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Research on the Resilience Diagnosis of the Smart Transportation Industry Chain from Digital Perspective
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Ying YANG1, Likai SHI1, Dazhi CHEN1, Fan TANG2
Science Technology and Industry | 2025, 25(15) : 183 - 189
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Science Technology and Industry | 2025, 25(15): 183-189
• Industrial Developmen •
Research on the Resilience Diagnosis of the Smart Transportation Industry Chain from Digital Perspective
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Ying YANG1, Likai SHI1, Dazhi CHEN1, Fan TANG2
Affiliations
  • 1 Department of Electronic Engineering, Jiangsu Vocational College of Electronics and Information, Huai'an 223001, Jiangsu, China
  • 2 The Office of the Huaian Municipal Committee of the Communist Party of China, Huai'an 223001, Jiangsu, China
Published: 2025-08-10
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In recent years, the rapid development of digital new quality productivity has given rise to the smart transportation industry chain. Taking the resilience of the smart transportation industry chain as the research object, its resilience connotation and influencing factors were defined. The OSM(objective-strategy-measurement) model was employed to construct a diagnostic index system for industry chain resilience from three dimensions: resistance, transformation, and recovery capabilities. “G1+CRITIC”(order relation+CRITeria importance through intercriteria correlation) information entropy diagnostic model was proposed for diagnosing industry chain resilience. Data from 2015 to 2024 of Jiangsu Province was selected for empirical analysis. The results indicate that the level of resilience in the smart transportation industry chain mainly depends on the recovery capability of the industry chain. The diagnostic model can effectively evaluate the resilience level of the industry chain and identify weaknesses. Based on the diagnostic results, precise measures to solidify and strengthen the industry chain can be proposed.

smart transportation  /  industry chain resilience  /  OSM(objective-strategy-measurement) model  /  G1 (order relation) method  /  CRITIC (CRITeria importance through intercriteria correlation) method  /  information entropy
Ying YANG, Likai SHI, Dazhi CHEN, Fan TANG. Research on the Resilience Diagnosis of the Smart Transportation Industry Chain from Digital Perspective[J]. Science Technology and Industry, 2025 , 25 (15) : 183 -189 .
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Year 2025 volume 25 Issue 15
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  • Receive Date：2025-02-07
  • Online Date：2025-09-18
  • Published：2025-08-10
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  • Received：2025-02-07
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Affiliations
    1 Department of Electronic Engineering, Jiangsu Vocational College of Electronics and Information, Huai'an 223001, Jiangsu, China
    2 The Office of the Huaian Municipal Committee of the Communist Party of China, Huai'an 223001, Jiangsu, China
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红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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