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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

268
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...
268
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

292
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
292
Community Based Intervention01:30

Community Based Intervention

255
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
255
Restorative Care01:19

Restorative Care

2.3K
Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
2.3K
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

413
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...
413
Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

372
Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
372

You might also read

Related Articles

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

Sort by
Same author

Association and predictive value of preoperative high-sensitivity C-reactive protein for postoperative atrial fibrillation after video-assisted thoracoscopic lobectomy: a cohort study using the INSPIRE database.

BMC anesthesiology·2026
Same author

RBM12 Maintains Glioma Stem Cells by Activating Amino Acid-Dependent mTORC1 Signaling via SLC7A5 mRNA Stabilization.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Translation and Cross-Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use.

International forum of allergy & rhinology·2026
Same author

GLP-1 receptor agonists alleviate inflammatory responses and endothelial dysfunction in atherosclerosis by activating the Sema3A/NRP1 pathway.

Frontiers in cardiovascular medicine·2026
Same author

Aligning attitudes and actions: experience of extreme weather events raises environmental concerns and pro-environmental behaviors of residents.

Frontiers in public health·2026
Same author

Photocatalytic construction of seven-membered aza-heterocycles: recent advances and mechanistic insights.

Chemical communications (Cambridge, England)·2026

Related Experiment Video

Updated: Jan 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K

Human-Centered Infrastructure Restoration: An Integrated Framework for Demand Estimation and Resource Allocation.

Yudi Chen1, Zhipeng Zhou1, Jingfeng Yuan2

  • 1College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|December 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for infrastructure restoration after disasters. It better meets community needs by dynamically estimating demand and prioritizing repairs, improving societal resilience.

More Related Videos

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration
14:44

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

2.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K

Related Experiment Videos

Last Updated: Jan 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K
Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration
14:44

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

2.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K

Area of Science:

  • Civil Engineering
  • Disaster Management
  • Operations Research

Background:

  • Lifeline infrastructure restoration is crucial for societal function post-disaster.
  • Existing models often assume constant community demand, leading to service mismatches.
  • Accurate demand estimation is vital for effective post-disaster infrastructure recovery.

Purpose of the Study:

  • To propose an integrated, demand-oriented framework for infrastructure restoration.
  • To address the gap in accounting for dynamic community demand post-disaster.
  • To enhance the effectiveness and speed of infrastructure service restoration.

Main Methods:

  • Developed a Bayesian-based method for community demand estimation and rapid updating.
  • Created a demand-oriented optimization model for prioritizing resource allocation.
  • Employed an iterative solution method and a hybrid simulation-optimization approach for demand uncertainty and dynamic situations.

Main Results:

  • The proposed framework significantly improved community demand satisfaction.
  • Demonstrated a reduction in penalty costs associated with unmet infrastructure demands.
  • Validated through the restoration of interdependent power and water networks in Shelby County, TN.

Conclusions:

  • The demand-oriented framework enhances post-disaster infrastructure restoration effectiveness.
  • The framework supports decision-making for resilience planning and scenario simulation.
  • This approach leads to more community-centered disaster recovery and planning.