scholarly journals Dynamics of intermodal logistical systems on containerisation and road transportation in Durban, South Africa

2014 ◽  
Vol 8 (1) ◽  
Author(s):  
Nerissa Govender ◽  
Thokozani P. Mbhele
Keyword(s):  
South Africa ◽  
Freight Transport ◽  
Transport Network ◽  
Road Transportation ◽  
Logistics System ◽  
Global Competitiveness ◽  
Road Freight ◽  
Intermodal Logistics ◽  
Road Freight Transportation ◽  
The Impact

The underlying port operations in Durban, South Africa, epitomise intense global competitiveness in the intermodal logistics chain. The link between containerisation and theroad transport network can falter as a result of the dynamics of the logistics system. The main objective of the study was to establish the extent of the intermodal challenges of logistical systems on containerisation to which the role of intermodal sea–road freight transportation enhances the logistical competitiveness. It further examined the intermodal relationship on containerised freight between the challenges of containerisation processes and the effects on road freight transport mode. The impact of containerisation on intermodalism, the sea–road freight transport network and the technological attributes of security-based systems and logistical tracking protocols influence the systematic movement of containers on Durban’s public roads.

scholarly journals Correlation Analysis of Road Freight Transport and Economic Development in Shaanxi Province

2020 ◽  
Vol 4 (2) ◽  
pp. p60
Author(s):  
Yuhan Li ◽  
Zhuang Chen
Keyword(s):  
Economic Development ◽  
Unit Root Test ◽  
Freight Transportation ◽  
Shaanxi Province ◽  
The Road ◽  
Integration Test ◽  
Road Freight ◽  
Development Evaluation ◽  
Road Freight Transportation ◽  
The Impact

Based on the data from 1987-2017 of the Statistical Yearbook of Shaanxi Province, this paper selects Shaanxi Road freight transportation evaluation indicators and economic development evaluation indicators, and uses the method of co-integration test and ADF unit root test to determine whether there is a long-term equilibrium relationship between the indicators. Through the establishment of VAR model and analysis, it demonstrates the impact of road freight transportation on economic development in Shaanxi Province. Based on the impulse impact between the road freight transportation and economic development in Shaanxi Province, the correlation between road freight transportation and economic development in Shaanxi Province is analyzed and studied to provide suggestions for the coordinated development of road freight transportation and economy in Shaanxi Province.

scholarly journals A heavy goods vehicle fleet forecast for South Africa

2018 ◽  
Vol 12 ◽  
Author(s):  
Jan H. Havenga ◽  
Phillippus P.T. Le Roux ◽  
Zane P. Simpson
Keyword(s):  
Freight Transport ◽  
Modal Shift ◽  
Long Distance ◽  
Forecast Period ◽  
Future Possibility ◽  
Road Freight ◽  
Vehicle Fleet ◽  
Road Corridors ◽  
The Impact ◽  
Country Specific

Purpose: To develop and apply a methodology to calculate the heavy goods vehicle fleet required to meet South Africa’s projected road freight transport demand within the context of total surface freight transport demand.Methodology: Total freight flows are projected through the gravity modelling of a geographically disaggregated input–output model. Three modal shift scenarios, defined over a 15-year forecast period, combined with road efficiency improvements, inform the heavy goods vehicle fleet for different vehicle types to serve the estimated future road freight transport demand.Findings: The largest portion of South Africa’s high and growing transport demand will remain on long-distance road corridors. The impact can be moderated through the concurrent introduction of domestic intermodal solutions, performance-based standards in road freight transport and improved vehicle utilisation. This presupposes the prioritisation of collaborative initiatives between government, freight owners and logistics service providers.Research limitations: (1) The impact of short-distance urban movements on fleet numbers is not included yet. (2) Seasonality, which negatively influences bi-directional flows, is not taken into account owing to the annual nature of the macroeconomic data. (3) The methodology can be applied to other countries; the input data are however country-specific and findings can therefore not be generalised. (4) The future possibility of a reduction in absolute transport demand through, for example, reshoring have not been modelled yet.Practical implications: Provides impetus for the implementation of domestic intermodal solutions and road freight performance-based standards to mitigate the impact of growing freight transport demand.Societal implications: More efficient freight transport solutions will reduce national logistics costs and freight-related externalities.Originality: Develops a methodology for forecasting the heavy goods vehicle fleet within the context of total freight transport to inform government policy and industry actions.

scholarly journals Rail and road freight transport network efficiency of Canada, member states of the EU, and the USA

2018 ◽  
Vol 28 ◽  
pp. 54-65
Author(s):  
Bart Wiegmans ◽  
Alex Champagne-Gelinas ◽  
Samuël Duchesne ◽  
Brian Slack ◽  
Patrick Witte
Keyword(s):  
Freight Transport ◽  
Transport Network ◽  
Network Efficiency ◽  
Member States ◽  
Road Freight ◽  
The Usa ◽  
The Eu

Developing “Extra Distance” as a measure for the evaluation of road freight transport performance

2014 ◽  
Vol 63 (7) ◽  
pp. 822-840 ◽  
Author(s):  
Vasco Sanchez Rodrigues ◽  
John Cowburn ◽  
Andrew Potter ◽  
Mohamed Naim ◽  
Anthony Whiteing
Keyword(s):  
Case Studies ◽  
Distance Measure ◽  
Distribution Networks ◽  
Freight Transport ◽  
Performance Measure ◽  
Primary Case ◽  
Content Type ◽  
Industrial Sectors ◽  
Road Freight ◽  
The Impact

Purpose – The purpose of this paper is to develop a measure that links the causes and consequences of disruptions in freight transport operations. Such a measure is needed to quantify the scale of impact and identify the root causes of disruptions. Design/methodology/approach – In order to develop this measure, an inductive approach was adopted, using four primary case studies to test the measure in an industrial environment. The case studies are from the fast moving consumer goods sector with primary and secondary distribution networks included. The “Extra Distance” measure has been evaluated against established generic criteria that define the quality of any performance measure. Findings – The research indicates good compliance with the criteria used to evaluate the “Extra Distance” measure. The measure is also found to be useful for practitioners who are able to directly relate the measure to their distribution network operations. Research limitations/implications – Further research should see the “Extra Distance” measure further tested in other freight transport operations and industrial sectors. Practical implications – The measure is directly related to a number of causes of uncertainty which helps freight transport managers to quickly identify potential solutions. The “Extra Distance” measure can be used to quantify the effects of disruptions which can occur in road freight transport networks generate unnecessary cost within distribution networks, potentially eroding profit margins which are known to be very low in the road freight transport industry. Originality/value – This paper presents a novel approach to the assessment of the impact caused by uncertainty within freight transport operations.

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