秘书 ›› 2025, Vol. 43 ›› Issue (4): 34-47.

• 公共管理 • 上一篇    下一篇

中国城市智慧交通政策评价与优化路径研究——基于政策建模一致性指数模型的分析

谢昕莹   

  1. 复旦大学
  • 出版日期:2025-07-25 发布日期:2025-07-21
  • 作者简介:谢昕莹,复旦大学国际关系与公共事务学院博士研究生。研究方向:城市治理、数字治理、公共政策分析。

Research on Policy Evaluation and Optimization Path of Urban Smart Transportation in China—An Analysis Based on PMC Index Model

XIE Xinying   

  • Online:2025-07-25 Published:2025-07-21

摘要:

在全球科技革命与产业变革持续深化的时代背景下,智慧交通作为新一代信息技术与交通行业深度融合的新业态,对推动城市全域数智化转型、满足人民美好生活需要具有关键作用。本文运用文本分析法对2012—2024 年发布的55 份城市智慧交通政策文本开展量化评价,构建中国城市智慧交通政策建模一致性指数模型,并提出针对性的政策建议。研究结果表明:中国城市智慧交通政策在政策性质、政策内容、政策评价、政策公开等方面较完善,但仍存在中长期政策较少、对环境领域关注不足、对社会组织关注度低、需求型政策工具使用较少、政策视角较为单一、部分政策的激励措施不够全面等问题。未来在城市智慧交通政策设计中应拓宽政策视角,制定长远规划,加大对环境领域和社会组织的支持力度,强化需求型政策工具的使用,设计多层次、差异化的激励体系,以进一步完善我国城市智慧交通政策体系,助力智慧交通、智慧城市的可持续发展。

关键词: 智慧交通政策, PMC指数模型, 量化评价, 优化路径

Abstract:

In the context of the continuous deepening of the global scientific and technological revolution and industrial transformation,smart transportation,as a new business formed by the deep integration of the new generation of information technology and the transportation industry,plays a key role in promoting digital transformation of the city and meeting the needs of the people for a better life. In this paper,textual analysis is used to conduct quantitative evaluation on 55 relative policies from 2012 to 2024,and construct the PMC index model of urban smart transportation policies in China,and finally put forward targeted policy recommendations. Research results show that China’s urban smart transportation policies are relatively sound in terms of policy nature,policy content,policy evaluation and policy disclosure,but there are still some problems,such as insufficient medium and long-term policies,the lack of attention to the environmental field and social organizations,underused demand-side policy instruments,relatively single policy perspective,and incomplete incentive measures. In the future design of urban smart transportation policy,it is necessary to broaden the policy perspective,formulate long-term plans,give more attention and support to the environmental field and social organizations,strengthen the use of demand-side policy instruments,and design a multi-level and differentiated incentive system to further improve China’s urban smart transportation policy system and promote the sustainable development of smart transportation and smart cities.

Key words: smart transportation policy, PMC index model, quantitative evaluation, optimization path