Models coupling urban growth and transportation network growth: An algorithmic systematic review approach

  • Juste Raimbault UMR CNRS 8504 Géographie-cités and UMR-T IFSTTAR 9403 LVMT

Abstract

A broad bibliographical study suggests a scarcity of quantitative models of simulation integrating both network and urban growth. This absence may be due to diverging interests of concerned disciplines, resulting in a lack of communication.  We propose to proceed to an algorithmic systematic review to give quantitative elements of answer to this question. A formal iterative algorithm to retrieve corpuses of references from initial keywords, based on text-mining, is developed and implemented. We study its convergence properties and do a sensitivity analysis. We then apply it on queries representative of the specific question, for which results tend to confirm the assumption of disciplines compartmentalisation.

Published
2017-09-30
How to Cite
RAIMBAULT, Juste. Models coupling urban growth and transportation network growth: An algorithmic systematic review approach. Plurimondi, [S.l.], n. 17, sep. 2017. ISSN 2420-921X. Available at: <http://plurimondi.poliba.it/index.php/Plurimondi/article/view/30>. Date accessed: 14 oct. 2019.