Award Abstract # 1832068
Excellence in Research: Integrated Hazard and Traffic Modeling for Massive Evacuation in Florida Under Uncertainty of Hurricane Track

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: FLORIDA A & M UNIVERSITY
Initial Amendment Date: September 7, 2018
Latest Amendment Date: September 7, 2018
Award Number: 1832068
Award Instrument: Standard Grant
Program Manager: Daan Liang
dliang@nsf.gov
 (703)292-2441
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: September 15, 2018
End Date: August 31, 2023 (Estimated)
Total Intended Award Amount: $499,682.00
Total Awarded Amount to Date: $499,682.00
Funds Obligated to Date: FY 2018 = $499,682.00
History of Investigator:
  • Wenrui Huang (Principal Investigator)
    whuang@eng.famu.fsu.edu
  • Eren Ozguven (Co-Principal Investigator)
Recipient Sponsored Research Office: Florida Agricultural and Mechanical University
1700 LEE HALL DR #201
TALLAHASSEE
FL  US  32307-0001
(850)599-3531
Sponsor Congressional District: 02
Primary Place of Performance: Florida A&M University
2525 Pottsdamer St.
Tallahassee
FL  US  32310-6046
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): W8LKB16HV1K5
Parent UEI:
NSF Program(s): EDA-Eng Diversity Activities,
HBCU-EiR - HBCU-Excellence in
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 041E, 041Z, 042E
Program Element Code(s): 768000, 070Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Hurricanes are frequent hazardous events in the State of Florida. More reliable and more accurate model predictions of hurricane-induced coastal hazards will provide better information for the development of effective operational plans for hurricane evacuations. This research project will integrate uncertainty analysis of hurricane tracks, hurricane-induced coastal hazard models, emergency evacuation models, and models of accessibility and capacity of hurricane shelters. With the new integration of these models and the capability to examine the interdependencies of the critical infrastructures, better dynamic massive-evacuation traffic modeling can be produced. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that will improve future hurricane evacuations.

This project integrates coastal hazard modeling with comprehensive evacuation modeling while considering the uncertainty of hurricane tracks. For each hurricane track, coastal hazard modeling is conducted to identify areas affected by the hurricane. Integrated with coastal hazard modeling, emergency evacuation models are used to develop efficient comprehensive evacuation scenarios to avoid delays and bottlenecks of traffic flows based on the consideration of voluntary evacuation, mandatory evacuation, and shadow evacuation. A network optimization model maximizes the accessibility and capacity of hurricane shelters. Selected historical hurricane events are used as case studies to test the integrated coastal hazard and evacuation models. This research exposes students at the HBCU institution of Florida A&M University to many coastal hazard and emergency relief issues, which range from hazard assessments to resilience of roadway networks, enhancing the quality of education and research for both undergraduate and graduate programs.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 17)
Alisan, O. "Location selection of field hospitals amid COVID-19 considering effectiveness and fairness: A case study of Florida" International journal of disaster risk reduction , v.93 , 2023 Citation Details
Alisan, Onur and Ghorbanzadeh, Mahyar and Ulak, Mehmet Baran and Kocatepe, Ayberk and Ozguven, Eren Erman and Horner, Mark and Huang, Wenrui "Extending interdiction and median models to identify critical hurricane shelters" International Journal of Disaster Risk Reduction , v.43 , 2020 10.1016/j.ijdrr.2019.101380 Citation Details
Chen, Mingyang and Karaer, Alican and Ozguven, Eren Erman and Abichou, Tarek and Arghandeh, Reza and Nienhius, Jaap "Developing City-Wide Hurricane Impact Maps using Real-Life Data on Infrastructure, Vegetation and Weather" Transportation Research Record: Journal of the Transportation Research Board , v.2675 , 2021 https://doi.org/10.1177/0361198120972714 Citation Details
Ghorbanzadeh, Mahyar and Burns, Simone and Rugminiamma, Linoj Vijayan and Erman Ozguven, Eren and Huang, Wenrui "Spatiotemporal Analysis of Highway Traffic Patterns in Hurricane Irma Evacuation" Transportation Research Record: Journal of the Transportation Research Board , 2021 https://doi.org/10.1177/03611981211001870 Citation Details
Ghorbanzadeh, Mahyar and Kim, Kyusik and Erman Ozguven, Eren and Horner, Mark W "Spatial accessibility assessment of COVID-19 patients to healthcare facilities: A case study of Florida" Travel Behaviour and Society , v.24 , 2021 https://doi.org/10.1016/j.tbs.2021.03.004 Citation Details
Ghorbanzadeh, Mahyar and Koloushani, Mohammadreza and Ulak, Mehmet Baran and Ozguven, Eren Erman and Jouneghani, Reza Arghandeh "Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages" Energies , v.13 , 2020 10.3390/en13051098 Citation Details
Ghorbanzadeh, Mahyar and Vijayan, Linoj and Yang, Jieya and Ozguven, Eren Erman and Huang, Wenrui and Ma, Mengdi "Integrating Evacuation and Storm Surge Modeling Considering Potential Hurricane Tracks: The Case of Hurricane Irma in Southeast Florida" ISPRS International Journal of Geo-Information , v.10 , 2021 https://doi.org/10.3390/ijgi10100661 Citation Details
Huang, Wenrui and Yin, Kai and Ghorbanzadeh, Mahyar and Ozguven, Eren and Xu, Sudong and Vijayan, Linoj "Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane evacuation" Frontiers of Structural and Civil Engineering , v.15 , 2021 https://doi.org/10.1007/s11709-021-0765-1 Citation Details
Jieya Yang, Wenrui Huang "Effects of Population Density and Traffic Flow on Covid-19 Disasters in Florida" Advancements in civil engineering technology , v.4 , 2020 10.31031/ACET.2020.04.000585 Citation Details
Linoj Vijayan, Wenrui Huang "Improving the accuracy of hurricane wave modeling in Gulf of Mexico with dynamically-coupled SWAN and ADCIRC" Ocean engineering , v.274 , 2023 Citation Details
Linoj Vijayan, Wenrui Huang "Rapid simulation of storm surge inundation for hurricane evacuation in Florida by multi-scale nested modeling approach" International journal of disaster risk reduction , v.99 , 2023 Citation Details
(Showing: 1 - 10 of 17)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Recent major hurricanes such as Hurricanes Irma and Michael have clearly shown the urgent needs to study the integration of coastal hazard and evacuation modeling. Major intellectual merit in this project is the integration of coastal hazard modeling (wind, storm surge, and wave) with massive evacuation modeling by considering the uncertainty of hurricane track. In order to provide more accurate predictions of coastal inundation, different parametric wind models have been evaluated and tested in a case study of Hurricane Michael. Dynamically-coupled SWAN and ADCIRC modeling has been found to improve the accuracy of hurricane wave modeling. In order to improve simulation speed, multi-scale nested modeling approach has been developed and tested for rapid simulation of storm surge inundation. Numerical modeling has also been conducted to investigate hurricane wave attenuations after overtopping the sand dunes during storm surges. Integrating those wave-surge models with traffic and accessibility modeling, several case study applications have been conducted. The approach of integrated coastal hazard and evacuation modeling has been tested for Hurricane Irma in South Florida, and the case study of  Hurricane Michael with the uncertainty of hurricane tracks within the forecasting cone covering major coastal cities in Florida Panhandle. Findings from the study have been presented in over 10 research articles published in peer-reviewed scientific journals.

Hurricane Irma made an unusual landfall in South Florida after suddenly shifting its path to the west coast of the peninsula in 2017. This study first assessed the spatiotemporal traffic impacts of Irma on major highways based on real-time traffic data before, during, and after the hurricane made landfall. It was clear that the evacuation process had to change immediately without any time for individual decision-making due to uncertain path. In order to provide guidance for this, integrated evacuation and storm surge modeling has been conducted for the case study of Irma. Modeling such integrated simulations before the hurricane hit the state could provide the information people in hurricane-prone areas need to decide to evacuate or not before the mandatory evacuation order is given.

Hurricane Michael devastated the northwestern Florida in 2018, and specifically impacted areas that are underserved and vulnerable. A Geographical Information Systems (GIS)-based optimization methodology was developed for evaluating the accessibility to special needs shelters and repurposing existing regular hurricane shelters for special needs populations. Emergency plans can be improved by the proposed methodology, which can estimate the inundation zones by storm surge modeling and allocate the emerging shelter demand by accessibility analysis and location modeling. This problem becomes even more challenging when we consider the impact of sea level rise that happens due to global warming and other climate-related factors. Therefore, compound inundation has been investigated by modeling storm surge and waves under future sea level rise scenarios. Within forecasted hurricane cone of Hurricane Michael, integrated coastal hazard and evacuation models have been conducted for hurricane tracks covering Pensacola, Destin, and Panama City. Results indicate that rural areas lost accessibility faster than urban areas due to shelter distributions, and roadway closures as spatial accessibility to shelters for offshore populations was rapidly diminishing. More accurate predictions of coastal inundation and better evacuation planning of hurricane shelters can lead to avoiding over-evacuation and less traffic congestion.

This project delivered broad benefits through substantial collaborations with practitioners, academia, students, and the general public. The knowledge and insight gained from the results of this project not only improve our understanding of emergency transportation operations, but it also benefits to the development of new disaster-related policies and plans for local and state governments. Florida Department of Transportation, Florida Division of Emergency Management, and communities were engaged through meetings where appropriate, utilizing expert and public perspective and perception of the findings of the research. An international workshop hosted in Tallahassee by the research team was used for this purpose, and results of this research was disseminated to a wider audience including the academia, companies, government agencies, and communities. Research activities and findings have been introduced to some undergraduate and graduate classes. This research exposed students to many hurricane resilience issues related to storm surge modeling, sea level rise, emergency evacuations, and transportation accessibility. These activities led to several publications in peer-reviewed journals and conference presentations where students involved in this project has actively involved in. Participation of underrepresented students have also broadened their knowledge through the project training. The research project has led to the enhancement of the quality of both undergraduate STEM education and research at Florida A&M University, a HBCU institution, as a means to broaden participation of underrepresented minority populations. Two Ph.D. students and one MS degree students as well as two undergraduate students have graduated through the support or partial support from this research project.


Last Modified: 12/04/2023
Modified by: Wenrui Huang

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