Spatial Distribution Characteristics of Residents’ Emotions Based on Sina Weibo Big Data: A Case Study of Nanjing

Abstract

Many urban planning approaches have emphasized the need to be people oriented. With the fast development of cities, more attention should be given to the perception and spatial experiences of the residents. Following urban planning theories and studies on environmental quality, infrastructure allocation, and planning, research on residents' emotions has drawn increasing research attention. Nanjing City of China, is used as an example for applying Sina Weibo big data, a new type of data, to extract real-time emotions and their corresponding geo-locations of residents. This study uses ArcGIS software to analyze the spatial distribution characteristics of residents' emotions in the overall city and in different types of places of Nanjing. Grid statistics are used to provide evidence to optimize urban space development.