TY - GEN
T1 - Human-Sensitive Quantification of City-Scale Human Activity Changes during Natural Disasters
AU - Liu, Yang
AU - Liu, Kaijian
N1 - Publisher Copyright:
© ASCE 2023.All rights reserved.
PY - 2024
Y1 - 2024
N2 - In this pressing time of climate change, the nation's civil infrastructure systems are challenged by more frequent and intensifying natural disasters. Natural disasters have a disruptive impact on human activities. In coping with ever-increasing disasters, research studies have strived to develop resilience strategies to build physically resilient infrastructure systems. However, there is a lack of research investigating the impact of disasters on human activities across different population groups. To address this limitation, this paper proposes a clustering-based method to analyze the changes in human activities during disasters in a human-sensitive way. The proposed method includes two components: (1) population group discovery to cluster atomic population units into distinctive population groups and (2) activity change quantification to quantify the changes in activity frequency for each identified population group. As a preliminary study, this paper focuses on presenting the proposed method and its implementation in analyzing the impact of Hurricane Ida on different population groups in Manhattan, NYC.
AB - In this pressing time of climate change, the nation's civil infrastructure systems are challenged by more frequent and intensifying natural disasters. Natural disasters have a disruptive impact on human activities. In coping with ever-increasing disasters, research studies have strived to develop resilience strategies to build physically resilient infrastructure systems. However, there is a lack of research investigating the impact of disasters on human activities across different population groups. To address this limitation, this paper proposes a clustering-based method to analyze the changes in human activities during disasters in a human-sensitive way. The proposed method includes two components: (1) population group discovery to cluster atomic population units into distinctive population groups and (2) activity change quantification to quantify the changes in activity frequency for each identified population group. As a preliminary study, this paper focuses on presenting the proposed method and its implementation in analyzing the impact of Hurricane Ida on different population groups in Manhattan, NYC.
UR - http://www.scopus.com/inward/record.url?scp=85184111327&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184111327&partnerID=8YFLogxK
U2 - 10.1061/9780784485248.004
DO - 10.1061/9780784485248.004
M3 - Conference contribution
AN - SCOPUS:85184111327
T3 - Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
SP - 27
EP - 35
BT - Computing in Civil Engineering 2023
A2 - Turkan, Yelda
A2 - Louis, Joseph
A2 - Leite, Fernanda
A2 - Ergan, Semiha
T2 - ASCE International Conference on Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability, i3CE 2023
Y2 - 25 June 2023 through 28 June 2023
ER -