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    Freight Transport Modeling in Emerging Countries

    AvKourounioti,Ioann,Ioanna Kourounioti

    Häftad, Engelska, 2020

    Del i serien World Conference on Transport Research Society

    1 265 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Freight Transport Modeling in Emerging Countries examines freight transport models developed in emerging countries including Turkey, South Africa, India, Chile, and more. It provides a toolbox of successful freight transport model applications, alternative data collection methods, and evaluation techniques for the development of future policies. The book offers solutions for issues related to the urban, national, and international transportation of goods and examines new advances in freight transport models and data collection techniques and their applications in emerging countries.

    Emerging countries have unique transport-related policies, regulatory structures, logistics systems, and long-term uncertainties that hinder their economic development. This book tackles these issues by examining decision-making models for locating logistics sites such as ports and distribution centers, modeling urban freight movements in megacities and port cities, using existing datasets to get information when data is not available, implementing policies related to the national and international movements of goods, and more.



    • Includes a wide variety of opinions and approaches from subject matter experts around the world
    • Utilizes a case-based approach
    • Includes a range of learning tools that feature chapter openers, end of chapter questions, a glossary, and more
    • Examines new advances in freight transport models and data collection techniques

    Produktinformation

    • Utgivningsdatum:2020-10-16
    • Mått:152 x 229 x 24 mm
    • Vikt:480 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:World Conference on Transport Research Society
    • Antal sidor:294
    • Förlag:Elsevier Science
    • ISBN:9780128212684

    Utforska kategorier

    • Fordon inom Sport, fritid och hobby
    • Transportindustri inom Ekonomi och Ledarskap

    Mer om författaren

    Ioanna Kourounioti, Technical Expert, Smart Freight Centre in Amsterdam. She researches the behavior between the different actors of the supply chain and has co-authored more than 20 scientific publications. Lóri Tavasszy (1967) is full professor in Freight & Logistics Systems at Delft University of Technology, The Netherlands. He has been with the Dutch national research institute TNO between 1996 and 2016, with several university assignments since 2004. He has published widely about freight transport modelling research topics, including the Elsevier textbook Modelling Freight Transport. Prof. Tavasszy is active in several US Transportation Research Board committees and chairs the scientific committee of the World Conference on Transport Research Society (WCTRS). He has developed innovation roadmaps on freight corridors, the physical internet and zero-emission logistics within the European Technology Platform ALICE and on freight transport modelling with the Dutch Road and Waterways Authority Rijkswaterstaat Hanno Friedrich, Assistant Professor of Freight Transportation - Modelling and Policy at Kühne Logistics University. He researches freight transport demand modelling, transport economics, risk management in transport and logistics, and food logistics.

    Innehållsförteckning

    • 1. Introduction2. Issues in Freight Transport Modelling for Developing Countries3. Regional Freight Transport Modelling4. A methodology for disaggregated national freight demand modelling in emerging economies5. Disaggregated national freight demand modelling in emerging economies: 6. Stakeholder consultation in freight transportation decision making in port cities 7. Freight Modelling and Policy Analysis for Megacities8. Belt and road: more competition between sea and rail? A generalized cost approach 9. Re-Designing the Maritime Transport Network 10. Large-scale facility development to support logistics activity in urban areas11. Application of aggregate data to predict container terminal daily workload12. Tax revenue data processing for modelling13. Conclusions