Models coupling urban growth and transportation network growth: An algorithmic systematic review approach
Résumé
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.
Domaines
Géographie
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30-1-35-1-10-20170930.pdf (449.4 Ko)
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ECTQG20150907_Raimbault_AlgoSR.pdf (486.73 Ko)
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