首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays
  • 本地全文:下载
  • 作者:André Alho ; André Alho ; João de Abreu e Silva
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2014
  • 卷号:111
  • 页码:360-369
  • DOI:10.1016/j.sbspro.2014.01.069
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractSystematic ways to perform ex-ante analysis of urban freight good practices are still missing, deeming transferability efforts prone to failure. We critically analyze state-of-the-art freight modeling methodologies to optimize the configuration of loading/unloading bays, and the associated enforcement measures, quantifying congestion reductions. Existing models can poorly handle some crucial elements for this analysis. An alternative modeling framework is proposed, integrating simulation models and optimization strategies that take into account double-parking derived vehicle obstruction. The framework should lead to deeper insights, even in a low-data availability perspective, between what is regarded as good practices and a quantification of their potential; thus becoming a useful tool in the design and analysis of policies.
  • 关键词:Urban freight;City logistics;Modelling framework;Loading/unloading bays;Enforcement;Double parking;Congestion
国家哲学社会科学文献中心版权所有