中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2024, Vol. 43 ›› Issue (10): 47-53.DOI: 10.3969/j.issn.1674-0696.2024.10.06

• 交通+大数据人工智能 • 上一篇    

基于云模型和TOPSIS模型的区域综合交通发展水平评价

蒋柳鹏,翁艳君,雷智鹢   

  1. (河海大学 港口海岸与近海工程学院,江苏 南京 210098)
  • 收稿日期:2024-03-13 修回日期:2024-05-11 发布日期:2024-10-28
  • 作者简介:蒋柳鹏(1984—),男,江苏泰州人,副研究员,博士,主要从事综合交通规划与管理方面的研究。E-mail:jsjlp@hhu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2021YFB2600203);中央高校基本科研业务费项目(B210202030)

Evaluation of Regional Integrated Transport Development Level Based on Cloud Model and TOPSIS Model

JIANG Liupeng, WENG Yanjun, LEI Zhiyi   

  1. (College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, Jiangsu, China)
  • Received:2024-03-13 Revised:2024-05-11 Published:2024-10-28

摘要: 综合交通发展水平对区域经济具有重要的支撑作用,为准确评估区域的综合交通发展水平,综合考虑各影响因素构建了包含4项二级指标与30项三级指标的3层评价指标体系,为了降低主观性影响,基于云模型改进层次分析法计算评价指标权重,并结合TOPSIS评价模型计算评价对象各指标与最优指标之间的距离,得出各评价对象综合交通发展水平的优劣排序。以中国长三角地区为案例,通过该模型对其综合交通发展水平进行评价,结果表明:长三角地区中,江苏省综合交通发展水平较高排名第1位;上海市评分略高于浙江省排名第2位;浙江省评分较低排名第3位;安徽省排名最低。长三角应根据各指标计算结果及得分情况,结合各省市自身实际补齐交通短板,实现高质量交通一体化。

关键词: 交通运输工程;综合交通;云模型;TOPSIS模型;评价指标体系;长三角地区

Abstract: The level of integrated transport development has an important supporting role for the regional economy. In order to accurately assess the level of integrated transport development of a region, a three-tier evaluation index system containing 4 secondary indicators and 30 tertiary indicators was constructed by taking into account various influencing factors. And in order to reduce subjective influence, the cloud model was used to improve the analytic hierarchy process method to calculate the weights of evaluation indicators, and the TOPSIS evaluation model was combined to calculate the distance between each indicator of the evaluation object and the optimal indicator, in order to obtain the ranking of the integrated transport development level of each evaluation object. Taking the Yangtze River Delta (YRD) region of China as a case study, its integrated transport development level was evaluated by the proposed model. The results show that: in the YRD region, Jiangsu Province ranks first in terms of its high level of integrated transport development, Shanghai ranks second slightly higher than Zhejiang Province, Zhejiang Province ranks third with a lower score, and Anhui Province ranks the lowest. According to the calculation results and scores of various indicators, the Yangtze River Delta should combine with the actual situation of each province and city to make up for the shortcomings of the transport to achieve high-quality transport integration.

Key words: traffic and transportation engineering; integrated transport; cloud model; TOPSIS model; evaluation indicator system; Yangtze River Delta region

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