Zou Linghong, Dai Hongna, Yao Enjian, Jiang Tian, Guo Hongwei
Graduate School of Architecture, Planning and Preservation, Columbia University, 1172 Amsterdam Avenue, New York, NY 10027, USA.
School of Traffic and Transportation, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, China.
Comput Intell Neurosci. 2014;2014:941347. doi: 10.1155/2014/941347. Epub 2014 Nov 4.
In recent years, with the rapid increase in urban population, the urban travel demands in Chinese cities have been increasing dramatically. As a result, developing comprehensive urban transport systems becomes an inevitable choice to meet the growing urban travel demands. In urban transport systems, public transport plays the leading role to promote sustainable urban development. This paper aims to establish an assessment index system for the development level of urban public transport consisting of a target layer, a criterion layer, and an index layer. Review on existing literature shows that methods used in evaluating urban public transport structure are dominantly qualitative. To overcome this shortcoming, fuzzy mathematics method is used for describing qualitative issues quantitatively, and AHP (analytic hierarchy process) is used to quantify expert's subjective judgment. The assessment model is established based on the fuzzy AHP. The weight of each index is determined through the AHP and the degree of membership of each index through the fuzzy assessment method to obtain the fuzzy synthetic assessment matrix. Finally, a case study is conducted to verify the rationality and practicability of the assessment system and the proposed assessment method.
近年来,随着城市人口的快速增长,中国城市的出行需求急剧增加。因此,发展综合城市交通系统成为满足不断增长的城市出行需求的必然选择。在城市交通系统中,公共交通在促进城市可持续发展方面发挥着主导作用。本文旨在建立一个由目标层、准则层和指标层组成的城市公共交通发展水平评估指标体系。对现有文献的综述表明,评估城市公共交通结构的方法主要是定性的。为克服这一缺点,采用模糊数学方法对定性问题进行定量描述,并运用层次分析法(AHP)对专家的主观判断进行量化。基于模糊层次分析法建立评估模型。通过层次分析法确定各指标的权重,通过模糊评估法确定各指标的隶属度,得到模糊综合评估矩阵。最后,通过案例研究验证了评估体系和所提出评估方法的合理性和实用性。