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

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