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