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: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

189
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...
189
Manipulation and Analysis01:21

Manipulation and Analysis

163
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
163
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

277
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...
277
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

922
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
922
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

259
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
259
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

179
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
179

You might also read

Related Articles

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

Sort by
Same author

Phase separation in plants: mechanisms, functions, and a simplified workflow for investigation.

Frontiers in plant science·2026
Same author

Solvent polarity and chalcogen electronegativity synergistically regulate excited-state proton transfer in BBYPD derivatives.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology·2026
Same author

Electrostatic tuning of the pyridoxal-5'-phosphate cofactor site defines pH dependence in type I cystathionine β-lyases.

The Journal of biological chemistry·2026
Same author

PDSXray: A Benchmark Dataset for Pseudocoloring-Driven Domain Adaptation in Security X-ray Inspection.

Scientific data·2026
Same author

Strain-specific effects of lactic acid bacteria on rambutan juice fermentation: Insights from physicochemical, volatile, and non-volatile profiles.

Food chemistry·2026
Same author

Improving fermentation efficiency and aroma quality of Shanlan Rice wine: Co-fermentation with selected dominant microorganisms from Shanlan Qubing.

Food research international (Ottawa, Ont.)·2026
Same journal

Asynchronous federated learning with partial weights aggregation for energy consumption forecasting.

Science progress·2026
Same journal

Prediction of laser welding molten pool light intensity distribution based on an artificial neural network.

Science progress·2026
Same journal

Prognostic characteristics of disulfidptosis-related genes across cancers and their potential implications in osteosarcoma.

Science progress·2026
Same journal

Automated data processing and analysis method for shaking table tests of masonry structures based on python open-source toolchain.

Science progress·2026
Same journal

A diagnostic model for non-invasive localization of culprit lesions in NSTE-ACS by integrating CCTA geometric and plaque parameters.

Science progress·2026
Same journal

Novel susceptibility genes for varicose veins revealed by a cross-tissue transcriptome-wide association study.

Science progress·2026
See all related articles

Related Experiment Video

Updated: Nov 22, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.9K

Robust optimization approach to emergency mobile facility routing.

Jianxun Li1, Kin Keung Lai2, Yelin Fu2

  • 1School of Economic and Management, Xi'an University of Technology, Xi'an, China.

Science Progress
|January 11, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a model for optimizing emergency mobile facility routing to maximize demand served during critical events. It uses robust optimization and genetic algorithms to handle uncertainties, improving emergency response efficiency.

Keywords:
Emergency eventemergency mobile facility routingrobust optimization

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

945
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.7K

Related Experiment Videos

Last Updated: Nov 22, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.9K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

945
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.7K

Area of Science:

  • Operations Research
  • Emergency Management
  • Optimization

Background:

  • Emergency events pose significant threats to life and property.
  • Effective allocation of mobile facilities is crucial for meeting emergency service demands.

Purpose of the Study:

  • To propose an emergency mobile facility routing model.
  • To maximize total served demand by available mobile facilities.
  • To address the uncertainty inherent in emergency events.

Main Methods:

  • Modeling emergency events as a combination of multiple uncertain variables.
  • Employing a robust optimization approach.
  • Utilizing a genetic algorithm for computational efficiency.

Main Results:

  • The proposed model effectively solves the emergency mobile facility routing problem.
  • The model demonstrates the ability to maximize served demand under uncertainty.
  • Risk and penalty factors provide valuable decision-making guidance.

Conclusions:

  • The developed model offers an effective solution for emergency mobile facility routing.
  • Robust optimization and genetic algorithms are suitable for this complex problem.
  • The model's parameters enhance strategic decision-making in emergency response planning.