Vivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
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引用次数: 0

Abstract

Since COVID-19, the focus on urban resilience has intensified, particularly on cities' ability to adapt and recover while maintaining essential functions and liveability; however, few studies have examined the resilience of urban vibrancy during such health crises. This study investigates urban vibrancy resilience in Inner London during the COVID-19 pandemic using multi-sourced social media data (geo-tagged Twitter and Flickr). We propose an analytical framework based on space-time permutation scan statistics (STPSS) to identify spatiotemporal urban areas of interest (ST-AOIs), examining their spatial, temporal, and contextual characteristics. Our findings show that central neighbourhoods with transport hubs, educational and healthcare facilities, eateries, and financial centres exhibit greater resilience. These areas adapt by shifting active periods in response to disruptions. Additionally, we assess the varying resilience capacities of different types of points of interest. This research provides actionable insights for urban planners and policymakers by demonstrating how identifying characteristics of robust urban vibrancy can contribute to the resilience of cities and communities, particularly under normal conditions after COVID-19. The findings offer concrete strategies for integrating social media data into urban planning processes, enabling more responsive and adaptive governance that meets the dynamic needs of urban populations.

生动的伦敦:利用社交媒体数据评估 COVID-19 大流行期间城市活力的复原力
自 COVID-19 以来,人们更加关注城市的恢复能力,尤其是城市在保持基本功能和宜居性的同时进行适应和恢复的能力;然而,很少有研究对此类健康危机期间城市活力的恢复能力进行考察。本研究利用多源社交媒体数据(有地理标记的 Twitter 和 Flickr),调查了 COVID-19 大流行期间内伦敦的城市活力复原力。我们提出了一个基于时空置换扫描统计(STPSS)的分析框架,用于识别时空城市兴趣区(ST-AOIs),研究其空间、时间和背景特征。我们的研究结果表明,拥有交通枢纽、教育和医疗设施、餐饮场所和金融中心的中心街区表现出更强的抗灾能力。这些地区通过转移活跃期来应对干扰。此外,我们还评估了不同类型兴趣点的不同恢复能力。这项研究为城市规划者和政策制定者提供了可操作的见解,证明了识别城市活力的特征如何有助于提高城市和社区的复原力,尤其是在 COVID-19 之后的正常情况下。研究结果提供了将社交媒体数据整合到城市规划过程中的具体策略,从而使治理更具响应性和适应性,满足城市人口的动态需求。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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