首页|基于多源数据的区域干线公路网综合效益评价研究

基于多源数据的区域干线公路网综合效益评价研究

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公路网效益评价是公路网规划的重要内容,能够有效对公路网布局的合理性进行分析,评价其与社会、经济发展的适应性和协调性。考虑新型空间格局的发展要求,从路网运行效益、经济效益、社会效益和环境效益等4个方面建立路网综合效益评价指标体系;基于路网基础数据、社会经济数据、交通量数据等多源数据,借助TransCAD与ArcGIS工具对指标进行量化测算,运用数据包络分析法(DEA)对不同区域干线公路网综合效益进行超效率分析;采用陕西省干线公路网作为实例进行验证。结果表明:DEA方法适用于对不同城市的路网综合效益进行超效率分析,西安、渭南、铜川、延安、榆林的效率值最大,宝鸡的效率值最小。研究结果可为区域公路交通网络规划提供理论依据。
Research on Comprehensive Benefit Evaluation of Regional Trunk Highway Network Based on Multi-source Data
Highway network benefit evaluation is an important content of highway network planning,which can effectively analyze the rationality of highway network layout and evaluate its adaptability and coordination with social and economic development.Considering the development requirements of the new spatial pattern,in this paper a comprehensive benefit evaluation index system is established for the road network from four aspects:operational,economic,social,and environmental.Based on multi-source data such as road network basic data,socio-economic data,and traffic volume data,the indicators are quantitatively calculated using TransCAD and ArcGIS tools,and the data envelopment analysis(DEA)method is used to analyze the comprehensive benefits of trunk highway networks in different regions with super efficiency.The trunk highway network in Shaanxi Province is used as an example for verification.The results show that the DEA method is suitable for super-efficiency analysis of the comprehensive benefits of road networks in different cities,and Xi'an,Weinan,Tongchuan,Yan'an,and Yulin have the highest efficiency values,while Baoji has the lowest efficiency values.The research results can provide theoretical basis for regional highway traffic network planning.

transport planninghighway networkcomprehensive benefit evaluationdata envelopment analysismulti-source data

马书红、尚金金、李頔、王圆圆、屈慷慨、邵恒

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长安大学运输工程学院 西安市 710064

陕西省交通规划设计研究院 西安市 710065

交通规划 公路网 综合效益评价 数据包络分析法 多源数据

陕西省交通运输厅科技项目

21-13R

2024

公路
中国交通建设集团有限公司

公路

CSTPCD北大核心
影响因子:0.54
ISSN:0451-0712
年,卷(期):2024.69(1)
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