Macroscopic Analysis of Modal Split in Municipalities Using Bayesian Clustering Decision Support Tool for Transport Infrastructure Development

2017 ◽  
Author(s):  
Jiří Čarský ◽  
◽  
Petr Šatra ◽  
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Transport Infrastructure ◽  
Bayesian Clustering ◽  
Infrastructure Development ◽  
Support Tool ◽  
Modal Split ◽  
Macroscopic Analysis

Using a transport portfolio framework to reduce carbon footprint

2015 ◽  
Vol 26 (2) ◽  
pp. 296-312 ◽  
Author(s):  
Kristina Liljestrand ◽  
Martin Christopher ◽  
Dan Andersson
Keyword(s):  
Decision Support ◽  
Carbon Footprint ◽  
Quantitative Methods ◽  
Decision Support Tool ◽  
Load Factor ◽  
Theoretical Frameworks ◽  
Substantial Impact ◽  
Content Type ◽  
Support Tool ◽  
Modal Split

Purpose – The purpose of this paper is to develop a transport portfolio framework (TPF) and explore its use as a decision support tool for shippers wanting to improve their transport system in terms of reducing their carbon footprint. Design/methodology/approach – The TPF has been designed on the basis relevant theoretical frameworks in logistics and thereafter tested and further developed by the use of empirical data from a case study. Quantitative methods are used to find patterns in the shipment statistics for import flows obtained from a food retailer and carriers. Findings – The TPF highlights different avenues for decreasing the carbon footprint, by identifying the product flow characteristics that might affect modal split and load factor, and it is believed that these can help shippers’ intent on analysing the largest potential for improvement. This potential is estimated based on how the key variables, modal split and load factor, can be improved. Practical implications – Shippers can use the TPF as a decision support tool in their efforts to reduce their carbon footprint by: structuring complexity, managing data and finding effective solutions. Social implications – Reducing emissions is an increasingly important priority for shippers and the TPF helps them to direct their efforts towards approaches that have a substantial impact. Originality/value – The TPF provides an opportunity to match different approaches for improving the environmental performance with the potential for reducing carbon footprint in shippers’ transportation networks, by taking into account the complexity of logistics network.

A Decision Support Tool for Evaluating Big Data Investment in Transport: Empirical evidence from European use cases of NOESIS project

2020 ◽  
Author(s):  
Christos Katrakazas ◽  
Natalia Sobrino ◽  
Ilias Trochidis ◽  
Jose Manuel Vassallo ◽  
Stratos Arampatzis ◽  
...  
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Empirical Evidence ◽  
Decision Support Tool ◽  
Use Cases ◽  
Support Tool
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