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Spatio−temporal evolution and policy implications of transportation safety development efficiency in China
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Jian CHAN1, Qi LI1, Zhengzhong XU2, *
Science & Technology Review | 2025, 43(19) : 129 - 132
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Science & Technology Review | 2025, 43(19): 129-132
• Policy Forum •
Spatio−temporal evolution and policy implications of transportation safety development efficiency in China
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Jian CHAN1, Qi LI1, Zhengzhong XU2, *
Affiliations
  • 1. National Academy of Innovation Strategy, Beijing 100038, China
  • 2. Economics Teaching and Research Department of the Central Party School (National School of Administration), Beijing 100091, China
Published: 2025-10-13 doi: 10.3981/j.issn.1000-7857.2024.06.00649
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To scientifically assess the effectiveness of safety development in China's transportation sector, this study employs the SBM model and the GTWR model to evaluate the transport safety development efficiency across 30 provinces in China from 2005 to 2017. The results reveal a steady increase in overall efficiency, but with pronounced regional disparities, exhibiting a spatial pattern of "higher in the east and lower in the west." The evolution of efficiency also demonstrates significant spatial clustering and a "club convergence" effect. Factors such as road density and per capita vehicle ownership contribute positively to efficiency improvement, whereas education level, income, and industrial structure exert a negative influence in most regions. These findings indicate that improvements in traffic safety do not automatically accompany socioeconomic development. Accordingly, this study recommends advancing intelligent governance systems, establishing regional coordination mechanisms, and fostering public participation to enhance the overall effectiveness of traffic safety governance.

transportation  /  safety development efficiency  /  spatio−temporal evolution  /  spatial Markov chains
Jian CHAN, Qi LI, Zhengzhong XU. Spatio−temporal evolution and policy implications of transportation safety development efficiency in China[J]. Science & Technology Review, 2025 , 43 (19) : 129 -132 . DOI: 10.3981/j.issn.1000-7857.2024.06.00649
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Article Info
doi: 10.3981/j.issn.1000-7857.2024.06.00649
  • Receive Date：2024-06-05
  • Online Date：2025-12-18
  • Published：2025-10-13
Article Data
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History
  • Received：2024-06-05
  • Revised：2025-07-31
  • Accepted：2025-09-26
Funding
Affiliations
    1. National Academy of Innovation Strategy, Beijing 100038, China
    2. Economics Teaching and Research Department of the Central Party School (National School of Administration), Beijing 100091, China
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