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Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems

Raimbault, J; Le Néchet, F; (2021) Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems. Journal of Transport Geography , 94 , Article 103115. 10.1016/j.jtrangeo.2021.103115.

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Abstract

Models focusing on interactions between land-use and transportation mostly assume an exogenous provision of transportation infrastructures. We investigate here co-evolutionary processes between land-use and transportation, at the scale of Mega-City Regions, by introducing a toy model of corresponding processes. In particular, our model is specifically tailored to include governance processes ruling the growth of transportation infrastructure. We show through stylised numerical simulations the potentialities of our model to reproduce a variety of dynamics when co-evolution is taken into account. We then apply the model to a case study, by calibrating it for the Pearl River Delta Mega-city Region (China, 1990–2010). To go beyond this first modelling step, we elaborate on the challenges to overcome to go further towards more complex models integrating co-evolution between transportation networks and territories in urban systems.

Type: Article
Title: Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems
DOI: 10.1016/j.jtrangeo.2021.103115
Publisher version: https://doi.org/10.1016/j.jtrangeo.2021.103115
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Land-use transport interactions, Co-evolution, Transportation planning, Mega-city regions, Polycentricity
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10130790
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