Assessment of urban rail transit development using DPSIR-Entropy-TOPSIS and obstacle degree analysis: A case study of 27 Chinese cities

IF 3.1 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-04-01 Epub Date: 2025-02-14 DOI:10.1016/j.physa.2025.130439

Yuntian Bai , Jie Wang , Jingcheng Su , Qingyi Zhou , Shijian He

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Abstract

Urban rail transit plays a significant role in promoting urban sustainable development. Conducting a comprehensive evaluation of urban rail transit is crucial for the future development of urban rail transit systems. This study focuses on the various factors influencing the development of urban rail transit. Based on the Driving force-Pressure-State-Impact-Response (DPSIR) model, an evaluation framework comprising 19 indicators was established. The logical relationships and directions of influence among these indicators were verified using the Structural Equation model (SEM). Then, the contribution rates of each indicator to the development of urban rail transit were calculated using the Entropy Weighted TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) model. Finally, the obstacles degree model was employed to uncover the facilitators and obstacles in the development of urban rail transit. The results showed that: (1) In China, cities such as Beijing, Shanghai, Guangzhou, and Shenzhen exhibit notably advanced development in urban rail transit compared to other cities. (2) The DPSIR-Entropy-TOPSIS model identifies four distinct modes of rail transit development, each associated with specific influencing factors. (3) Through obstacle degree diagnostics, the analysis reveals the following ranking of obstructive impacts for indicators: social factors > urban rail operational factors > economic factors > infrastructure factors > investment factors > citizen experience factors > other factors. Notably, the obstructive effects of economic, social, and investment factors have shown annual increases. Our findings offer policy recommendations for decision-makers from three key perspectives: improving subsidy and management efficiency, enhancing the quality of urban rail transit for public benefit, and maximizing the economic benefits derived from urban rail transit.

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基于dpsir -熵- topsis和障碍度分析的城市轨道交通发展评价——以中国27个城市为例

城市轨道交通对促进城市可持续发展具有重要作用。对城市轨道交通系统进行综合评价对城市轨道交通系统的未来发展至关重要。本文主要研究影响城市轨道交通发展的各种因素。基于驱动力-压力-状态-影响-响应（DPSIR）模型，建立了包含19个指标的评价框架。利用结构方程模型（SEM）验证了各指标之间的逻辑关系和影响方向。然后，利用熵加权TOPSIS （Order Preference Technique for Similarity to an Ideal Solution）模型计算各指标对城市轨道交通发展的贡献率。最后，运用阻碍度模型揭示城市轨道交通发展的促进因素和阻碍因素。结果表明：①北京、上海、广州、深圳等城市的轨道交通发展水平明显高于其他城市；(2) dpsir -熵- topsis模型确定了四种不同的轨道交通发展模式，每种模式都与特定的影响因素相关。(3)通过障碍度诊断，分析得出各指标的阻碍影响排序如下：社会因素>；城市轨道运营因素>；经济因素；基础设施因素；投资因素>；市民体验因素>；其他因素。值得注意的是，经济、社会和投资因素的阻碍作用逐年增加。研究结果从提高补贴和管理效率、提升城市轨道交通公共效益质量和实现城市轨道交通经济效益最大化三个关键视角为决策者提供政策建议。

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来源期刊

Physica A: Statistical Mechanics and its Applications 物理-物理：综合

CiteScore

7.20

自引率

9.10%

发文量

852

审稿时长

6.6 months

期刊介绍： Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.