Comparative Study on the Development level of China's Transportation Infrastructure

Abstract
Figure/Table
References (0)
Related Citation (15)

Abstract In order to study the development status of China's transportation infrastructure and regional development differences, better do a good job in transportation development planning, transportation investment and construction, traffic operation and maintenance; The simple and intuitive weighted sum method was used to construct the evaluation model of the development level of transportation infrastructure, and the evaluation index system of the development level was established. The comprehensive weight of the indexes was determined by combining the improved G1 method, the anti-entropy method and the optimal combination method based on the consistency test group decision weighting method. The advantages of the evaluation method constructed in this paper compared with the traditional method, the overall development status of China's transportation infrastructure, the relative development status among regions and the main manifestations of the imbalance are analyzed. The results show that:(1) compared with the entropy method, the anti-entropy weight method can avoid the extreme value; Compared with G1 method, improved G1 method can avoid losing effective information and amplify invalid information. The optimal combination method can synthesize the subjective and objective factors well, making the comprehensive weight more scientific and accurate. (2) The comprehensive index of transportation infrastructure development level in western, central and eastern China showed a steady upward trend, but the regional difference was obvious, showing a spatial distribution pattern of high in the east and low in the west, indicating the unbalanced development among regions. (3) From 2014 to 2018, the average annual growth rate of the development level of transportation infrastructure in eastern China was higher than that in western and central China, indicating that the imbalance among the western, central and eastern regions was still worsening. (4) Through the comprehensive index analysis of the criterion layer, it is found that the imbalance of the development of transportation infrastructure is mainly manifested in the development scale, transportation level and growth potential. The evaluation results are in line with the actual situation and can provide some enlightenment for the planning, investment and construction of China's transportation infrastructure.

Key words： traffic engineering evaluation model optimal combination weighting method transportation infrastructure improve the G1 method

Received: 10 October 2020

Fund:Supported by the National Natural Science Foundation of China (No.72071219), the Humanities and Social Science Cultivation Project of Kunming University of Science and Technology (No.KKZ3202106005)

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI Guo-liang
	WANG Lei
	YANG Xiao-yan
	LI Yu-long
	LIU Yu

Cite this article:

LI Guo-liang,WANG Lei,YANG Xiao-yan, et al. Comparative Study on the Development level of China's Transportation Infrastructure[J]. Journal of Highway and Transportation Research and Development, 2022, 16(1): 59-70.

URL:

http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/ OR http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/Y2022/V16/I1/59

[1] LI Wei. Evaluation of Rail Network and Lines Based on Complex Network Indexes[J]. Urban Rapid Rail Transit, 2013, 26(6):48-51. (in Chinese)
[2] ZHANG Yun-jiao. Research on the Tourism Rail Transit Network Planning in Yuxi City[J]. Journal of Railway Engineering Society, 2019, 36(5):52-58. (in Chinese)
[3] HU Lie-ge, ZENG Ling-yan. Evaluation Indicators of Passenger Transportation Integration Network for Urban Aggolemeration[J]. Journal of Changsha University of Science & Technology:Natural Science Edition, 2008, 5(1):16-20, 43. (in Chinese)
[4] XU Hai-cheng, ZHOU Kai, DU Xue-feng. Comprehensive Evaluation on Development Capability of Regional Highway Traffic Based on Factor Analysis Method[J]. On Economic Problems, 2010(2):121-124. (in Chinese)
[5] HAO Jing-jing, ZHANG Ling, JI Xiao-feng, et al. Multi-dimensional Estimation Method of Spatial Characteristic Parameters of Transportation Infrastructure[J]. Journal of Transportation Systems Engineering & Information Technology, 2018, 18(3):15-21. (in Chinese)
[6] FAN Xiang-xi, ZHOU Zi-chu, MENG Ling-xiao, et al. An Evaluation Method of Operational State of Reconstructed and Expanded Road Network Based on Information Entropy[J]. Journal of Highway & Transportation Research & Development, 2020, 37(4):140-147, 158. (in Chinese)
[7] GUO Yan-yong, LIU Pan, WU Yao, et al. Evaluation Method for Service Level of Urban Rail Transit and Its Application[J]. Journal of Hefei University of Technology:Natural Science Edition, 2017, 40(3):384-389. (in Chinese)
[8] WANG Sheng-Chang, CHEN Juan-juan, TIAN Xiao-xue, et al. Research on Weights of Subjective Evaluation of Automobile Braking Performance Based on AHP[J]. Journal of Highway & Transportation Research & Development, 2015, 32(8):138-142. (in Chinese)
[9] JI Jia-lun, LI Fu-zhi. A Study on the Synthetic Evaluation Index System of Urban Rail Transit Line Network Planning Scheme[J]. Systems Engineering-Theory & Practice, 2004, 24(3):129-133. (in Chinese)
[10] BI Ji-xin, TIAN Lin-ya, ZHANG Yang, et al. Risk Analysis and Control of Shield Subway Tunnel Breakthrough[J]. Urban Rapid Rail Transit, 2019, 32(5):102-108. (in Chinese)
[11] MA Jing, DAI Wei-jia. Evaluating on Traffic Management During Traffic Construction of Urban Rail Based on AHP-Information Entropy[J]. Journal of Chang'an University:Natural Science Edition, 2020, 40(4):101-108. (in Chinese)
[12] WANG Xue-jun, GUO Ya-jun, ZHAO Li-qiang. The Method of Dynamic Constitution Evaluation and Its application in Supplier Selection[J]. Management Review, 2005(12):40-43, 64. (in Chinese)
[13] ZHANG Hai-rui, HAN Dong, LIU Yu-jiao, et al. Smart Grid Evaluation Based on Anti-entropy Weight Method[J]. Power System Protection & Control, 2012, 40(11):24-29. (in Chinese)
[14] MO Yang-hui, ZHANG Pei-lin, XIE Yu-meng. Quantitative Study on Interaction Between New Urbanization and Integrated Transportation Development[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5):13-19. (in Chinese)
[15] GUO Guang-zhen, LIU Rui-guo, HUANG Zong-ye. Cars on the Road:An Economic Growth Model of Road Infrastructure's Effect on Consumption and Economic Growth[J]. Economic Research Journal, 2019, 54(3):166-180. (in Chinese)
[16] SUN Xiang-xiang, ZHOU Xiao-liang. Transportation Infrastructure Investment, Factor Market Distortion and Economic Growth[J]. Journal of Transportation Systems Engineering & Information Technology, 2019, 19(1):13-18. (in Chinese)
[17] ZHANG Jing-bo. Research on the Impact of Transportation Infrastructure Construction on Industrial Structure Transformation[J]. Journal of Yunnan University of Finance & Economics, 2018, 34(11):35-46. (in Chinese)
[18] LI Bin, YOU Li, LI Tuo. Transportation Infrastructure, FDI and the Transfer of Rural Surplus Labor Force[J]. Journal of Capital University of Economics and Busineess, 2019, 21(1):69-77. (in Chinese)
[19] WANG Bin, LI Gang, CAO Yong, et al. Research on the Weighting Method for Group Decision Based on the Weighting of the Indices[J]. Operations Research and Management Science, 2018, 27(11):22-25. (in Chinese)
[20] CHEN Wei, XIA Jian-hua. An Optimal Weights Combination Method Considering both Subjective and Objective Weight Information[J].Mathematics in Practice & Theory, 2007(1):17-22. (in Chinese)