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Author: Mohammad Naez Murshed
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
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Book Description
Urban freight transportation is exclusively road based since other modes like air, rail and water ways are considered inefficient due to smaller trip lengths of urban localities, with the majority share being carried by trucks. Recent trends of online shopping along with a faster growing population in urban areas is putting more and more commercial trucks on urban road networks which move in a uniquely different manner forming long trip chains i.e. tours. The two primary classes of freight models, vehicle-based or commodity-based, both have flaws. The vehicle-based models fail to include the underlying economic behavior such as commodity flows from which the demand is actually derived, and the commodity-based models fail to realistically account for vehicle activities, especially in urban settings, for which evaluation and impact assessment are most crucial. As a result, recent developments in this field (urban freight modeling) have been focused toward more disaggregate types of models that incorporate supply chain behavioral mechanics (logistics model) or truck touring aspects (vehicle touring model). A disaggregate level tour-based truck model was developed to estimate origin-destination (O-D) matrix considering both the commodity and vehicular aspects of urban commercial freight movement. The criterion for choosing the next destination zone for tour formation is based on the principle of serving the nearest zone first. The model and its application in case studies related to two different commercial vehicle survey (2006 Austin and 2012 Dallas- Fort Worth) data sets in Texas region are presented. Two major inducers of commercial freight truck tours in urban areas (i.e. delivery of food and kindred products and manufactured goods) were considered in the case studies. Fairly good performance (25% to 30% accurate predictions and about 90% within 3 zones) was displayed by the proposed models (model 1 and model 2) in predicting O-D matrices corresponding to the two commodity classes. One of the significant contributions of this research in the paradigm of urban commercial freight truck tour modeling is the introduction of a novel parameter, i.e. store opening hours in destination choice of the tour building process pertaining to the delivery of food and kindred products.
Author: Mohammad Naez Murshed
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
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Book Description
Urban freight transportation is exclusively road based since other modes like air, rail and water ways are considered inefficient due to smaller trip lengths of urban localities, with the majority share being carried by trucks. Recent trends of online shopping along with a faster growing population in urban areas is putting more and more commercial trucks on urban road networks which move in a uniquely different manner forming long trip chains i.e. tours. The two primary classes of freight models, vehicle-based or commodity-based, both have flaws. The vehicle-based models fail to include the underlying economic behavior such as commodity flows from which the demand is actually derived, and the commodity-based models fail to realistically account for vehicle activities, especially in urban settings, for which evaluation and impact assessment are most crucial. As a result, recent developments in this field (urban freight modeling) have been focused toward more disaggregate types of models that incorporate supply chain behavioral mechanics (logistics model) or truck touring aspects (vehicle touring model). A disaggregate level tour-based truck model was developed to estimate origin-destination (O-D) matrix considering both the commodity and vehicular aspects of urban commercial freight movement. The criterion for choosing the next destination zone for tour formation is based on the principle of serving the nearest zone first. The model and its application in case studies related to two different commercial vehicle survey (2006 Austin and 2012 Dallas- Fort Worth) data sets in Texas region are presented. Two major inducers of commercial freight truck tours in urban areas (i.e. delivery of food and kindred products and manufactured goods) were considered in the case studies. Fairly good performance (25% to 30% accurate predictions and about 90% within 3 zones) was displayed by the proposed models (model 1 and model 2) in predicting O-D matrices corresponding to the two commodity classes. One of the significant contributions of this research in the paradigm of urban commercial freight truck tour modeling is the introduction of a novel parameter, i.e. store opening hours in destination choice of the tour building process pertaining to the delivery of food and kindred products.
Author: J. Richard Kuzmyak
Publisher: Transportation Research Board
ISBN: 0309098149
Category : Commercial vehicles
Languages : en
Pages : 141
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Book Description
Author: Keith M. Chase
Publisher: Transportation Research Board
ISBN: 0309129427
Category : Transportation
Languages : en
Pages : 90
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Book Description
" TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C20-RR-1: Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling. The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and more informed decisions. SHRP 2 Capacity Project C20, which produced Report S2-C20-RR-1, also produced the following items: A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation: A speaker's kit, which is intended to be a "starter" set of materials for use in presenting the freight modeling and data improvement strategic plan to a group of interested professionals; and; A 2010 Innovations in Freight Demand Modeling and Data Symposium " -- publisher's description
Author:
Publisher:
ISBN:
Category : Freight and freightage
Languages : en
Pages : 343
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Book Description
The Texas Department of Transportation (TxDOT) developed the Texas Statewide Analysis Model (SAM) to provide analysis and forecasting capabilities of passenger and commodity/freight movements in Texas. The SAM provides data and results at a level that is more aggregate than that typically accomplished within urban areas in their travel demand models. Travel demand models for urban areas typically concentrate on person estimates and at an aggregate level also estimate commercial vehicle (i.e., truck) movements. To produce consistent compatible estimates of passenger and commodity/freight movements, agencies have not integrated the SAM and urban travel demand models. The purpose of this research was to provide a Texas analysis model that would disaggregate statewide estimates of commodities/freight within the Texas traditional urban travel demand model boundaries. The research has developed a disaggregation model for integrating the SAM commodity estimates into the urban framework and a "bottom-up" model for estimating the commodity movements internal to the urban area that occur in addition to statewide movements. The integration of the SAM estimates involves disaggregation of internal to internal, external to internal, and external to external movements. The SAM accomplishes disaggregation using existing demographic data at the urban level. The urban model component uses data from typical urban travel demand models, including software currently used by TxDOT in their urban travel demand models. Modeling data such as shipping/receiving rates, trip length, load factors, etc. were developed from travel surveys done as part of the state travel survey program. The urban model also specifically estimates vehicle (truck) movements that do not involve the transfer of commodities as well as movements of empty vehicles. Included in the research was the application of the urban model and integration of the SAM estimates for the Houston-Galveston Area to develop estimates of commodity movements in the Houston-Galveston Area and estimate the truck movements associated with those commodities.
Author: Travel Model Improvement Program (U.S.)
Publisher:
ISBN:
Category : Freight and freightage
Languages : en
Pages : 392
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Book Description
Author: Charles W. Chappell
Publisher:
ISBN:
Category : Freight and freightage
Languages : en
Pages : 52
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Book Description
Author: Cambridge Systematics
Publisher: Transportation Research Board
ISBN: 0309099242
Category : Freight and freightage
Languages : en
Pages : 169
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Book Description
Federal planning legislation and regulations now mandate that state departments of transportation and metropolitan planning organizations consider the needs of freight when planning and programming transportation investments. While there are standard techniques used to forecast the movement of people, less attention has been paid to forecasting freight movements, and there are consequently fewer standardized techniques that state and local agencies can adapt to their local situation. This Toolkit is designed to provide transportation planners with the information they need to prepare forecasts of freight transportation by highlighting techniques successfully developed by state agencies across the country.
Author: Pauline Laila Bela
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This thesis develops a comprehensive Regional Transport Network Modelling framework that generates, distributes and assigns commercial vehicles along with passenger car, and estimates the resulting vehicular emission in Halifax. First, this study presents a four-stage travel demand forecasting model that accommodates truck movement within the-2011 Halifax transport network model. Heavy, medium and light truck trips are generated by utilizing GPS tracking and EPOI-information respectively. Later, the model is enhanced by incorporating delivery truck tours for-2016 by utilizing an Info-Canada-Business-Establishment-dataset. The uniqueness of this study is that a novel approach of Monte Carlo simulation technique is used to develop relevant tour attributes for delivery truck. This model also includes trip-rate analysis approach for delineating trip generation of passenger car. Both models are used to estimate vehicular emission of GHG,CO,NOx,PM2.5,PM10,SO2,THC, and VOC. The findings of this study will be beneficial for transportation professionals to develop strategies for traffic management and emission reduction.
Author: Ram M. Pendyala
Publisher:
ISBN:
Category : Containerization
Languages : en
Pages : 252
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Book Description
Author: David E. Boyce
Publisher: Edward Elgar Publishing
ISBN: 1784713597
Category : Business & Economics
Languages : en
Pages : 661
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Book Description
Forecasting Urban Travel presents in a non-mathematical way the evolution of methods, models and theories underpinning travel forecasts and policy analysis, from the early urban transportation studies of the 1950s to current applications throughout the
