Evaluating University Campus Traffic by Attribute Mathematical Recognition

The high traffic volume in Chinese universities brings issues including accessibility and safety, which requires careful evaluation of campus-traffic with a quantitative and qualitative method. A multilevel index system based on attribute mathematical recognition is proposed. The upper-level includes five indexes, namely efficiency, accessibility, comfort, safety and traffic calming, which are further divided into the lower-level indexes. The indexes' weights are determined by variation coefficient method and the campus traffic level was identified by the confidence rules to avoid unreasonable estimation. A case study of Sun Yat-sen University East Campus is presented, whose travel environment was just passable in 2007 but greatly improved since 2009 after the road reconstruction and traffic regulations suggested by the authors. The evaluation accords with the opinion poll and the method is practical, rational and suitable for comparison.