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
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.
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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2022, Vol. 62 
