Optimization of a city logistics transportation system with mixed passengers and goods

Abstract

International audienc

Network Planning Method for Capacitated Metro‐Based Underground Logistics System

“…erein, variables UFF and RA were obtained from Nathanail et al [33], who maintained that the urban traffic alleviation and the development of integrated transport to reduce the scattered freight delivery were two of the most remarkable characteristics of the sustainable city logistics. In our study, we took these two quantitative features as the functional requirements of the metro freight system, where UFF was formulated as the accumulated OD from different directions according to Masson et al [24] and RA was formulated as the accumulated delivery period from different directions divided by average path length according to Montoya-Torres et al [34]. SD was formulated as a variable that supplemented UFF with distance influence, which involved the data of spatial distance and freight OD from different directions.…”

“…Constraint (21) reflects the capacity restrictions of underground freight handling at UD; constraint (22) ensures that the capacity of metro lines are not violated; constraint (23) stipulates that the ULS terminal on a single metro line is unique, but the UDC can be assigned to different ULS terminals based on reality; constraint (24) guarantees that UD is connected to at least one ground terminal of which ownership is unique; constraint (25) specifies that the number of metro stations that are selected as underground depots equals y; and constraints (26)- (28) are the range of relevant decision variables.…”

“…if true then (23) return to line 4 (24) end if (25) Advances in Civil Engineeringe proposed solution algorithm was coded in MATLAB R2016, and all experiments were run on a desktop computer with Windows 10, Intel Core I7-7700K 4.2 GHz processor, and 32 GB of RAM. e initial population size p � 50 and maximum iteration number G max � 100.…”

“…Hörl et al and Masson et al conducted qualitative analyses of node location problem of single-line metro freight transport [23,24]. Fangting et al proposed a location-routing model of multiline transfer problem of M-ULS [25], which aimed at minimizing delivery time to improve the efficiency of metro freight.…”

From Managing Urban Freight to Smart City Logistics Networks

“…Particularly noticeable is the constant increase in home delivery activities (e.g., Ducret and Delatre, 2013;Visser et al, 2014) due to the significant increase in the volume of personal e-shopping, and the new two-tier services addressing the issue. Although still in the first stages of development, an associated trend concerns the utilization of private or public mass-transport modes: rail for freight or people bringing loads to a "central" station, light passenger rail, buses, and barges when canals are part of the city (e.g., Diziain et al, 2014;van Duin, 2013;Masson et al, 2015).…”