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A state-of-the-art modeling framework to improve congestion by changing the configuration/enforcement of urban logistics loading/unloading bays

Title
A state-of-the-art modeling framework to improve congestion by changing the configuration/enforcement of urban logistics loading/unloading bays
Type
Article in International Conference Proceedings Book
Year
2014
Authors
Alho, A
(Author)
Other
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de Abreu e Silva, JDE
(Author)
Other
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Jorge Pinho de Sousa
(Author)
FEUP
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Conference proceedings International
Other information
Authenticus ID: P-009-GKW
Abstract (EN): Systematic 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. (C) 2013 The Authors. Published by Elsevier Ltd.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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