Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing-Tianjin-Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method
Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing-Tianjin-Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method
复制标题
基于熵权TOPSIS法的京津冀城市群交通网络经济、社会和生态影响评价
DOI：
10.3390/su13041862
复制
发表时间：
2021-02-01
期刊：
影响因子：
3.9
通讯作者：
Wang, Kai
中科院分区：
文献类型：
--
作者：
Zhang, Liang;Zhang, Xubing;Wang, Kai
近年来，随着我国城市交通网络的快速发展，也暴露出许多问题，尤其是在京津冀地区。在可持续发展的号召下，评价BTH城市群交通网络的经济、社会和生态影响，对于促进BTH城市群交通生态环境的可持续发展具有重要意义。本文选取交通领域的12个指标，构建了BTH城市群交通网络环境经济效应评价指标体系。利用熵权TOPSIS（Technique for Order Preference by Similarity to Ideal Solution）模型和詹克斯自然间断分类方法，从时空维度分析了2013 - 2017年北京市13个城市交通网络环境安全影响。研究表明：（1）2013 - 2017年，交通网络经济影响度呈逐年波动趋势，社会影响度逐年上升，生态影响度逐年下降;（2）对于北京市各城市，2013 - 2017年交通网络ESE影响评价结果可分为7个聚类。除邯郸市外，其他城市交通网络的ESE影响评价类别均有所提升，但处于过渡期的城市比例仍然较大，尤其是“低-低-低”城市。转型期的城市类型需要重点关注。实现环渤海城市群交通网络的环境、社会、经济协调和可持续发展仍然是一个沉重的负担。
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.