A stochastic and flexible activity based model for large population. Application to Belgium

Research output: Contribution to journalArticle

62 Downloads (Pure)

Abstract

The Virtual Belgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The work presented in this paper focuses only on the mobility behavior of such large populations and this is simulated using an activity-based approach in which the travel demand is derived from the activities performed by the individuals. The proposed model is distribution-based and requires only minimal information, but is designed to easily take advantage of any additional network-related data available. The proposed activity-based approach has been applied to the Belgian synthetic population. The quality of the agent behavior is discussed using statistical criteria extracted from the literature and results show that Virtual Belgium produces satisfactory results.

Original languageEnglish
JournalJournal of Artificial Societies and Social Simulation
Volume18
Issue number3
Publication statusPublished - 1 Jun 2015

Fingerprint

Belgium
Belgian
simulation
municipality
travel
demand

Keywords

  • Activity chains
  • Large population simulation
  • Micro-simulation
  • Nationwide model
  • Non geo-localized data
  • Transport demand forecasting

Cite this

@article{e1a71ba7f5234bc0bfe5d4cd4387b4be,
title = "A stochastic and flexible activity based model for large population. Application to Belgium",
abstract = "The Virtual Belgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The work presented in this paper focuses only on the mobility behavior of such large populations and this is simulated using an activity-based approach in which the travel demand is derived from the activities performed by the individuals. The proposed model is distribution-based and requires only minimal information, but is designed to easily take advantage of any additional network-related data available. The proposed activity-based approach has been applied to the Belgian synthetic population. The quality of the agent behavior is discussed using statistical criteria extracted from the literature and results show that Virtual Belgium produces satisfactory results.",
keywords = "Activity chains, Large population simulation, Micro-simulation, Nationwide model, Non geo-localized data, Transport demand forecasting",
author = "Johan Barthelemy and Philippe Toint",
year = "2015",
month = "6",
day = "1",
language = "English",
volume = "18",
journal = "Journal of Artificial Societies and Social Simulation",
issn = "1460-7425",
publisher = "University of Surrey",
number = "3",

}

TY - JOUR

T1 - A stochastic and flexible activity based model for large population. Application to Belgium

AU - Barthelemy, Johan

AU - Toint, Philippe

PY - 2015/6/1

Y1 - 2015/6/1

N2 - The Virtual Belgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The work presented in this paper focuses only on the mobility behavior of such large populations and this is simulated using an activity-based approach in which the travel demand is derived from the activities performed by the individuals. The proposed model is distribution-based and requires only minimal information, but is designed to easily take advantage of any additional network-related data available. The proposed activity-based approach has been applied to the Belgian synthetic population. The quality of the agent behavior is discussed using statistical criteria extracted from the literature and results show that Virtual Belgium produces satisfactory results.

AB - The Virtual Belgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The work presented in this paper focuses only on the mobility behavior of such large populations and this is simulated using an activity-based approach in which the travel demand is derived from the activities performed by the individuals. The proposed model is distribution-based and requires only minimal information, but is designed to easily take advantage of any additional network-related data available. The proposed activity-based approach has been applied to the Belgian synthetic population. The quality of the agent behavior is discussed using statistical criteria extracted from the literature and results show that Virtual Belgium produces satisfactory results.

KW - Activity chains

KW - Large population simulation

KW - Micro-simulation

KW - Nationwide model

KW - Non geo-localized data

KW - Transport demand forecasting

UR - http://www.scopus.com/inward/record.url?scp=84934784585&partnerID=8YFLogxK

M3 - Article

VL - 18

JO - Journal of Artificial Societies and Social Simulation

JF - Journal of Artificial Societies and Social Simulation

SN - 1460-7425

IS - 3

ER -