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Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method

Author

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  • Liang Zhang

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
    Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, China)

  • Xubing Zhang

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
    Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, China)

  • Shenggu Yuan

    (China Transport Telecommunications and Information Center, Beijing 100011, China)

  • Kai Wang

    (Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, China
    School of Geophysics and Spatial Information, China University of Geosciences, Wuhan 430074, China)

Abstract

In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to 2017 are analyzed from the temporal and spatial dimensions. The research shows that: (1) From 2013 to 2017, the economic impact degree of traffic network shows an annual fluctuation trend, the social impact degree increases year by year, and the ecological impact degree decreases year by year; (2) For the cities of BTH, the ESE impact assessment results of transportation network from 2013 to 2017 can be divided into seven clusters. Except Handan City, the ESE impact assessment categories of other cities’ transportation network have been improved, but the proportion of cities in the transition period is still large, especially the “Low-Low-Low” cities. The types of cities in the transitional period need to be focused. It is still a heavy burden to realize the ESE coordination and sustainable development of BTH urban agglomeration transportation network.

Suggested Citation

  • Liang Zhang & Xubing Zhang & Shenggu Yuan & Kai Wang, 2021. "Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1862-:d:496034
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    References listed on IDEAS

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    2. Ziyang Wang & Peiji Shi & Xuebin Zhang & Huali Tong & Weiping Zhang & Yue Liu, 2021. "Research on Landscape Pattern Construction and Ecological Restoration of Jiuquan City Based on Ecological Security Evaluation," Sustainability, MDPI, vol. 13(10), pages 1-20, May.

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