The Method of Selecting the Key Freight Transport Industries Based on Weaver-Thomas Index

2013 ◽  
Vol 779-780 ◽  
pp. 981-984
Author(s):  
Xue Zhen Xu ◽  
Shi Duo Liu
Keyword(s):  
Transportation Planning ◽  
Freight Transportation ◽  
Freight Transport ◽  
Transportation Demand ◽  
Freight Transportation Demand ◽  
Important Basis

Regional freight transportation demand is an important basis for transportation planning. Because of the large number of industries, the survey of related industries for regional freight transportation demand is workload and complicated. Therefore, we can grasp the formation and distribution of regional freight transportation demand by analyzing the industries that can generate larger number of transportation demand.

Freight Planning Typology

1998 ◽  
Vol 1613 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Reginald Souleyrette ◽  
T. H. Maze ◽  
Tim Strauss ◽  
David Preissig ◽  
Ayman G. Smadi
Keyword(s):  
Full Range ◽  
Freight Transportation ◽  
System Capacity ◽  
Demand Model ◽  
Transportation Demand ◽  
Traffic Demand ◽  
Demand Modeling ◽  
Freight Traffic ◽  
Freight Transportation Demand

A layered architecture for freight transportation demand modeling entails the construction of a statewide freight transportation demand model by separately simulating traffic for one commodity at a time. Layers can then be added together to construct a comprehensive model that includes the most significant freight flows. Most state or regional economies are dominated by a few economic sectors, and models can be constructed for those sectors that generate the most freight traffic and/or are the most important to the regional economy. Freight traffic demand modeling in intercity applications is more likely to focus on economic development, local infrastructure improvements, maintenance, and similar policy and planning concerns than on system capacity issues. Thus, it is more important to understand changes in traffic growth by economic sector than as the composite of all freight traffic. This method is less data intensive and more easily understood by transportation professionals than previous approaches. The layered approach is therefore more likely to achieve the desired objectives than would general models, which attempt to forecast heterogeneous freight transportation demands simultaneously. This approach is demonstrated through a case study using the meat products and farm machinery industries in Iowa. Other commodities will be added in the future to complete a model of Iowa’s statewide freight transportation demand. A framework is presented for organizing and identifying planning goals, key issues, and predominant commodities for intercity freight transportation. Although examples are provided, specific recommendations addressing the full range of issues, data collection activities, tools, and urban applications are suggested for further study. A case study demonstrates the approach used for one issue, one mode, and two commodities, which could be repeated elsewhere for similar applications.

Freight Travel Demand Modeling: Synthesis of Approaches and Development of a Framework

2000 ◽  
Vol 1725 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Ram M. Pendyala ◽  
Venky N. Shankar ◽  
Robert G. McCullough
Keyword(s):  
Decision Making ◽  
Transportation Planning ◽  
Travel Demand ◽  
Freight Transportation ◽  
The Body ◽  
Travel Demand Modeling ◽  
Demand Modeling ◽  
Transportation Sector ◽  
Planning Framework ◽  
Freight Data Needs

It is increasingly being recognized at all levels of decision making that freight transportation and economic development are inextricably linked. As a result, many urban entities and states are embarking upon comprehensive freight transportation planning efforts aimed at ensuring safe, efficient, and smooth movement of freight along multimodal and intermodal networks. Over the past few decades there has been considerable published research on (1) freight transportation factors, (2) freight travel demand modeling methods, (3) freight transportation planning issues, and (4) freight data needs, deficiencies, and collection methods. A synthesis of the body of knowledge in these four areas is provided with a view to developing a comprehensive statewide freight transportation planning framework. The proposed framework consists of two interrelated components that facilitate demand estimation and decision making in the freight transportation sector.

Distributed Data Management of Daily Car Pooling Problems

2011 ◽  
pp. 408-412
Author(s):  
Roberto Wolfler Calvo ◽  
Fabio de Luigi ◽  
Palle Haastrup ◽  
Vittorio Maniezzo
Keyword(s):  
Public Transportation ◽  
Urban Areas ◽  
Transportation Systems ◽  
Transfer Velocity ◽  
Public And Private ◽  
Transportation Demand ◽  
Freight Transportation Demand ◽  
Set Up ◽  
Public Transportation Systems

The increased human mobility, combined with high use of private cars, increases the load on the environment and raises issues about the quality of life. The use of private cars lends to high levels of air pollution in cities, parking problems, noise pollution, congestion, and the resulting low transfer velocity (and, thus, inefficiency in the use of public resources). Public transportation service is often incapable of effectively servicing non-urban areas, where cost-effective transportation systems cannot be set up. Based on investigations during the last years, problems related to traffic have been among those most commonly mentioned as distressing, while public transportation systems inherently are incapable of facing the different transportation needs arising in modern societies. A solution to the problem of the increased passenger and freight transportation demand could be obtained by increasing both the efficiency and the quality of public transportation systems, and by the development of systems that could provide alternative solutions in terms of flexibility and costs between the public and private ones. This is the rationale behind so-called Innovative Transport Systems (ITS) (Colorni et al., 1999), like car pooling, car sharing, dial-a-ride, park-and-ride, card car, park pricing, and road pricing, which are characterized by the exploitation of innovative organizational elements and by a large flexibility in their management (e.g., traffic restrictions and fares can vary according with the time of day).

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