Research of Public Service Quality Based on Weibo Data Analysis: A Case Study of Public Housing Security Service in Shanghai

doi:10.15936/j.cnki.1008-3758.2021.05.009

Abstract

Abstract: Based on the attributes and characteristics of public service quality， the analytical method of Weibo data is introduced to develop a conceptual overall analysis framework for housing security service quality. It is found that the quality problems in public housing security services have a distinct “core-periphery” structure. The fairness of value dimension and the accountability of process dimension are key elements that affect the quality of housing security services. The “value-process” dimension elements in resettlement housing and economical housing have a more obvious impact on their service quality， but in the low-rent housing and public rental housing services， the “function-result” dimension elements play a more critical role. The quality problems in different spatial regions are also varied to some extents. Therefore， the government should take spatial and room type differences as the starting point， making precise policy and accurate execution the next focus of housing security.

Key words: housing security service quality; public service quality; Weibo data; emotion analysis

CLC Number:

D035

WEI Chengrui， WANG Yu. Research of Public Service Quality Based on Weibo Data Analysis: A Case Study of Public Housing Security Service in Shanghai[J]. Journal of Northeastern University(Social Science), 2021, 23(5): 63-72.

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