Social Benefit Evaluation of Transportation Policy Based on Social Media
Xin Wang, Xingqiang Zhang, Xingqiang Zhang, Yonggang Song, Zhu Shan, Xueyuan Wang, Xueyuan Wang · 2017
Social Media data can truly reflect hot spot and attitude of people to transport policy.The scientific social media data mining and processing method can excavate effectively the public's focus to transportation policy and provide a new transportation policy evaluation way.Firstly, the evaluation index system of transportation policy including its social benefit is established.Secondly, a Social Media Chinese text data mining scheme is presented, using Python and the information processing technology of Chinese synonym, fuzzy clustering weight of text data based on fuzzy clustering method.Then a social benefit evaluation index calibration method of transportation policy is presented.Finally, social benefit of Beijing public transportation pricing policy is evaluated, the public's attention is transport comfort.