A multi-scale fine-grained LUTI model to simulate land use scenarios in Luxembourg
Philippe Gerber
LISER - Luxembourg Institute of Socio-Economic Research, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
http://orcid.org/0000-0003-2324-5708
Geoffrey Caruso
Université du Luxembourg, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
http://orcid.org/0000-0001-9538-2328
Eric Cornelis
Université de Namur, Rue de Bruxelles 61, 5000 Namur, Belgique
Cyrille Médard de Chardon
Université catholique de Louvain: Louvain-la-Neuve, Belgique
Université du Luxembourg, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
http://orcid.org/0000-0003-4920-3047
DOI:
https://doi.org/10.5198/jtlu.2018.1187
Keywords:
LUTI, microsimulation, agent-based model, multiscale, migration
Abstract
The increasing attractiveness of Luxembourg as a place to work and live
puts its land use and transport systems under high pressure. Understanding how the country can accommodate residential growth and additional traffic in a sustainable manner is a key and difficult challenge that requires a policy relevant, flexible and responsive modelling framework. We describe the first fully-fletched land use and transport interaction framework (MOEBIUS) applied to the whole of Luxembourg. We stress its multi-scalar nature and detail the articulation of two of its main components: a dynamic demographic microsimulation at the scale of individuals and a micro-spatial scale simulation of residential choice. Conversely to traditional zone-based approaches, the framework keeps full details of households and individuals for residential and travel mode choice, making the model highly consistent with theory. In addition, results and policy constraints are implemented at a very fine resolution (20m) and can thus incorporate local effects (residential externalities, local urban design). Conversely to fully disaggregated approaches, a linkage is organized at an intermediate scale, which allows (i) to simplify the generation and spatial distribution of trips, (ii) to parallelise parts of the residential choice simulation, and (iii) to ensure a good calibration of the population and real estate market estimates. We show model outputs for different scenarios at the horizon 2030 and compare them along sustainability criteria.
Author Biographies
Philippe Gerber, LISER - Luxembourg Institute of Socio-Economic Research, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
Urban Development and Mobility Department
Senior Researcher, Head of Unit
Geoffrey Caruso, Université du Luxembourg, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
Associate Professor, Institute of Geography and Spatial Planning
Eric Cornelis, Université de Namur, Rue de Bruxelles 61, 5000 Namur, Belgique
Senior Research Associate, naXys, Transportation Research Group (GRT)
Cyrille Médard de Chardon, Université catholique de Louvain: Louvain-la-Neuve, Belgique
Université du Luxembourg, Maison des Sciences Humaines, Esch-sur-Alzette, Luxembourg
Doctoral Canditate
