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. It was published as a special issue of the International Journal of Urban Sciences.
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. It was published as a special issue of the International Journal of Urban Sciences.
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.
Inhaltsangabe
1. Introduction 2. Application of exact route optimization for the evaluation of a city logistics truck ban scheme 3. Ontology-based multi-agent system for urban freight transportation 4. Multi-agent systems modelling approach to evaluate urban motorways for city logistics 5. A location-based accessibility analysis to estimate the suitability of urban consolidation facilities 6. City logistics through the canals? A simulation study on freight waterborne transport in the inner-city of Amsterdam 7. City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems 8. Model of debris collection operation after disasters and its application in urban area 9. London 2012: changing delivery patterns in response to the impact of the Games on traffic flows 10. Developing a local research strategy for city logistics on an academic campus 11. Collaboration in urban logistics: motivations and barriers 12. An estimation of freight flow using secondary data: a case study in Belo Horizonte (Brazil)
1. Introduction 2. Application of exact route optimization for the evaluation of a city logistics truck ban scheme 3. Ontology-based multi-agent system for urban freight transportation 4. Multi-agent systems modelling approach to evaluate urban motorways for city logistics 5. A location-based accessibility analysis to estimate the suitability of urban consolidation facilities 6. City logistics through the canals? A simulation study on freight waterborne transport in the inner-city of Amsterdam 7. City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems 8. Model of debris collection operation after disasters and its application in urban area 9. London 2012: changing delivery patterns in response to the impact of the Games on traffic flows 10. Developing a local research strategy for city logistics on an academic campus 11. Collaboration in urban logistics: motivations and barriers 12. An estimation of freight flow using secondary data: a case study in Belo Horizonte (Brazil)
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