Nathanael Rosenheim

ORCID: 0000-0001-5601-0126
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About
Contact & Profiles
Research Areas
  • Disaster Management and Resilience
  • Infrastructure Resilience and Vulnerability Analysis
  • Flood Risk Assessment and Management
  • Tropical and Extratropical Cyclones Research
  • Evacuation and Crowd Dynamics
  • Disaster Response and Management
  • Food Security and Health in Diverse Populations
  • Coastal and Marine Dynamics
  • Urban Agriculture and Sustainability
  • Wind and Air Flow Studies
  • Income, Poverty, and Inequality
  • Transportation Planning and Optimization
  • demographic modeling and climate adaptation
  • Smart Grid Security and Resilience
  • Tree Root and Stability Studies
  • Homelessness and Social Issues
  • Water Systems and Optimization
  • Urban Transport and Accessibility
  • Geriatric Care and Nursing Homes
  • Housing Market and Economics
  • Transport and Economic Policies
  • Optimization and Search Problems
  • Demographic Trends and Gender Preferences
  • Urban and Rural Development Challenges
  • Facility Location and Emergency Management

Texas A&M University
2019-2024

Florida International University
2023

Rice University
2023

Louisiana State University
2023

ORCID
2020-2021

Colorado State University
2019

In 2015, the U.S National Institute of Standards and Technology (NIST) funded Center Excellence for Risk-Based Community Resilience Planning (CoE), a fourteen university-based consortium almost 100 collaborators, including faculty, students, post-doctoral scholars, NIST researchers. This paper highlights scientific theory behind state-of-the-art cloud platform being developed by CoE - Interdisciplinary Networked Modeling Environment (IN-CORE). IN-CORE enables communities, consultants,...

10.1016/j.rcns.2023.07.004 article EN cc-by-nc-nd Resilient Cities and Structures 2023-06-01

In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed researchers from NIST's Engineering Laboratory (Disaster and Failure Studies Program, Group, the Applied Economics Office) to conduct field study focused impacts Lumber River flooding in Lumberton, Carolina. Lumberton is racially ethnically...

10.1061/(asce)nh.1527-6996.0000387 article EN cc-by Natural Hazards Review 2020-06-13

This paper presents a methodology that generates and links high-resolution spatial data on households housing units with heterogeneous characteristics (i.e., size, tenure status, occupied, vacant) to residential buildings which in turn are linked critical infrastructure. The utilizes areal demographic from the US Census, probabilistically an inventory of located buildings. By allocating household socio-demographic single multi-family structures themselves infrastructure systems, coupled...

10.1080/23789689.2019.1681821 article EN Sustainable and Resilient Infrastructure 2019-11-19

Hurricane-induced hazards can result in significant damage to the built environment cascading into major impacts households, social institutions, and local economy. Although quantifying physical of hurricane-induced is essential for risk analysis, it necessary but not sufficient community resilience planning. While there have been several studies on hurricane recovery assessment at building- community-level, few focused nexus coupled disruptions, particularly when characterizing face coastal...

10.1016/j.rcns.2023.07.003 article EN cc-by Resilient Cities and Structures 2023-06-01

Abstract This paper presents a building‐level post‐hazard functionality model for communities exposed to flood hazards including the interdependencies between population, buildings, and infrastructure. An existing portfolio of building archetypes is used physical different typologies within community with goal supporting resilience‐informed decision‐making. Specific fragility‐based curves were developed this quantify exceedance probability prescribed set states. While buildings significant...

10.1111/mice.13135 article EN cc-by Computer-Aided Civil and Infrastructure Engineering 2024-01-19

The data and information available at the community-scale are directly linked to ability make a resilience-informed decision in natural hazards. This paper develops systematic approach quantify implication of building inventory accuracy on resilience metrics for informed decision-making across engineering, economic sociological dimensions community level. method consists of: (1) availability, (2) model development, (3) spatial hazard analysis, (4) physical damage functionality (5)...

10.1080/15732479.2020.1845753 article EN Structure and Infrastructure Engineering 2020-11-23

The combined effect of storm surge and wave action during severe storms in coastal regions can cause significant damage to civil infrastructures with cascading consequences communities their residents respect emergency response, repair, recovery. This coupling natural, physical, social systems presents an important yet relatively underexplored problem the probabilistic risk assessment systems. Not only does exist among built triggered by natural hazard events, but a wealth sources...

10.1061/(asce)nh.1527-6996.0000459 article EN Natural Hazards Review 2021-05-18

Tornadoes occur at a high frequency in the United States compared with other natural hazards but have substantially small footprint. A single high-intensity tornado can result casualty rates and catastrophic economic social consequences, particularly for small- to medium-size communities. Comprehensive community resilience assessment improvement requires analyst develop model of interacting physical, social, systems measure outcomes that from specific decisions made. These often are form...

10.1061/(asce)is.1943-555x.0000642 article EN Journal of Infrastructure Systems 2021-08-10

For households of all income levels, and especially for those that are food insecure, access can be threatened by natural hazards. Extreme hazards disrupt critical infrastructure systems, such as the transportation or electrical power networks, damaging roads bridges supply chains transmission lines providing electricity preservation. Interdependencies among systems within chain make it vulnerable to unanticipated cascading consequences. Maintaining security in aftermath a hazard challenges...

10.1080/15732479.2019.1584824 article EN Structure and Infrastructure Engineering 2019-03-27

Despite efforts to end homelessness in the United States, student is gradually growing over past decade. Homelessness creates physical and psychological disadvantages for students often disrupts school access. Research suggests that who experience prolonged dislocation disruption after a disaster are primarily from low-income households under-resourced areas. This study develops framework predict post-disaster trajectories kindergarten through high (K-12) faced with major disaster; includes...

10.1016/j.rcns.2023.07.005 article EN cc-by Resilient Cities and Structures 2023-06-01

To estimate changes in the cost and utilization of Medicare among beneficiaries over age 65 who have been impacted by a natural disaster, we merged publically available county-level claims for years 2008–2012 with Federal Emergency Management Agency (FEMA) data related to disasters each U.S. County from 2007 2012. Fixed-effects generalized linear models were used calculate change per capita costs standardized region 1000 at county level. Aggregate demographic characteristics participants...

10.1186/s12913-018-2900-9 article EN cc-by BMC Health Services Research 2018-02-07

Problem, research strategy, and findings Access after disasters to resources such as food poses planning problems that affect millions of people each year. Understanding how disrupt alter access during the initial steps recovery process provides new evidence inform both system disaster planning. Our took a supply-side focus explored results from survey retailers Hurricane Harvey in three Texas counties. The collected information on affected store's property, people, products length time...

10.1080/01944363.2023.2284160 article EN cc-by Journal of the American Planning Association 2024-01-10

Abstract Medicare utilization and costs for residents of the U.S. Gulf Coast, who are highly vulnerable to natural disasters, may be impacted by their disaster exposure. To estimate differences in healthcare exposure, we calculated expenditures among States compared them with other regions Panel models were used calculate changes overall expenditures, inpatient home health 32,819 beneficiaries. Individual demographic characteristics included as predictors change expenditures. beneficiaries...

10.1097/md.0000000000015589 article EN cc-by-nc Medicine 2019-05-01

Abstract This paper presents a methodology to evaluate life safety risk of coastal communities vulnerable seismic and tsunami hazards. The work explicitly incorporates two important aspects in evacuation modeling: (1) the effect earthquake-induced damage buildings on building egress time, (2) debris horizontal time. city Seaside, Oregon, is selected as testbed community. hazard based megathrust earthquake from Cascadia Subduction Zone that was defined previous study. built environment...

10.21203/rs.3.rs-1862973/v1 preprint EN cc-by Research Square (Research Square) 2022-07-20

Modeling community resilience to flood hazards has gained substantial interest over the past two decades due increased risk from climate change and urbanization. Climate increases both frequency intensity of some natural hazards, which is further exacerbated by Post-hazard functionality assessment buildings communities following crucial for risk- resilience-informed decisions. Although modeling building damage essential quantify post-hazard functionality, it insufficient a comprehensive...

10.1061/9780784485163.041 article EN 2023-11-14

Funding for this study was provided as part of Cooperative Agreement 70NANB15H044 between the National Institute Standards and Technology (NIST) Colorado State University. The content expressed in paper are views authors do not necessarily represent opinions or NIST U.S Department Commerce. Researchers who helped with gathering data during field trip to city Joplin acknowledged.

10.22725/icasp13.094 article EN 2019-05-26

This research was supported by the National Key R&D Program of China (Grant No. 2016YFC0800200) and US Institute Standards Technology (NIST) under Cooperative Agreement 70NANB15H044.

10.22725/icasp13.376 article EN 2019-05-26
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