International Open Access Journal Platform

交通大数据在未成年人严重不良行为预防及分级干预中的积极应用讨论

Research on the Identification and Hierarchical Intervention Mechanism for Serious Misconduct among Minors based on Traffic Big Data

Progress in Social Sciences / 2025,7(8): 635-639 / 2025-08-21 17 8

View Download PDF

• Authors: 王成成 任孙子涵 冒蓓蓓
• Information:

  江苏警官学院，南京

• Keywords:
  Traffic big data; Serious bad behavior of minors; Grading intervention
  交通大数据; 未成年人严重不良行为; 分级干预
• Abstract: With the increasingly prominent problem of serious bad behavior of minors, the traditional identification and intervention mechanism has exposed the problems of poor identification accuracy and low data utilization efficiency. This research is carried out with the help of traffic big data. This paper first analyzes the current situation, reveals the shortcomings, then makes attribution analysis, and finally puts forward suggestions. According to the latest legal authority of public security on the protection of minors, such as the Law on the Prevention of Juvenile Delinquency, the identification technology framework guided by traffic big data is constructed, and the three-level intervention measures of ' primary, intermediate and advanced ' are designed. This paper proposes a solution driven by traffic big data for the police to prevent and classify the serious misconduct of minors, and helps the police to better perform the statutory functions of protecting the rights and interests of minors. 随着未成年人严重不良行为问题日益突出，传统的识别与干预机制暴露出识别精度差、数据利用效率低等问题，此项研究借助交通大数据展开，首先分析现状，揭示不足，再进行归因分析，最后提出建议：依据《预防未成年人犯罪法》等公安最新未成年人保护法定权限，构建以交通大数据为引导的识别技术框架，设计出“初级、中级、高级”三级干预措施。本文为警方就未成年人严重不良行为预防与分级处置提出以交通大数据来驱动的解决办法，助力警方更完善地履行保护未成年人权益的法定职能。
• DOI: https://doi.org/10.35534/pss.0708107
• Cite: 王成成，任孙子涵，冒蓓蓓．交通大数据在未成年人严重不良行为预防及分级干预中的积极应用讨论［J］．社会科学进展，2025，7（8）：635-639.