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Enhancing population localization through assignement of buildings to census grids
Kerff, Alexandre; Weymeirsch, Jan; Dumont, Morgane et al.
202624th Conference of the International Federation of Operational Research Societies
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Keywords :
microsimulation; grid-cell assignement; Combinatorial Optimization; Optimization Models and Methods; Mixed Integer Programming; Generalized assignment problem; Geo-referencing
Abstract :
[en] Dynamic spatial microsimulations project individuals over time and space. The German model Mikrosim currently represents populations at the regional level but would benefit from assigning households to individual buildings. As no complete building database exists, data from multiple sources must be combined to build a coherent dataset of building locations, areas, and capacities. We model the geo-referencing of buildings to census grids under constraints as an optimization problem and present mathematical formulations and solution approaches.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Kerff, Alexandre ;  Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Weymeirsch, Jan
Dumont, Morgane  ;  Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Vandomme, Elise  ;  Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Language :
English
Title :
Enhancing population localization through assignement of buildings to census grids
Publication date :
July 2026
Event name :
24th Conference of the International Federation of Operational Research Societies
Event place :
Vienna, Austria
Event date :
From July 12 to July 17, 2026
Audience :
International
Peer review/Selection committee :
Editorial reviewed
Available on ORBi :
since 31 March 2026

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