Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Provincial Multi-Level Residential Vacancy Rate Measurement using Micro-Power Data- Evidence from Central H Province

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346429,
        author={Ting  Zeng and Jiazhu  Xu and Yuqing  Yang},
        title={Provincial Multi-Level Residential Vacancy Rate Measurement using Micro-Power Data- Evidence from Central H Province},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={vacancy rate; power consumption data; commercial residential buildings; urban and rural area},
        doi={10.4108/eai.15-3-2024.2346429}
    }
    
  • Ting Zeng
    Jiazhu Xu
    Yuqing Yang
    Year: 2024
    Provincial Multi-Level Residential Vacancy Rate Measurement using Micro-Power Data- Evidence from Central H Province
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346429
Ting Zeng1, Jiazhu Xu2,*, Yuqing Yang2
  • 1: Changsha Planning&Design Survey Research Institue
  • 2: College of Electrical and Information Engineering Hunan University
*Contact email: xjz@hnu.edu.cn

Abstract

This paper introduces the characteristics of micro-user electric big data with high credibility, wide coverage and strong timeliness, and constructs a method for measuring the residential vacancy rate of provincial residents based on the general theoretical definition of residential vacancy rate. By splitting the spatiotemporal dimensions, the annual vacancy rate of existing commercial residential buildings and the monthly vacancy rate of existing urban and rural housing are measured. And the measurement indicators cover different dimensions such as prefectures, cities, towns villages, and residential lots, which can accurately characterize the overall and structural characteristics of the supply and demand situation of the provincial stock residential market.