复苏之路:利用社交媒体数据感知城市解封措施的公众意见

摘要

The Covid-19 pandemic has resulted in cities around the world implementing lockdown measures, causing unprecedented disruption to urban life often extending over several months. With the spread of Covid-19 now being relatively contained, many cities have started to ease their lockdown restrictions by phases, aiming to return to normal or to enter a new normal. Following the phased recovery strategy proposed by the UK government following the first national lockdown, this paper utilises Greater London as its case study, selecting three main reopening measures (i.e., schools, shops and hospitality reopening). This paper applies sentiment analysis and topic modelling to explore public opinions expressed via Twitter. Our findings reveal that public attention towards the reopening measures reached a peak before the date of policy implementation. The attitudes expressed in discussing reopening measures changed from negative to positive. Regarding the discussed topics related to reopening measures, we find that citizens are more sensitive to early-stage reopening than later ones. This study provides a time-sensitive approach for local authorities and city managers to rapidly sense public opinion. Governments and policymakers can make use of the tool presented herein and utilise it in leading their post-lockdown cities into an adaptive, inclusive and smart recovery.

出版物
Cities
牛海沣
牛海沣
副研究员

英国剑桥大学土地经济系副研究员,欧盟Horizon 2020资助项目Emotional Cities空间分析研究员。主要研究兴趣包括城市大数据挖掘、空间数据科学、地理可视化、城市感知和城市动态模拟,特别是关注如何通过结合机器学习、人工智能和城市大数据来更好地支持城市规划、政策制定和智能管理。