Lessons of a recession for transport demand modelling

2009 ◽  
Author(s):  
L.G. Willumsen ◽  
A. Liu
Keyword(s):  
Demand Modelling ◽  
Transport Demand Modelling

scholarly journals The imperative for commodity-based intermodal freight transport demand modelling: a South African case study

2014 ◽  
Vol 12 (1) ◽  
pp. 193-202
Author(s):  
Jan Hendrik Havenga ◽  
Zane P. Simpson ◽  
Anneke de Bod
Keyword(s):  
South Africa ◽  
South African ◽  
Freight Transport ◽  
Container Terminals ◽  
Market Segments ◽  
Demand Modelling ◽  
Intermodal Freight ◽  
Transport Demand Modelling

Container forecasting typically focuses on its intermodal nature, container sizes and port container terminals. This leads to a commodity-blind approach to container forecasting, where the twenty-foot-equivalent is the forecasting output. The standardized unit is also increasing into many non-standard forms, indicated by the three main container market segments. This research deconstructs these segments and provides methodological and actual commodity-based container forecasting results for South Africa where intermodal solutions are still in its infancy and investments need to be made based on accurate forecasting

Freight Transport Demand Modelling

2015 ◽  
pp. 39-54
Author(s):  
Carina Thaller ◽  
Benjamin Dahmen ◽  
Gernot Liedtke ◽  
Hanno Friedrich
Keyword(s):  
Freight Transport ◽  
Demand Modelling ◽  
Transport Demand Modelling

Valuing Freight Transport Time using Transport Demand Modelling: A Bibliographical Review

2011 ◽  
Vol 31 (5) ◽  
pp. 625-651 ◽  
Author(s):  
María Feo-Valero ◽  
Leandro García-Menéndez ◽  
Rodrigo Garrido-Hidalgo
Keyword(s):  
Freight Transport ◽  
Transport Time ◽  
Demand Modelling ◽  
Transport Demand Modelling

Enhancing active transport demand Modelling by incorporating accessibility measures

Cities ◽  
2018 ◽  
Vol 78 ◽  
pp. 206-215 ◽  
Author(s):  
Tayebeh Saghapour ◽  
Sara Moridpour ◽  
Russell G. Thompson
Keyword(s):  
Active Transport ◽  
Demand Modelling ◽  
Transport Demand Modelling

scholarly journals Simple macro aggregate transport demand modelling in river transport study

2018 ◽  
Vol 181 ◽  
pp. 12002
Author(s):  
R.Didin Kusdian
Keyword(s):  
Model Calculation ◽  
Choice Model ◽  
Road Transport ◽  
Aggregate Distribution ◽  
Transport Study ◽  
River Transport ◽  
Mode Choice Model ◽  
Sumatra Island ◽  
Demand Modelling ◽  
Transport Demand Modelling

Sustainability and development of river transport can reduce the burden of road transport, where the development of road transport requires clearing new land is increasingly expensive and development is quite expensive. To estimate the amount of potential movement of people and goods through river mode choice model can be derived based on a comparison of risk at each mode, whereby the greater the risk will be even smaller portion of the mode selected. From the results of the model calculation of the aggregate distribution modes, obtained through a portion of the potential movement of the Batang Hari river in Jambi, Sumatra Island, Indonesia is 13, 89% for the movement of people and 14.85% for goods.

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