Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Empirical Analysis of Big Data-Driven Precision Supply of Public Services in Urban and Rural Communities

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345405,
        author={Ting  Zheng},
        title={Empirical Analysis of Big Data-Driven Precision Supply of Public Services in Urban and Rural Communities},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={big data-driven;community public services;precision supply;empirical analysis},
        doi={10.4108/eai.15-12-2023.2345405}
    }
    
  • Ting Zheng
    Year: 2024
    Empirical Analysis of Big Data-Driven Precision Supply of Public Services in Urban and Rural Communities
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345405
Ting Zheng1,*
  • 1: Sichuan University,School of Public Administration
*Contact email: ztbubu@stu.scu.edu.cn

Abstract

With the in-depth development of information technology, the emerging information technology represented by "cloud, big, material, mobile, and intelligence" has begun to lead the current social trend, and is generally integrated with social life. Among them, big data technology, which focuses on the collection, cleaning, analysis and utilization of massive multi-source heterogeneous data, has become a typical representative of emerging information technology. The rare forward-thinking realization path provided by big data technology for the field of public services greatly promotes the structural public service provision, and also extremely obviously strengthens the personification orientation of scenario-based non-structural public service provision. Based on the limited nature of public resources, we are required to face the problems of how to satisfy the mutated and diversified complex demands of community residents, how to lead the creation of community residents' demands, how to utilize the big data technology for the precise configuration and forward-looking supply of public services, and how to provide scenario-based non-structural public services, etc., and the precise supply of public services for urban and rural communities driven by big data has become an important research topic.