A game theoretical analysis of metro-integrated city logistics systems

2022 ◽  
Vol 156 ◽  
pp. 14-27
Author(s):  
Mingyou Ma ◽  
Fangni Zhang ◽  
Wei Liu ◽  
Vinayak Dixit
2010 ◽  
Vol 33 ◽  
pp. 351-355 ◽  
Author(s):  
Yan Zhang ◽  
Oh Kyoung Kwon

The concept of city logistics facilities is to help establish more efficient urban logistics systems for both private companies and society, reduce the total social and environmental costs of urban freight transport and improve the urban traffic conditions on the road network. This study adopts a fuzzy synthetic evaluation method to determine the optimal location of city logistics facilities.


2009 ◽  
Vol 43 (4) ◽  
pp. 432-454 ◽  
Author(s):  
Teodor Gabriel Crainic ◽  
Nicoletta Ricciardi ◽  
Giovanni Storchi

Author(s):  
Krisztina Bóna ◽  
Dávid Sárdi

Nowadays, urban freight traffic is causing significant noise and air pollution, so it is in the focus of green logistics developments, both in technology and system organization. Based on experiences within city logistics, significant problems are caused by the so-called concentrated sets of delivery points, where there are several delivery points with heavy freight traffic in a relatively small area. Since the summer of 2015, we collected lots of data about stores of these delivery points to support the modelling and the simulation of the new green solutions for the examined city logistics systems. Based on our results we can say, there are significant savings in these systems, so it is worth to deal with developing new, gateway-concept-based and consolidation-based solutions.


Tehnika ◽  
2021 ◽  
Vol 76 (4) ◽  
pp. 485-489
Author(s):  
Snežana Tadić ◽  
Miloš Veljović

Logistics flows in urban areas are generated by systems engaged in various business. Flows generators can be divided into typical logistics systems (logistics, distribution centers, freight terminals, logistics systems of companies, etc.), for which logistics is the core business, and other generators of city logistics (trade, hospitality, craft, service facilities etc.). These two categories of generators differ in terms of flow volume, location, infrastructure, surrounding conditions, form of goods, logistics units and consolidation system, logistics demands, goods handling, etc. In this paper, the basic differences between typical logistics systems and other generators of city logistics are analyzed, thus achieving the basic goal and contribution of paper.


2020 ◽  
Vol 12 (18) ◽  
pp. 7500
Author(s):  
Tomislav Letnik ◽  
Matej Mencinger ◽  
Iztok Peruš

Urban freight deliveries are often subject to many access restrictions which creates the need to establish a system of loading bays and to split the last mile delivery into driving and walking parts. A new model based on hard and soft clustering approach is developed to solve the loading bay assignment problem for efficient vehicle routing and walking in last mile delivery. The flexibility of the model is provided by the soft clustering approach based on different membership degrees of customers to loading bays. Especially for instances with large numbers of loading bays, soft clustering seems to give better results, it leads to higher flexibility of city logistics systems, minimal driving distances, and adequately short walking paths, which contribute to the goal of reaching sustainable urban freight deliveries.


Author(s):  
Dávid Lajos Sárdi ◽  
Krisztián Bóna

In the field of logistics, the examination of urban concentrated sets of delivery points (e.g. shopping malls or markets) is an important, new area. In these sets, there is a relatively large number of stores with significant goods traffic, which generate significant customer traffic, air and noise pollution, while their logistics systems are not properly designed. Despite all this, city logistics research does not specifically target this field, there are no models that can be used to examine any kind of urban concentrated sets of delivery points. Earlier, only few subsystems have been examined, so we started to study and model the concentrated sets of delivery points generally. As a first step in our research project, we collected data about concentrated sets of delivery points, and this data made it possible to start the simulation modelling and to develop new solutions.


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