Computational Model Library

This release is out-of-date. The latest version is 1.0.0

Retail Competition Agent-based Model (version 2020.11.27)

The Retail Competition Agent-based Model (RC-ABM) is designed to simulate the retail competition system in the Region of Waterloo, Ontario, Canada, which which explicitly represents store competition behaviour. Through the RC-ABM, we aim to answer 4 research questions: 1) What is the level of correspondence between market share and revenue acquisition for an agent-based approach compared to a traditional location-allocation-based approach? 2) To what degree can the observed store spatial pattern be reproduced by competition? 3) To what degree are their path dependent patterns of retail success? 4) What is the relationship between retail survival and the endogenous geographic characteristics of stores and consumer expenditures?

Release Notes

This is just a draft version of the RC-ABM with few comments and supplementary documents.

Version Submitter First published Last modified Status
2020.11.27 Jiaxin Zhang Sun Jan 3 19:59:48 2021 Sun Jan 3 19:59:48 2021 Published
1.0.0 Jiaxin Zhang Wed Nov 10 02:38:08 2021 Wed Nov 10 02:38:08 2021 Published


This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.