City Logistics: Modelling, planning and evaluation

Author:   Eiichi Taniguchi (Kyoto University, Japan)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138885455


Pages:   198
Publication Date:   15 April 2015
Format:   Hardback
Availability:   In Print   Availability explained
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City Logistics: Modelling, planning and evaluation


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Overview

This volume on city logistics presents recent advances of modelling urban freight transport as well as planning and evaluating city logistics policy measures in the academic research areas and practices. The contributions of eleven chapters have come from eight countries, including Japan, UK, The Netherlands, Italy, France, Singapore, Indonesia, and Brazil. As city logistics aims at creating efficient and environmental-friendly urban freight transport systems, these chapters deal with challenging urban freight transport problems from various point of views of the usage of ITS (Intelligent Transport Systems), multi-agent modelling, public–private partnerships, and the disaster consideration. This book was published as a special issue of the International Journal of Urban Sciences.

Full Product Details

Author:   Eiichi Taniguchi (Kyoto University, Japan)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Dimensions:   Width: 17.40cm , Height: 1.80cm , Length: 24.60cm
Weight:   0.521kg
ISBN:  

9781138885455


ISBN 10:   1138885452
Pages:   198
Publication Date:   15 April 2015
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Eiichi Taniguchi is Professor of Transport and Logistics in Department of Urban Management, Kyoto University. His research centres on City Logistics and urban freight modelling. He developed vehicle routing and scheduling with time windows models and multi-agent models for evaluating city logistics policy measures.

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