A new Model of City Growth and its Application to a middle sized French City
Athanasios Batakis, Thi-Thuy-Nga Nguyen, Michel Zinsmeister

TL;DR
This paper introduces a novel percolation-based theoretical model of city growth and demonstrates its practical application to the French city of Montargis, highlighting computational efficiency with big data integration.
Contribution
It presents a new city growth model based on percolation theory and applies it to a real city, showcasing its efficiency and potential for big data analysis.
Findings
Model effectively simulates city growth dynamics
Algorithm handles large datasets efficiently
Application to Montargis demonstrates practical utility
Abstract
In the first part of this paper we propose a new theoretical model of city growth based on percolation. The second half oh the paper is devoted to a concrete application of the model, namely to the city of Montargis. It appears that the embedded algorithm is quite efficient in terms of computational time and allows to exploit big data type ressources such as individual land lots.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRegional Economics and Spatial Analysis · Land Use and Ecosystem Services · Regional Economic and Spatial Analysis
