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
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
In the autumn of 2020, an autonomous and electric delivery robot was deployed on the BUas campus for the distribution of goods. In addition to the actual field test of the robot, we conducted research into various aspects of autonomous delivery robots. In this contribution we discuss the test with the autonomous delivery robot itself, the adjustments we had to make because the campus was very quiet due to COVID-19 and therefore there was less to transport for the robot, and the perception of people. with regard to the delivery robot, on the possible future areas of application and on the learning experiences we have gained in the tests.
