信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2025, Vol. 51 ›› Issue (8): 91-96.doi: 10.12267/j.issn.2096-5931.2025.08.013

专题:人工智能+ 上一篇    

大模型赋能智慧城市建设的路径与策略研究

Research on the paths and strategies of empowering smart city construction with large language models

魏天呈, 郭真, 杨云龙   

  1. 中国联合网络通信有限公司智能城市研究院,北京 100080
  • 收稿日期:2025-06-18 出版日期:2025-08-25 发布日期:2025-09-02
  • 作者简介:
    魏天呈,中国联合网络通信有限公司智能城市研究院数字经济咨询中心咨询顾问、工程师,主要从事数字政府、数字社会、数字经济的咨询规划工作
    郭真,中国联合网络通信有限公司智能城市研究院数字化能力中心副主任、高级工程师,ITU-T副报告人,主要从事智慧城市顶层设计、规划咨询、标准化研究及技术创新等工作
    杨云龙,中国联合网络通信有限公司智能城市研究院数字经济咨询中心主任、高级工程师,主要从事云计算、大数据解决方案的设计及应用工作

WEI Tiancheng, GUO Zhen, YANG Yunlong   

  1. Smart City Research Institute of China Unicom Co., Ltd., Beijing 100080, China
  • Received:2025-06-18 Online:2025-08-25 Published:2025-09-02

摘要:

近年来,人工智能技术特别是大模型(Large Language Models, LLMs)的突破性进展,正深刻重塑全球产业格局和社会治理模式。作为新一轮科技革命和产业变革的核心驱动力,大模型凭借其强大的通用理解、生成、推理和交互能力,为智慧城市构建开辟了全新路径。通过解析大模型与智慧城市的深度融合机制,重点探讨大模型对城市治理体系现代化、公共服务智能化、产业经济高效化的赋能作用,分析其关键驱动因素如算法创新、算力支撑、数据要素流通及政策环境,旨在为城市管理者和政策制定者提供前瞻性参考和实践指引。

关键词: 大模型, 智慧城市, 数据要素, 城市治理

Abstract:

In recent years, the breakthroughs in artificial intelligence technology, particularly in large language models (LLMs), have been profoundly reshaping the global industrial landscape and social governance models. As a core driver of the new technological revolution and industrial transformation, large language models, with their powerful capabilities in general understanding, generation, reasoning, and interaction, have opened up new avenues for the development of smart cities. By analyzing the deep integration mechanism between large language models and smart cities, this study focuses on how large language models can empower the modernization of urban governance systems, the intelligence of public services, and the efficiency of industrial economies. It also examines key driving factors such as algorithm innovation, computational power support, data element circulation, and policy environment, aiming to provide forward-looking references and practical guidance for urban managers and policymakers.

Key words: large language models (LLMs), smart cities, data elements, urban governance

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