A methodology for assessing the urban supply of on-street delivery bays

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

“…For service pattern 3, the scenario changes: in this case, the LCVs are used for the delivery, while the cargo e-bikes are used for installation and pick-up. Thus, two optimization problems to be solved in series are defined: the first one is related to the LCVs (Equtaion ( 9)) and the second one takes into account the use of cargo e-bikes for installation operations and package pick-up (Equtaion (10)).…”

“…Manufacturing and service companies in various sectors are trying to make their supply chains green in two ways: by optimizing processes and using green technologies such as electric vehicles [9]. In this context, previous research that focuses on the electrification of freight vehicles pointed out restocking and e-commerce delivery trips, although other commercial trips, such as those related to service activities in urban areas, have a significant impact [10,11]. Commercial trips include the vehicle traffic generated by freight pick-ups and deliveries and service visits to establishments, as well as those for installation, maintenance, repair and reverse logistics.…”

Urban Courier Delivery in a Smart City: The User Learning Process of Travel Costs Enhanced by Emerging Technologies

“…As mentioned, finding suitable onstreet loading zones can take a lot of extra time and have a bigger impact on traffic in terms of congestion, accidents, accessibility, and pollution emissions. The e-ICTs can support couriers to book delivery bays [16,17], considering that the more frequently territorial public administrations introduce time windows that are specific to different classes of vehicles [39], and then they need to organize a dynamic queue. Therefore, there is a need to determine the best delivery bay, which will allow one to minimize the delivery route (times) considering the dynamic slots open and considering that delivery bays are frequently used by couriers to serve many clients at once (Figure 2).…”

“…In addition, the contribution to managing payments is very relevant, including home deliveries. Therefore, Equation (17), specified for the route belonging to set W, can be updated as follows:…”

“…Currently, when delivering products, couriers frequently encounter traffic jams and delays entering on-street loading/unloading zones (delivery bays) [15], which also has a growing impact on traffic. In addition, truck drivers often lack knowledge and experience about the availability of loading and unloading zones, and in inner-city locations with many one-way streets and narrow streets, couriers and carriers sometimes make inefficient deliveries [13,16,17]. Distribution productivity is affected by the amount of time spent driving, unloading, and walking [14,18], as well as the length of the routes.…”