Het intermodale transportsysteem vergeleken met het unimodale wegvervoer

The intermodal transport sector faces several bottlenecks, which often prevent it from operating as an alternative to unimodal road transport. In this paper, the bottlenecks preventing a further growth of the market share of the inland waterway/road transport are identified in terms of both financial and quality related parameters. The price of intermodal inland waterway transport as compared to road transport is analysed. A critica1 threshold distance is identified for the location of inland terminals. The bottlenecks related to poor intermodal quality are identified through a survey conducted with 45 sectorial experts. ANumber of policy measures that could eliminate these bottlenecks are identified.

Cooperative Decision Making : a methodology based on collective preferences aggregation

National audienceThe benefice of a collective decisions process mainly rests upon the possibility for the participants to confront their respective points of views. To this end, they must have cognitive and technical tools that ease the sharing of the reasons that motivate their own preferences, while accounting for information and feelings they should keep for their own. The paper presents the basis of such a cooperative decision making methodology that allows sharing information by accurately distinguishing the components of a decision and the steps of its elaboration

Sustainable consensus? the NISTO evaluation framework to appraise sustainability and stakeholder preferences for mobility projects

AbstractWhile sustainability of transport projects is of increasing importance, the concept of sustainability can be understood in many different ways by the stakeholders that are involved in or affected by mobility projects. In this paper, we compare the outcomes of the assessment of sustainability of projects through a multi-criteria analysis (MCA) and the appraisal of stakeholder preferences through the multi-actor multi-criteria analysis (MAMCA). Evaluating projects with both tools and comparing the outcomes can provide insight into the stakeholder support of sustainable solutions and the sustainability of alternatives preferred by stakeholders. The sustainability of projects is assessed through 16 criteria grouped under the three pillars of sustainability. They were selected by in-depth review of 16 case studies of mobility projects, 18 transport evaluation schemes and the ranking of potential criteria by 214 stakeholders in North-West Europe. These criteria were weighted by 93 representatives of decision makers in the mobility domain. Stakeholder preferences were appraised through the criteria identified for each stakeholder group. We illustrate the framework by evaluating alternative solutions to improve cycling connections between the towns of Tilburg and Waalwijk in the Netherlands. The results of the comparison show that stakeholder preferences are biased towards one or two of the sustainability pillars (economy, environment, society) in three ways: through the selection of the criteria by the stakeholders, the weights of each criterion by each stakeholder group and differences in the final ranking of alternatives between the stakeholder groups and the MCA

Smart and sustainable urban logistic applications aided by intelligent techniques

[EN] CO2-free urban logistics is one of the 10 objectives to reach by 2030 as part of transport policy. What technologies can help to accomplish it? In this paper, we discuss the very complex situation that today¿s big and modern cities are facing with a tremendous environment of many urban logistics companies running in the same city. In the majority of cases, there is less or none coordination among them worsening traffic congestions. We believe that intelligent techniques are one of the key approaches that can aid to support smart and sustainable urban logistic applications. There are large open problems in the field of cooperative urban logistics that can greatly improve with the help of artificial intelligence. Some solutions are cited in this paper, but the overall conclusion is that there is still much work to be done.Giret Boggino, AS. (2019). Smart and sustainable urban logistic applications aided by intelligent techniques. Service Oriented Computing and Applications (Online). 13(3):185-186. https://doi.org/10.1007/s11761-019-00271-zS185186133Market reports (2019) Global last mile delivery market size, status and forecast 2019–2025. The Market reports. Report code : 1362721, pp 1–114Xiao Z, Wang JJ, Lenzer J, Sun Y (2017) Understanding the diversity of final delivery solutions for online retailing: a case of Shenzhen, China. In: World conference on transport research—WCTR 2016 Shanghai. Transportation Research Procedia, vol 25, pp 985–998, 2017. 10–15 July 2016Gonzalez-Feliu J, Semet F, Routhier JL (2014) Sustainable urban logistics: concepts, methods and information systems. Springer, BerlinMacharis C, Melo S (2011) City distribution and urban freight transport: multiple perspectives. Edward Elgar Publishing, CheltenhamPagell M, Wu Z (2009) Building a more complete theory of sustainable supply chain management using case studies of 10 exemplars. J Supply Chain Manag 45:37–56Morana J, Gonzalez-Feliu J (2015) A sustainable urban logistics dashboard from the perspective of a group of operational managers. Manag Res Rev 38(10):1068–1085Gunasekaran A, Kobu B (2007) Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995–2004) for research and applications. Int J Prod Res 45:2819–2840Griffis SE, Goldsby TJ, Cooper M, Closs DJ (2007) Aligning logistics performance measures to the information needs of the firm. J Bus Logist 48:35–56Alonso-Mora J, Samaranayake S, Wallar A, Frazzoli E, Rus D (2017) On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment. Proc Natl Acad Sci 114(3):462–467Gentile G, Noekel K (2016) Modeling public transport passenger flows in the era of intelligent transport systems. Springer, BerlinNeirotti P, De Marco A, Cagliano AC, Mangano G, Scorrano F (2014) Current trends in smart city initiatives: some stylised facts. Cities 38:25–36Chatterjee R (2016) Optimizing last mile delivery using public transport with multiagent based control. Master thesis, pp 1–59Skiver RL, Godfrey M (2017) Crowdserving: a last mile delivery method for brickand—mortar retailers. Glob J Bus Res 11(2):67–77Brüning M, Schönewolf W (2011) Freight transport system for urban shipment and delivery. In: IEEE forum on integrated and sustainable transportation systems, Vienna, pp 136–14