Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Habitat Fragmentation02:31

Habitat Fragmentation

Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
Ecological Disturbance02:26

Ecological Disturbance

An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.Ecological disturbances can be caused by an event as small as the trampling of underbrush to an incident as wide-ranging as a forest...
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Resolving the evolutionary duality of marine symbionts: redefining the genus <i>Endozoicomonas</i> and proposing <i>Neoendozoicomonas</i> gen. nov.

ISME communications·2026
Same author

Mental health outcomes among LGBTQ+ emerging adults: Latent profiles of intrapersonal and interpersonal strengths.

Journal of counseling psychology·2026
Same author

Thirteen metagenome-assembled genomes of <i>Paraglaciecola chathamensis</i> associated with the farmed red seaweeds <i>Porphyra dioica</i> and <i>Porphyra umbilicalis</i>.

Microbiology resource announcements·2026
Same author

Prokaryotic community structure and auxin biosynthesis in early developmental stages of farmed Atlantic Nori (<i>Porphyra</i> spp.).

Frontiers in microbiology·2026
Same author

Description of <i>Spongorhabdus</i> gen. nov., a novel genus within the <i>Endozoicomonadaceae</i> family, and its type species <i>Spongorhabdus nitratireducens</i> sp. nov., isolated from marine sponges.

International journal of systematic and evolutionary microbiology·2026
Same author

<i>Aquimarina rhabdastrellae</i> sp. nov., isolated from the marine sponge <i>Rhabdastrella globostellata</i>.

International journal of systematic and evolutionary microbiology·2026

Related Experiment Video

Updated: Jun 6, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Post-wildfire housing recovery simulation via an agent-based model.

Rodrigo Costa1, Ali Nejat2, Sara Hamideh3

  • 1Department of Systems Design Engineering, University of Waterloo, Waterloo, N2L 3G1, Canada. rodrigo.costa@uwaterloo.ca.

Scientific Reports
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

Climate change necessitates better disaster planning. A new agent-based model, RAAbIT, simulates housing recovery using early post-disaster data, aiding resilience efforts.

More Related Videos

Wind Tunnel Experiments to Study Chaparral Crown Fires
09:27

Wind Tunnel Experiments to Study Chaparral Crown Fires

Published on: November 14, 2017

Related Experiment Videos

Last Updated: Jun 6, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Wind Tunnel Experiments to Study Chaparral Crown Fires
09:27

Wind Tunnel Experiments to Study Chaparral Crown Fires

Published on: November 14, 2017

Area of Science:

  • Disaster management and computational social science.
  • Environmental science and climate change adaptation.
  • Urban planning and resilience studies.

Background:

  • Climate change exacerbates disaster frequency and intensity, demanding proactive post-disaster housing recovery strategies.
  • Existing computational models for recovery simulation often require extensive data or are limited in scope.
  • Effective planning is crucial to minimize long-term social and economic disruption.

Purpose of the Study:

  • To introduce RAAbIT (Recovery Assessment using Agent-based Tools), a novel agent-based model for simulating housing recovery.
  • To enable post-disaster housing recovery simulations using data available shortly after an event.
  • To provide a flexible and transferable tool for enhancing community resilience.

Main Methods:

  • Development of RAAbIT, an agent-based model simulating households, insurers, and contractors.
  • Incorporation of empirical behavior rules and modifiable system-level constraints (e.g., contractor availability).
  • Hindcasting of two California wildfires (Tubbs Fire 2017, Camp Fire 2018) to validate model performance.

Main Results:

  • RAAbIT successfully reproduced observed temporal and spatial patterns of housing recovery for both wildfires.
  • The model captured significantly divergent recovery trajectories between Santa Rosa (57% rebuilt) and Paradise (9% rebuilt) within five years.
  • Demonstrated ability to simulate recovery dynamics using data available within weeks of a disaster.

Conclusions:

  • RAAbIT offers a flexible and transferable tool for post-disaster housing recovery planning.
  • The model balances generalizability with data realism, supporting effective decision-making under uncertainty.
  • RAAbIT enhances community resilience by improving planning for climate change-related risks.