首页    期刊浏览 2024年07月09日 星期二
登录注册

文章基本信息

  • 标题:Commuting Network Models: Getting the Essentials
  • 本地全文:下载
  • 作者:Floriana Gargiulo ; Maxime Lenormand ; Sylvie Huet
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2012
  • 卷号:15
  • 期号:2
  • 页码:1-19
  • DOI:10.18564/jasss.1964
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:Human mobility and, in particular, commuting patterns have a fundamental role in understanding socio-economic systems. Analysing and modelling the networks formed by commuters, for example, has become a crucial requirement in studying rural areas dynamics and to help decision-making. This paper presents a simple spatial interaction commuting model with only one parameter. The proposed algorithm considers each individual who wants to commute, starting from their residence to all the possible workplaces. The algorithm decides the location of the workplace following the classical rule inspired from the gravity law consisting of a compromise between the job offers and the distance to the job. The further away the job is, the more important the offer should be to be considered for the decision. Inversely, the quantity of offers is not important for the decision when these offers are close by. The presented model provides a simple, yet powerful approach to simulate realistic distributions of commuters for empirical studies with limited data availability. The paper also presents a comparative analysis of the structure of the commuting networks of the four European regions to which we apply our model. The model is calibrated and validated on these regions. The results from the analysis show that the model is very efficient in reproducing most of the statistical properties of the network given by the data sources.
  • 关键词:Commuting Patterns; Network Generation Models; Individual Based Models; Stochastic Models
国家哲学社会科学文献中心版权所有