主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
Automobile Applied Technology

Automobile Applied Technology ›› 2025, Vol. 50 ›› Issue (7): 30-34.DOI: 10.16638/j.cnki.1671-7988.2025.007.006

• Intelligent Connected Vehicle • Previous Articles    

The Industry Screening System and Empirical Research of Intelligent Connected Vehicle －Taking District P of S City as an Example

CHE Yiping, XUE Kai* , LIU Sicheng   

  1. China Automotive Engineering Research Institute Company Limited
  • Published:2025-04-14
  • Contact: XUE Kai

智能网联汽车产业筛选体系和实证研究 ——以 S 市 P 地区为例

车一平，薛凯*，刘思呈   

  1. 中国汽车工程研究院股份有限公司
  • 通讯作者: 薛凯
  • 作者简介:车一平（1996－），女，硕士，工程师，研究方向为智能网联汽车政策、产业、技术通信作者：薛凯（1987－），男，硕士，研究方向为汽车产业发展、产业数字经济

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Abstract: With the continuous maturity of the intelligent connected vehicle (ICV) market and technological breakthroughs. It has become a key task for local government to screen out ICV segments field that are suitable for regional key development based on industry trends and local characteristics. The paper focuses on 38 segments of ICV, draws on the classic method theories of multiple industries screening, constructs a set of ICV screening system according to the Porter's five forces model, and ultimately screens 15 segments industries suitable for the development of the local government for ICV industry in district P of S city, which helps the flourishing development of the ICV industry in district P of S city.

Key words: ICV; industry screening; local government; evaluation index

摘要： 随着智能网联汽车（ICV）市场的不断成熟和技术的不断突破，根据行业趋势和地方特 色，筛选出适合区域重点发展的 ICV 细分领域成为地方政府的重点任务。文章聚焦 ICV 38 个细分领域，借鉴多个产业筛选经典方法理论，构建了一套基于波特五力模型的 ICV 筛选体 系，针对 S 市 P 地区 ICV 产业进行了筛选，最终为当地政府筛选出 15 个适合其发展的细分 产业，助力 S 市 P 地区 ICV 产业蓬勃发展。

关键词: ICV；产业筛选；地方政府；评价指标