An analysis of the temporal and spatial gathering and dispersion patterns of crowds at the community level after the 2020 M5.1 Tangshan Guye earthquake-Reference-Cited by-同舟云学术

An analysis of the temporal and spatial gathering and dispersion patterns of crowds at the community level after the 2020 M5.1 Tangshan Guye earthquake

Published:2021-07 Issue: Volume:61 Page:102331
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Li Dongping,Chen Haipeng,Shen Weiyong,Ye Miao

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference40 articles.

1. Impact of temporal population distribution on earthquake loss estimation: a case study on Sylhet, Bangladesh;Ara;Int. J. Disas. Risk Sci.,2014

2. Using gps to learn significant locations and predict movement across multiple users;Ashbrook;Personal Ubiquitous Comput.,2003

3. Integrating population dynamics into mapping human exposure to seismic hazard;Freire;Nat. Hazards Earth Syst. Sci.,2012

4. Recovery migration to the city of new orleans after hurricane katrina: a migration systems approach;Fussell;Popul. Environ.,2014

5. Social vulnerability and migration in the wake of disaster: the case of hurricanes katrina and rita;Myers;Popul. Environ.,2008

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The movement pattern changes of population following a disaster: Example of the Aegean Sea earthquake of October 2020;International Journal of Disaster Risk Reduction;2024-10

2. Fine-scale spatiotemporal earthquake casualty risk assessment considering building function types;International Journal of Disaster Risk Reduction;2024-10

3. Mobile positioning-based population statistics in crisis management: An Estonian case study;International Journal of Disaster Risk Reduction;2023-10

4. Urban flood susceptibility mapping based on social media data in Chengdu city, China;Sustainable Cities and Society;2023-01

5. Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method;Remote Sensing;2022-09-20