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基于微博语义分析的重庆主城区风貌感知评价 被引量:23

Perception and evaluation of cityscape characteristics using semantic analysis on microblog in the main urban area of Chongqing Municipality
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摘要 采用社交网络数据对城市进行感知与评价是一种新的城市感知定量研究方法。本文将新浪微博签到数据作为城市感知的数据来源,通过文本挖掘和语义分析方法,探索用户对重庆主城区城市风貌的感知与评价。针对重庆主城区特色风貌片区,研究形成了签到地图、情绪地图和对象地图。签到地图客观反映重庆主城区新浪微博用户活跃程度的空间分布特征;情绪地图挖掘活跃用户对空间的情绪表达和正负面态度;对象地图解析出现这种签到热力分布和情绪分布的原因,发现引发正负面态度的情绪对象。通过分析用户对规划师所设定的风貌要素载体的典型意见,将要素载体归纳为有感知积极、有感知消极、无感知和有感知未设定4类。今后应进一步从要素识别和价值判断两个方面为规划师塑造和管控城市风貌提供参考意见。 Using social network data to apperceive and evaluate cityscape characteristics is a new method for the quantitative study of urban features. Taking the sign-in data of Sina microblog as data sources of cityscape characteristics perception, this study used text mining and semantic analysis to explore the perception and evaluation of cityscape characteristics in the main urban area of Chongqing Municipality. The study resulted in three maps about the main urban area of Chongqing Municipality, including the sign-in map, the emotion map,and the object map. The sign-in map objectively reflects the distribution of level of activity of the users; the emotion map mines users' emotional expression of positive and negative attitudes on their sign-in space; the object map analyzes the reasons behind the activity distribution and emotional expression to find out urban features that cause positive and negative attitudes. By analyzing the users' typical opinions on urban features designed by planners, the factors are classified into four categories: perceived and positive, perceived and negative, unconscious, and perceived but unspecified. The study provides further references on factor identification and quality evaluation to planners for shaping and controlling urban features.
出处 《地理科学进展》 CSSCI CSCD 北大核心 2017年第9期1058-1066,共9页 Progress in Geography
基金 中华人民共和国住房和城乡建设部科技计划项目(2017-R2-022)~~
关键词 城市风貌感知与评价 新浪微博 语义分析 重庆 签到地图 情绪地图 对象地图 social network data evaluate cityscape characteristics quantitative study urban features sign-in data Sina microblog
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