About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 5 of 5 results land markets clear
SLUCEII LUXE (Land Use in an eXurban Environment)
Shipeng Sun Dawn Parker Qingxu Huang Dan Brown Tatiana Filatova Rick L Riolo Derek Robinson Meghan Hutchins | Published Tuesday, September 10, 2013 | Last modified Saturday, October 22, 2022LUXE is a land-use change model featuring different levels of land market implementation. It integrates utility measures, budget constraints, competitive bidding, and market interactions to model land-use change in exurban environment.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca | Published Thursday, August 29, 2019An economic agent-based model of Coupled Housing and Land Markets (CHALMS) simulates the location choices, insurance purchasing decisions, and risk perceptions of coastal residents, and how coastal risks are capitalized (or not) into coastal housing and land markets.
Risks and Hedonics in Empirical Agent-based land market (RHEA) model
Koen de Koning Tatiana Filatova | Published Monday, April 01, 2019RHEA aims to provide a methodological platform to simulate the aggregated impact of households’ residential location choice and dynamic risk perceptions in response to flooding on urban land markets. It integrates adaptive behaviour into the spatial landscape using behavioural theories and empirical data sources. The platform can be used to assess: how changes in households’ preferences or risk perceptions capitalize in property values, how price dynamics in the housing market affect spatial demographics in hazard-prone urban areas, how structural non-marginal shifts in land markets emerge from the bottom up, and how economic land use systems react to climate change. RHEA allows direct modelling of interactions of many heterogeneous agents in a land market over a heterogeneous spatial landscape. As other ABMs of markets it helps to understand how aggregated patterns and economic indices result from many individual interactions of economic agents.
The model could be used by scientists to explore the impact of climate change and increased flood risk on urban resilience, and the effect of various behavioural assumptions on the choices that people make in response to flood risk. It can be used by policy-makers to explore the aggregated impact of climate adaptation policies aimed at minimizing flood damages and the social costs of flood risk.
Coastal Coupled Housing and Land Markets (C-CHALMS)
Nicholas Magliocca | Published Thursday, May 18, 2017Next generation of the CHALMS model applied to a coastal setting to investigate the effects of subjective risk perception and salience decision-making on adaptive behavior by residents.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Friday, November 02, 2012 | Last modified Monday, October 27, 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.