Abstract

Urban lifelines are the backbone of fundamental services that require stable to enable all other aspects of society to function during natural hazards. However, few studies have focused on measuring lifeline performance and resilience to hazards, especially from the public perspective. In this study, taking flood as the research object, we introduced an enhanced urban lifelines classification scheme, incorporating the FEMA lifeline framework and co-occurrence relationships of keywords from social media. Subsequently, 430 million microblogs were extracted to analyze the public concern and emotion towards the performance of urban lifelines during floods across China in 2017 and 2020. Our findings reveal that social media users highly appreciate the robust resilience of urban lifelines in response to floods in China, and this approval has exhibited improvement from 2017 to 2020. Nevertheless, our study also sheds light on areas where urban lifelines require enhancement, such as the implementation of more effective and timely early warning systems, as well as strategies to combat rumor spreading, which often triggers negative emotions during the flood period. The data-driven approach we employed offers a fresh and innovative perspective for evaluating the resilience of urban lifelines in the face of natural disasters.

Metadata

publication

Tao and ma, ting and Burghardt, Keith and Lerman, Kristina, Evaluating …, 2023

year

2023

publication date

2023/12/12

authors

Jiale Qian, Tao Pei, Keith Burghardt, Kristina Lerman

link

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593844

resource_link

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=4593844

journal

Tao and ma, ting and Burghardt, Keith and Lerman, Kristina, Evaluating Resilience on Urban Lifelines in Response to Floods Across China Using Social Media Data