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 Experiment Videos

Defining agents' behaviors to simulate complex residential development using multicriteria evaluation.

Xia Li1, Xiaoping Liu

  • 1School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, PR China. lixia@mail.sysu.edu.cn

Journal of Environmental Management
|January 16, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Identification of small-molecule inhibitors against human leukocyte antigen-death receptor 4 (HLA-DR4) through a comprehensive strategy.

Journal of chemical information and modeling·2011
Same author

A novel truncated basic fibroblast growth factor fragment-conjugated poly (ethylene glycol)-cholesterol amphiphilic polymeric drug delivery system for targeting to the FGFR-overexpressing tumor cells.

International journal of pharmaceutics·2011
Same author

A novel paradigm for potential drug-targets discovery: quantifying relationships of enzymes and cascade interactions of neighboring biological processes to identify drug-targets.

Molecular bioSystems·2011
Same author

Facile synthesis of ultrasmall GdF3 nanowires via an oriented attachment growth and their luminescence properties.

Chemical communications (Cambridge, England)·2011
Same author

Prevalence and associated factors of knee osteoarthritis in a community-based population in Heilongjiang, Northeast China.

Rheumatology international·2011
Same author

[Determination of geniposide and croein-1 in different breed of fructus gardeniae].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials·2011

This study enhances urban simulation by integrating agent-based models with multicriteria evaluation, using real-world data to define agent properties for more realistic residential development simulations.

Area of Science:

  • Urban simulation
  • Geographical phenomena modeling
  • Agent-based modeling

Background:

  • Cellular automata (CA) models are widely used for geographical simulations but struggle to capture individual behaviors crucial for urban dynamics.
  • Agent-based modeling (ABM) offers a solution by incorporating individual influences but lacks standardized methods for defining agent properties.
  • Accurate simulation of urban development requires models that account for individual decision-making and behavior.

Purpose of the Study:

  • To develop a methodology for defining agent properties in agent-based models using multicriteria evaluation techniques.
  • To improve the realism of urban simulations by incorporating empirically derived agent behaviors.
  • To apply the enhanced agent-based model to simulate residential development in a rapidly growing city.

Related Experiment Videos

Main Methods:

  • Utilized multicriteria evaluation techniques to determine agent parameters for the agent-based model.
  • Integrated empirical data from Geographic Information Systems (GIS) to define agent properties.
  • Conducted sensitivity analysis to evaluate the impact of parameter variations on simulation outcomes.

Main Results:

  • Successfully defined agent properties using multicriteria evaluation and GIS data.
  • Demonstrated the model's applicability in simulating residential development patterns.
  • Sensitivity analysis provided insights into the influence of agent parameters on simulation results.

Conclusions:

  • The proposed methodology effectively enhances agent-based models for urban simulation by incorporating individual behaviors.
  • Empirically grounded agent properties lead to more realistic simulations of urban phenomena like residential development.
  • This approach offers a valuable framework for future urban planning and simulation studies.