Sensing Flooded Roads to Support Roadway Mobility during Flooding: A Web-Based Tool and Insights from Needs Assessment Interviews-Reference-Cited by-同舟云学术

Sensing Flooded Roads to Support Roadway Mobility during Flooding: A Web-Based Tool and Insights from Needs Assessment Interviews

Published:2023-11 Issue:4 Volume:24 Page:
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Panakkal Pranavesh¹,Fattoracci Elisa S. M.²,Padgett Jamie E.³^ORCID,King Danielle D.⁴^ORCID,Yoo Teddi⁵

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Rice Univ., 6100 Main St., Houston, TX 77005.

2. Graduate Research Assistant, Dept. of Psychological Sciences, Rice Univ., 6100 Main St., Houston, TX 77005.

3. Stanley C. Moore Professor, Dept. of Civil and Environmental Engineering, Rice Univ., 6100 Main St., Houston, TX 77005 (corresponding author). ORCID: .

4. Assistant Professor, Dept. of Psychological Sciences, Rice Univ., 6100 Main St., Houston, TX 77005. ORCID: .

5. Research Assistant, Dept. of Psychological Sciences, Rice Univ., 6100 Main St., Houston, TX 77005.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/NHREFO.NHENG-1753

Reference70 articles.

1. Automatic detection of passable roads after floods in remote sensed and social media data

2. Alam F. F. Ofli and M. Imran. 2018. “CrisisMMD: Multimodal twitter datasets from natural disasters.” In Proc. 12th Int. AAAI Conf. on Web and Social Media (ICWSM). Washington DC: Association for the Advancement of Artificial Intelligence.

3. Toward a User-Centered Design of a Weather Forecasting Decision-Support Tool

4. Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

5. Chang N.-B. and D.-H. Guo. 2006. “Urban flash flood monitoring mapping and forecasting via a tailored sensor network system.” In Proc. 2006 IEEE Int. Conf. on Networking Sensing and Control 757–761. New York: IEEE.

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