level measurements and spatial-temporal evolution characteristics of urban agglomeration transportation systems
MA Zhuanglin1, GAO Yang1, HU Da-wei1, WANG Jin2, MA Fei3, XIONG Ying4
1. College of Transportation Engineering, Chang'an University, Xi'an 710064, China;
2. Yunnan Science Research Institute of Communication Co., Ltd., Kunming 650011, China;
3. School of Economics and Management, Chang'an University, Xi'an 710064, China;
4. Xi'an Traffic Information Center, Xi'an 710005, China
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摘要 发展绿色交通是落实生态文明建设的重要途径,构建绿色交通水平测度模型、分析绿色交通水平时空演化特征是制定绿色交通发展政策的前提和基础。该文采用驱动力-压力-状态-影响-响应(driver-pressure-state-impact-response,DPSIR)模型分析城市群绿色交通各子系统与社会、经济、资源和环境之间的相互作用机理,构建城市群绿色交通水平测度指标体系,采用直觉模糊层次分析法(intuitionistic fuzzy analytic hierarchy process,IFAHP)和熵权法对指标进行赋权,并利用改进的集对分析-可变模糊集模型构建城市群绿色交通水平综合测度模型,引入贡献度和障碍度模型分别探究影响和限制城市群绿色交通水平的显著因素,最后以关中城市群为研究对象进行实例分析。结果表明:关中城市群绿色交通属于一般水平,其时间演化趋势大致呈“N”形阶段特征,空间演化分布呈“西高东低—南高北低”的分布特征,且各城市差距逐渐缩小;改进模型的测度结果较传统模型更为准确,更能反映城市群交通系统的可变模糊性;准则层中状态层面贡献度最高,对促进关中城市群绿色交通发展具有明显作用,驱动力因素贡献度最低;指标层中制约关中城市群绿色交通发展的关键因素分别为日均公交车客运量、道路路灯覆盖率、万人公交车标台数、人均GDP和人均公园绿地面积。研究结论可为促进城市群绿色交通发展、实现交通行业低碳化转型、达成碳中和目标提供理论支撑。
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马壮林
高阳
胡大伟
王晋
马飞
熊英
关键词 城市群绿色交通水平测度指标体系DPSIR模型改进的集对分析-可变模糊集    
Abstract:Green transportation systems are an important part of environmentally balanced societies. A green transportation level measurement model is needed to enable analyses of the spatial-temporal evolution characteristics of green transportation systems for green transportation development policies. This study used the driver-pressure-state-impact-response (DPSIR) model to analyze the interactions between various sub-systems of green transportation systems in complex urban agglomeration environments, along with the economics, resources and environmental impact. The green transportation level measurement index for urban agglomeration systems used index weights weighted by a combination of the intuitionistic fuzzy analytic hierarchy process (IFAHP) and entropy weighting. Then, a set pair analysis with variable fuzzy set model was utilized to construct a comprehensive measurement model for urban agglomeration green transportation levels. The contribution degree and obstacle degree models were used to identify the key factors affecting and restricting urban agglomeration green transportation transportation levels. Finally, the models are applied to the Guanzhong urban agglomeration(GUA). The results show that this green transportation system is a general level system and its temporal evolution trends have "N" stage characteristics. The system spatial evolution is "high in the west and low in the east, and high in the south and low in the north" with the gaps between cities gradually narrowing. The model results are more accurate than those of the traditional model and better reflect the fuzziness of urban agglomeration transportation systems. In the criterion level, the state regulations have the greatest effect on the system development with a significant role in promoting the green transportation development in this area while the driving factors have the lowest effect. In the indicator layer, the key factors restricting the green transportation development are the average daily bus passenger volume, the road streetlight coverage, the average number of buses per 10 000 people, the per capita GDP and the per capita park green space area. The research conclusions provide theoretical support for promoting the development of green transportation systems in urban agglomeration, low-carbon transformation of the transportation industry, and the goal of a carbon neutral society.
Key wordsurban agglomeration    green transportation level    measurement index system    driver-pressure-state-impact-response(DPSIR) model    improved set pair analysis with variable fuzzy sets
收稿日期: 2021-10-21      出版日期: 2022-06-16
基金资助:教育部人文社会科学研究青年基金项目(18YJCZH130);陕西省自然科学基金资助项目(2021JZ-20、2020JQ-397、2020JQ-399);西安市2020年度社会科学规划基金重点项目(JG96);长安大学中央高校基本科研业务费专项资金(300102229304)
作者简介: 马壮林(1980—),男,教授。E-mail:zhuanglinma@chd.edu.cn
引用本文:   
马壮林, 高阳, 胡大伟, 王晋, 马飞, 熊英. 城市群绿色交通水平测度与时空演化特征实证研究[J]. 清华大学学报(自然科学版), 2022, 62(7): 1236-1250.
MA Zhuanglin, GAO Yang, HU Da-wei, WANG Jin, MA Fei, XIONG Ying. Green transportation level measurements and spatial-temporal evolution characteristics of urban agglomeration transportation systems. Journal of Tsinghua University(Science and Technology), 2022, 62(7): 1236-1250.
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http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.26.010  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I7/1236
  
  
  
  
  
  
  
  
  
  
  
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