THE METHOD FOR EVALUATION OF EFFICIENCY OF THE CONCEPT OF CENTRALLY MANAGED DISTRIBUTION IN CITIES

The paper describes proecological solution dedicated for organizing logistics services in urban areas. Proposed solution is based on cross-docking processes combined with consolidation centres. Authors proposed new method of estimating economic and social benefits from implementing centrally managed cooperation of logistics operators using common city consolidation hubs. Developed mathematical model bases on Vehicle Routing Problem (VRP) with vehicles of different types, limited loading capacities and multiply depots characterized by limited throughput. Proposed approach was supported by case study of integration of distribution processes in Warsaw (Poland) performed by three medium-size logistics operators. The central management of distribution was investigated in variants assuming using existing warehouses and with new configuration of logistics network developed with using SIMMAG 3D tools. As it was proved for analysed case, total costs of distribution in the city after implementation of centrally managed distribution were reduced by 8.1% for variant with current depots and by 26.5% for variant with new logistics network, while emission of carbon monoxide (CO) was reduced respectively by 7.8 and 16.7%.

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How Does China’s New Consumption Era Reshape Residents’ Shopping Behaviors from the Perspective of Community in Hohhot, China

Sustainability ◽

10.3390/su13147599 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7599

Author(s):

Fangqu Niu ◽

Fang Wang

Keyword(s):

Urban Areas ◽

Structural Equation ◽

Field Survey ◽

Penetration Rate ◽

Equation Model ◽

New Era ◽

Different Types ◽

Variable Influence ◽

The City

In the new consumption era, the popularization and application of information technology has continuously enriched residents’ consumption channels, gradually reshaping their consumption concepts and shopping behaviors. In this paper, Hohhot is taken as a case study, using open-source big data and field survey data to theorize the characteristics and mechanism of residents’ shopping behaviors in different segments of consumers based on geography. First, communities were divided into five types according to their location and properties: main communities in urban areas (MCs), historical communities in urban areas (HCs), high-grade communities in the outskirts of the city (HGCs), mid-grade communities in urban peripheries (MGCs), and urban villages (UVs). On this basis, a structural equation model is used to explore the characteristics of residents’ shopping behaviors and their influencing mechanisms in the new consumption era. The results showed that: (1) The online shopping penetration rate of residents in UVs and HCs is lowest, and that of residents in HGC is highest. (2) The types of products purchased in online and offline shopping by different types of community show certain differences. (3) From the perspective of influencing mechanisms, residents’ characteristics directly affect their shopping behaviors and, indirectly (through the choice of community where they live and their consumption attitudes), their differences in shopping behaviors. Different properties of communities cannot directly affect residents’ shopping behaviors, but they can affect them indirectly by influencing consumption attitudes and then affect such behaviors. Typical consumption attitudes of the new era, such as shopping for luxuries and emerging consumption, have the most significant and direct influence on shopping behaviors, as well as an intermediate and variable influence.

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Collaborative Vehicle Routing Problem in the Urban Ring Logistics Network under the COVID-19 Epidemic

Mathematical Problems in Engineering ◽

10.1155/2021/5539762 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Wenjia Zheng ◽

Zhongyu Wang ◽

Liucheng Sun

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Mixed Integer ◽

Neighborhood Search ◽

Multicommodity Flow ◽

Integer Programming Problem ◽

Distribution Centers ◽

Routing Problem ◽

Logistics Network ◽

The City

This paper explored the problem of collaborative vehicle routing in the urban ring logistics network (Co-VRP-URLN) during the COVID-19 epidemic. According to the characteristics of urban distribution and the restriction of traffic all over China during this period, this study mainly considers a common distribution mode of order exchange through the outer ring of the city and then solves the vehicle routing problem of distribution, which belongs to a special multidepot vehicle routing problem with time windows. According to the definition of the problem, the corresponding mixed-integer programming problem of multicommodity flow is established, and the variable neighborhood search algorithm is designed in detail to solve it. The effectiveness of the algorithm is verified by a standard example, and the benefits of joint distribution are revealed through the improved standard example. At last, the influence of different distribution centers is compared. The results show that this model can significantly improve the distribution efficiency within the city under the restriction of traffic.

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THE VEHICLE ROUTING PROBLEM WITH STOCHASTIC DEMANDS IN AN URBAN AREA – A CASE STUDY

Facta Universitatis Series Mechanical Engineering ◽

10.22190/fume190318021m ◽

2020 ◽

Vol 18 (1) ◽

pp. 107

Author(s):

Danijel Marković ◽

Goran Petrovć ◽

Žarko Ćojbašić ◽

Aleksandar Stanković

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Real Problem ◽

Routing Problem ◽

Stochastic Demands ◽

Maximum Value ◽

The Given ◽

The City ◽

Vehicle Routes

The vehicle routing problem with stochastic demands (VRPSD) is a combinatorial optimization problem. The VRPSD looks for vehicle routes to connect all customers with a depot, so that the total distance is minimized, each customer visited once by one vehicle, every route starts and ends at a depot, and the travelled distance and capacity of each vehicle are less than or equal to the given maximum value. Contrary to the classical VRP, in the VRPSD the demand in a node is known only after a vehicle arrives at the very node. This means that the vehicle routes are designed in uncertain conditions. This paper presents a heuristic and meta-heuristic approach for solving the VRPSD and discusses the real problem of municipal waste collection in the City of Niš.

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A model for collection of Waste Electrical and Electronical Equipment in Metropolitan Area of Bucaramanga

Revista Facultad de Ingeniería Universidad de Antioquia ◽

10.17533/udea.redin.20191259 ◽

2020 ◽

pp. 110-117

Author(s):

Javier Arias-Osorio ◽

Ruben Darío Ríos-Mercado ◽

Ingrid Dayanna Tamayo-Morantes

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Programming Model ◽

Mixed Integer ◽

Solution Technique ◽

Second Phase ◽

Routing Problem ◽

Different Types ◽

Capacitated Vehicle

In this paper, a model for the collection of waste electrical and electronic equipment is designed based on a problem of location and vehicle routing. Two main phases are carried out: The localization phase, in which the WEEE collection points are defined from a series of potential points, involving the novelty about the assignment of different types of devices to each of those points. And, the routing phase in which the collection routes are designed to minimize the associated costs. A case study is analyzed for the collection of WEEE in communes 6, 7 and 8 of Bucaramanga. For the localization phase, a mixed integer linear programming model is developed, which is solved with the GAMS software. The capacitated vehicle routing problem CVRP is addressed with the objective of minimizing the costs associated with the distance traveled by the vehicle for each of the assigned collection points, and a GRASP metaheuristic with local search operators is proposed as a solution technique to solve this second phase. The algorithm was programmed in MATLAB Software and validated with instances of the literature, showing good results for the defined case study.

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The characteristics of multicriteria vehicle routing problem with soft time windows

WUT Journal of Transportation Engineering ◽

10.5604/01.3001.0014.4775 ◽

2018 ◽

Vol 120 ◽

pp. 219-229

Author(s):

Daniel Kubek

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Urban Areas ◽

Road Network ◽

Time Windows ◽

Routing Problem ◽

Soft Time Windows ◽

Proposed Model ◽

Basic Characteristics ◽

The City

The article aims to define a model for a popular and important issue of vehicle routes planning in urban areas. The proposed model has been formulated in a multi-criteria form, which additionally takes into account reverse of good flows and soft time windows. The basic characteristics and usability of the model were analysed by numerous computational experiments. The data for experiments were based on the actual road network of the city of Krakow.

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Accessible Routes Integrating Data from Multiple Sources

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10010007 ◽

2020 ◽

Vol 10 (1) ◽

pp. 7

Author(s):

Miguel R. Luaces ◽

Jesús A. Fisteus ◽

Luis Sánchez-Fernández ◽

Mario Munoz-Organero ◽

Jesús Balado ◽

...

Keyword(s):

Information System ◽

Data Model ◽

Large Scale ◽

Heterogeneous Data ◽

Multiple Sources ◽

Heterogeneous Data Sources ◽

Different Types ◽

Software Sensors ◽

The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

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