Integration of Geospatial Correlation for Rapid Highway Damage Identification Following Flooding-Reference-Cited by-同舟云学术

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Integration of Geospatial Correlation for Rapid Highway Damage Identification Following Flooding

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:ASCE Inspire 2023
language:
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Author:

Li Yitong¹²³⁴,Audrey Fieffer Jennifer¹²³⁴,Yang Chaowei¹²³⁴,Ji Wenying¹²³⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Environmental, and Infrastructure Engineering, George Mason Univ., Fairfax, VA.

2. Undergraduate Student, Dept. of Computer Science, George Mason Univ., Fairfax, VA.

3. Professor, Dept. of Geography and Geoinformation Science, George Mason Univ., Fairfax, VA.

4. Assistant Professor, Dept. of Civil, Environmental, and Infrastructure Engineering, George Mason Univ., Fairfax, VA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485163.049

Reference14 articles.

1. Rapid Assessment of Disaster Impacts on Highways Using Social Media

2. Diggle, P. J., and Ribeiro, P. J. 2007. Model-based Geostatistics. Springer New York, NY https://doi.org/https://doi.org/10.1007/978-0-387-48536-2.

3. Esri. 2022. “SSURGO dataset”. (May 5 2023).

4. Harris County Flood Control District. 2023. “Harris County Flood Warning System”. (Mar. 29 2023).

5. Robustness of Stakeholder Response Networks for Infrastructure System Protection

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