Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
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
Freight transportation researchers and graduate students. Freight transportation policy makers, practitioners
2. Issues in Freight Transport Modelling for Developing Countries
3. Regional Freight Transport Modelling
4. A methodology for disaggregated national freight demand modelling in emerging economies
5. 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 Megacities
8. 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 areas
11. Application of aggregate data to predict container terminal daily workload
12. Tax revenue data processing for modelling
- No. of pages:
- © Elsevier 2021
- 16th October 2020
- Paperback ISBN:
- eBook ISBN:
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.
PostDoctoral Researcher, Delft University of Technology, Delft, The Netherlands
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
full Professor of Freight and Logistics Systems at Delft University of Technology, Delft, The Netherlands
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.
Associate Professor of Freight Transportation - Modelling and Policy, Kühne Logistics University, Hamburg, Germany
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.