To enhance the validity of a mobility emission-effects model, a research is conducted on consumer behaviour. Consumer mobilitypreferences are the main determining factor in the proposed model that describes the kilometre and emission outcome under several scenarios. Motorized mobility of consumers buying fashion in shopping areas cause more kilometres in the network and subsequently more emission than when the fashion is bought online and the delivery is done by the parcel delivery services.The model provides an indication of best practice: if consumers change their shopping preferences they reduce emission and they also enable the PDSs to optimize their delivery operations
Road freight transport contributes to 75% of the global logistics CO2 emissions. Various European initiatives are calling for a drastic cut-down of CO2 emissions in this sector [1]. This requires advanced and very expensive technological innovations; i.e. re-design of vehicle units, hybridization of powertrains and autonomous vehicle technology. One particular innovation that aims to solve this problem is multi-articulated vehicles (road-trains). They have a smaller footprint and better efficiency of transport than traditional transport vehicles like trucks. In line with the missions for Energy Transition and Sustainability [2], road-trains can have zero-emission powertrains leading to clean and sustainable urban mobility of people and goods. However, multiple articulations in a vehicle pose a problem of reversing the vehicle. Since it is extremely difficult to predict the sideways movement of the vehicle combination while reversing, no driver can master this process. This is also the problem faced by the drivers of TRENS Solar Train’s vehicle, which is a multi-articulated modular electric road vehicle. It can be used for transporting cargo as well as passengers in tight environments, making it suitable for operation in urban areas. This project aims to develop a reverse assist system to help drivers reverse multi-articulated vehicles like the TRENS Solar Train, enabling them to maneuver backward when the need arises in its operations, safely and predictably. This will subsequently provide multi-articulated vehicle users with a sustainable and economically viable option for the transport of cargo and passengers with unrestricted maneuverability resulting in better application and adding to the innovation in sustainable road transport.
A number of universities of applied sciences do a lot of research in the field of sustainable last mile logistics. Collaboration and coordination take place through joint projects or through seminars. However, this collaboration could be more structured so that researchers can always take full advantage of each other's knowledge and are not dependent on having or not having joint projects or seminars. This also concerns the question of how these studies can gain extra added value through joint programming (this can partly be done in the development of a tool/benchmark, see previous point), but also in having and getting research and knowledge from the different regions. Within the new research agenda of the Logistics Knowledge Agreement (the lectors platform of the CoE KennisDC Logistics), urban logistics has been named as one of the four core themes on which the involved universities of applied sciences want to collaborate across regions. In addition, there is only limited cooperation in the field of education around the theme of “urban logistics”. Students who want to graduate in urban logistics or do internships must therefore first learn a lot.
Lastmile.info contributes to livable urban environments and efficient deliveries. LastMile.info is set to become the essential platform for finding and monitoring all the necessary information so that you can optimally plan and execute the final stage of the route during store deliveries:> Clear overview of regulations (such as restrictions and time windows)> Shorter waiting times: reduced financial and environmental burden> Greater driver satisfaction thanks to insight into delivery locations
