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作 者:高郦梅 GAO Limei(Civil,Commercial and Economic Law School,China University of Political Science and Law,Beijing 100091,China)
机构地区:[1]中国政法大学民商经济法学院,北京100091
出 处:《湖南大学学报(社会科学版)》2025年第1期133-140,共8页Journal of Hunan University(Social Sciences)
摘 要:根据智能网联汽车数据的生产和应用特征,可从劳动、效率和正义三个层次构筑其理论框架,进而得出智能网联汽车数据财产权益配置原则上应以汽车制造商为中心,同时兼顾汽车用户、独立服务提供商、公共管理部门等利益相关方的正当诉求。正当诉求的情形包括汽车用户可以通过可携带权或合理使用路径使用数据,独立服务提供商基于契约安排、数据稀缺性等取得对智能网联汽车数据的使用权,公共管理部门有权基于路况监测、事故预防和控制、优化道路安全等特定目的,从汽车制造商处获取智能网联汽车数据。According to the characteristics of production and application of intelligently connected vehicles data,its theoretical framework can be constructed at the three levels of labor,efficiency and justice,which leads to the conclusion that the property rights and interests in intelligently connected vehicles data should,in principle,be configured and realized around the car manufacturers,and at the same time should take into account the legitimate demands of car users,independent service providers and public administrations.Circumstances of legitimate demands include car users being able to access and use the data through the right of portability or the reasonable use path,independent service providers obtaining the right to use the intelligently connected vehicles data based on contractual arrangements,scarcity of data,etc.,and public administrations having the right to access the data of intelligently connected vehicles in their possession from car manufacturers based on specific purposes such as road condition monitoring,accident prevention and control,and optimization of road safety.
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