基于AHP-DEA模型的校园慢行交通评估方法
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摘要
为了改善校园慢行交通环境,从行人因素、车辆因素、道路因素、环境因素4个评价维度建立评价指标。并应用德尔菲法(Delphi Method)对4个二级评价维度下的23个三级评价指标进行敏感度分析,构建校园友好型慢行交通评估指标体系。通过实际调查分析和专家打分等方法将评价指标标准化,运用AHP-DEA模型构造判断矩阵,进行综合排序。最后以宁波北高校园区中的4所大学为例,运用所选取的指标对该方法进行验证。研究结果表明:选取的校园友好型慢行交通评估指标体系架构简单、意义清晰,精确性和模糊性的值易于获取,具有较强的实用性;将AHP和DEA相结合,运用DEA构造判断矩阵,能够有效规避专家打分等方式的主观因素,提高权重系数的精度,综合反映各评价指标的重要性和各高校的实际情况,该方法可为校园友好型慢行交通的实施提供理论指导。
In order to improve the slow traffic environment of the campus, the evaluation index was established from the four evaluation dimensions of pedestrian factors, vehicle factors, road factors and environmental factors. And the Delphi method is used to analyze the sensitivity of the three evaluation indexes of the three levels of the two evaluation indexes, and construct the campus-friendly slow traffic assessment index system. The AHP-DEA model is used to construct the judgment matrix by means of actual investigation and analysis and expert scoring. Finally, taking the four universities in Ningbo North University as an example, this method is validated by using the selected indicators. The results show that the selected campus-friendly Slow Traffic Assessment Index System is simple, meaningful, accurate and fuzzy, and it has a strong practicality. Combining AHP and DEA, using DEA structure judgment Matrix, effectively avoid the subjective factors such as expert scoring and so on, improve the accuracy of the weight coefficient, can comprehensively reflect the importance of the evaluation indicators and the actual situation of colleges and universities in order to provide a theoretical guidance for the implementation of campus-friendly slow traffic..
In order to improve the slow traffic environment of the campus, the evaluation index was established from the four evaluation dimensions of pedestrian factors, vehicle factors, road factors and environmental factors. And the Delphi method is used to analyze the sensitivity of the three evaluation indexes of the three levels of the two evaluation indexes, and construct the campus-friendly slow traffic assessment index system. The AHP-DEA model is used to construct the judgment matrix by means of actual investigation and analysis and expert scoring. Finally, taking the four universities in Ningbo North University as an example, this method is validated by using the selected indicators. The results show that the selected campus-friendly Slow Traffic Assessment Index System is simple, meaningful, accurate and fuzzy, and it has a strong practicality. Combining AHP and DEA, using DEA structure judgment Matrix, effectively avoid the subjective factors such as expert scoring and so on, improve the accuracy of the weight coefficient, can comprehensively reflect the importance of the evaluation indicators and the actual situation of colleges and universities in order to provide a theoretical guidance for the implementation of campus-friendly slow traffic..
引文
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