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

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

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.

Suggested Citation

  • Bai, Yuntian & Wang, Jie & Su, Jingcheng & Zhou, Qingyi & He, Shijian, 2025. "Assessment of urban rail transit development using DPSIR-Entropy-TOPSIS and obstacle degree analysis: A case study of 27 Chinese cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 663(C).
    • Handle: RePEc:eee:phsmap:v:663:y:2025:i:c:s0378437125000913
    DOI: 10.1016/j.physa.2025.130439
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    as
    1. Andrea Boitani & Marcella Nicolini & Carlo Scarpa, 2013. "Do competition and ownership matter? Evidence from local public transport in Europe," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1419-1434, April.
    2. Ma, Zhiao & Yang, Xin & Wu, Jianjun & Chen, Anthony & Wei, Yun & Gao, Ziyou, 2022. "Measuring the resilience of an urban rail transit network: A multi-dimensional evaluation model," Transport Policy, Elsevier, vol. 129(C), pages 38-50.
    3. Li, Guicai & Luan, Xiaofan & Yang, Jiawen & Lin, Xiongbin, 2013. "Value capture beyond municipalities: transit-oriented development and inter-city passenger rail investment in China’s Pearl River Delta," Journal of Transport Geography, Elsevier, vol. 33(C), pages 268-277.
    4. Aydin, Nezir, 2017. "A fuzzy-based multi-dimensional and multi-period service quality evaluation outline for rail transit systems," Transport Policy, Elsevier, vol. 55(C), pages 87-98.
    5. Yu Sun & Yin Cui, 2018. "Analyzing the Coupling Coordination among Economic, Social, and Environmental Benefits of Urban Infrastructure: Case Study of Four Chinese Autonomous Municipalities," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, July.
    6. Xu, Tao & Zhang, Ming & Aditjandra, Paulus T., 2016. "The impact of urban rail transit on commercial property value: New evidence from Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 223-235.
    7. Awasthi, Anjali & Omrani, Hichem & Gerber, Philippe, 2018. "Investigating ideal-solution based multicriteria decision making techniques for sustainability evaluation of urban mobility projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 247-259.
    8. Wen, Ting & Qi, Sinan & Qian, Yue, 2024. "Index measurement and analysis on spatial-temporal evolution of China's new economy based on the DPSIR model," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 252-264.
    9. Lee, Jae Kwang, 2022. "New rail transit projects and land values: The difference in the impact of rail transit investment on different land types, values and locations," Land Use Policy, Elsevier, vol. 112(C).
    10. Aydin, Nezir & Celik, Erkan & Gumus, Alev Taskin, 2015. "A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 61-81.
    11. Linda E. Karjalainen & Sirkku Juhola, 2019. "Framework for Assessing Public Transportation Sustainability in Planning and Policy-Making," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    12. Qin, Feifei & Zhang, Xiaoning & Zhou, Qiang, 2014. "Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 89-99.
    13. Ahmad Alkharabsheh & Sarbast Moslem & Laila Oubahman & Szabolcs Duleba, 2021. "An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    14. Elisabetta Ottoz & Graziella Fornengo & Marina Di Giacomo, 2009. "The impact of ownership on the cost of bus service provision: an example from Italy," Applied Economics, Taylor & Francis Journals, vol. 41(3), pages 337-349.
    15. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    16. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
    17. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
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