scholarly journals Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale

2019 ◽  
Vol 11 (4) ◽  
pp. 990 ◽  
Author(s):  
Dan Liu ◽  
Zhenghong Deng ◽  
Qipeng Sun ◽  
Yong Wang ◽  
Yinhai Wang
Keyword(s):  
Economies Of Scale ◽  
Cost Model ◽  
Transportation Network ◽  
Hybrid Genetic Algorithm ◽  
Pso Algorithm ◽  
Transport Cost ◽  
Intermodal Transportation ◽  
Fleet Size ◽  
Freight Consolidation ◽  
Vehicle Size

Decentralized freight decision has been proved to be one of the inhibitors to achieve a sustainable transport network. One important method also a key challenge is to determine how to coordinate and consolidate the transportation flow to get the best logistics performance. This study presents an intermodal transportation network considering freight consolidation through freight forwarders’ cooperation. We formulate the problem as a minimum intermodal transport cost model, which is a nonlinear, nonconvex and discontinuous function that involves volume economies of scale, distance economies of scale and vehicle size economies of scale. A hybrid genetic algorithm (GA) and particle swarm optimization (PSO) algorithm in combination with a batch strategy are used to solve the problem. Five different transport demand scenarios are tested on a real case on “China Railway Express” (Crexpress). The choices of reasonably corridor and fleet size combination are provided.

scholarly journals Hub Location, Routing, and Route Dimensioning: Strategic and Tactical Intermodal Transportation Hub Network Design

2021 ◽  
Author(s):  
Bariş Yıldız ◽  
Hande Yaman ◽  
Oya Ekin Karaşan
Keyword(s):  
Network Design ◽  
Economies Of Scale ◽  
Transportation Network ◽  
Transportation Systems ◽  
Branch And Cut ◽  
Intermodal Transportation ◽  
Hub Location ◽  
Optimization Scheme ◽  
Location Routing ◽  
Problem Instances

We propose a novel hub location model that jointly eliminates some of the traditional assumptions on the structure of the network and on the discount as a result of economies of scale in an effort to better reflect real-world logistics and transportation systems. Our model extends the hub literature in various facets: instead of connecting nonhub nodes directly to hub nodes, we consider routes with stopovers; instead of connecting pairs of hubs directly, we design routes that can visit several hub nodes; rather than dimensioning pairwise connections, we dimension routes of vehicles; and rather than working with a homogeneous fleet, we use intermodal transportation. Decisions pertinent to strategic and tactical hub location and transportation network design are concurrently made through the proposed optimization scheme. An effective branch-and-cut algorithm is developed to solve realistically sized problem instances and to provide managerial insights.

scholarly journals An Optimal Path Identification in the Intermodal Freight Transportation Network

2018 ◽  
Vol 7 (2.11) ◽  
pp. 1
Author(s):  
Adel Gohari ◽  
Abdul Nasir Bin Matori ◽  
Khamaruzaman Wan Yusof ◽  
Iraj Toloue ◽  
Khin Cho Myint
Keyword(s):  
Information System ◽  
Transportation Network ◽  
Optimal Path ◽  
Freight Transportation ◽  
Research Topic ◽  
Objective Functions ◽  
Intermodal Transportation ◽  
Choice Analysis ◽  
Mode Of Transportation ◽  
Intermodal Freight

Intermodal transportation is a research topic of great interest at present. This paper presents a route choice analysis on an intermodal freight transportation network. The aim of this study was to determine the optimum route and mode of transportation based on least distance and least time criteria for the movement of containers from origin to the destination. Geographic Information System (GIS) was adopted to build the hypothetical freight transportation network and MATLAB software was used to model the travel distance and travel time. The results showed that the model can be used effectively to identify the shortest path and modes of transportation according to objective functions.  

On the Historical Relationship between Port (In)Efficiency and Transport Costs in the Developing World

2021 ◽  
Author(s):  
Matías Herrera Dappe ◽  
Tomás Serebrisky ◽  
Ancor Suárez-Alemán
Keyword(s):  
Developing Countries ◽  
Service Provision ◽  
Cost Model ◽  
Transport Cost ◽  
Maritime Transport ◽  
Parametric Approach ◽  
Transport Costs ◽  
Port Efficiency ◽  
Container Ports ◽  
Historical Relationship

Do differences in port performance explain differences in maritime transport costs? How much would improvements in port performance reduce maritime transport costs in developing countries? To answer this question, we use a widely used transport cost model, but we provide a new measure of port efficiency, estimated through a non-parametric approach. Relying on data from the early 2000s, this paper shows that for a sample of 115 container ports in 39 developing countries, becoming as efficient as the country with the most efficient port sector would reduce average maritime transport costs by 5 percent. For the most inefficient country, the reduction in transport costs could reach 15 percent. These findings point out the potential gains that can be achieved from the combination of betterquality investment and more efficient service provision in the port sector. The estimates in this paper cannot be updated because the databases were discontinued and it therefore highlights the need to generate data to evaluate the effectiveness of public policies that are key to competitiveness.

An Assessment of the Belt and Road Performance

2019 ◽  
pp. 108-127
Author(s):  
Sedat Baştuğ ◽  
Turgay Battal
Keyword(s):  
Cost Model ◽  
Volume Ratio ◽  
Transport Cost ◽  
Primary Methods ◽  
Original Analysis ◽  
Multimodal Transport ◽  
Belt And Road ◽  
The Cost ◽  
The Belt And Road

The aim of the chapter is to propose a methodology to illustrate the cost and time components of door-to-door movement by One Belt and One Road (OBOR) and traditional routes alongside with modes. The study is concentrated on a case study and uses established multimodal transport cost model as a research framework. Interviews with industry practitioners and observation from primary methods of data collection. The use of multimodal transport cost model is common in the containerized cargoes. Hence, this study provides an original analysis for OBOR initiative. The volumes of OBOR shipments are large, with a high value-to-volume ratio. The research initially confirms that multimodal transport alternatives and modal combinations may successfully be applied and assess the performance of OBOR initiative.

Effect of Taxi Information System on Efficiency and Quality of Taxi Services

2005 ◽  
Vol 1903 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Hyunmyung Kim ◽  
Jun-Seok Oh ◽  
R. Jayakrishnan
Keyword(s):  
Information System ◽  
Urban Areas ◽  
Transportation Network ◽  
Public Support ◽  
Transportation Systems ◽  
Fleet Size ◽  
Taxi Drivers ◽  
Taxi Service ◽  
Expected Waiting Time

In many major metropolitan areas, taxi services have played an important role as a semipublic transportation mode without public support. However, there has not been much modeling effort–-despite the importance of taxis in urban transportation systems–-mainly because of the difficulty in modeling taxi drivers’ behavior. This study models a taxi service system in urban areas, taking into account taxi drivers’ knowledge of the transportation network built from their day-to-day experience. Passenger-seeking behavior by taxi drivers is modeled on the basis of their expected travel time and expected waiting time. The model considers the stochastic and dynamic transportation network and various levels of network knowledge on the part of drivers. This modeling approach provides flexibility in modeling the characteristics of taxi operation as well as understanding how taxi drivers’ capability evolves. The study analyzes the fleet size of taxi service systems and the effects of the taxi company's information systems by considering quality and operational efficiency of taxi services, from both the passengers’ and taxi operators’ points of view. A simulation experiment shows that the taxi information system can provide benefits equivalent to increasing the number of taxis by 20% in regard to the quality of taxi service.

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