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: Eiichi Taniguchi
Publisher: John Wiley & Sons
ISBN: 1786302055
Category : Architecture
Languages : en
Pages : 432
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Book Description
This volume of three books presents recent advances in modelling, planning and evaluating city logistics for sustainable and liveable cities based on the application of ICT (Information and Communication Technology) and ITS (Intelligent Transport Systems). It highlights modelling the behaviour of stakeholders who are involved in city logistics as well as planning and managing policy measures of city logistics including cooperative freight transport systems in public-private partnerships. Case studies of implementing and evaluating city logistics measures in terms of economic, social and environmental benefits from major cities around the world are also given.
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: Institute of Traffic Engineers
Publisher:
ISBN:
Category : Freight and freightage
Languages : en
Pages : 92
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Book Description
Author: Akshay Mani
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 260
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Book Description
The following research describes a novel approach for generating disaggregate county-level truck data for Texas from publicly available freight data sources. County-level truck flows are required as inputs to the Statewide Analysis Model (SAM), a multi-modal freight planning model developed by the Texas Department of Transportation, to analyze the freight system performance and make critical infrastructure improvement decisions. TxDOT currently relies on the commercial Reebie Associates' TRANSEARCH database for inputs to the SAM, since it is the only available freight data source providing comprehensive county-level truck flow data for Texas. However, the sources, methodology, and assumptions used in compiling the database are proprietary, which have raised questions regarding the reliability of the data. Since statewide primary freight data collection is an expensive and time-consuming process, there is a need for methods to extract disaggregated data from secondary freight data sources. The current research addresses this need by developing a model to generate county-level truck flows for Texas from the publicly available Commodity Flow Survey. The methodology is applied to compute inter-county, county-to-state and state-to-county truck flows for Texas for nine major commodity categories. Though the generated truck data suffer from certain limitations associated with the CFS, the approach provides a cost-effective means of estimating county-level truck flows in Texas, of which the limitations, assumptions and measures of reliability are well documented
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 132
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 814
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Book Description
Author:
Publisher:
ISBN:
Category : City traffic
Languages : en
Pages : 66
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Book Description
Author: Dan Seedah
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 90
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Book Description
Author: Maria Boilé
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 522
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Book Description
This research presents a statistical approach for estimating truck volumes, based primarily on classification counts and information on roadway functionality, employment, sales volume and number of establishments within the state. Models have been created that may predict truck volumes, flows and percentages at any given location in the state highway network. Profiles of truck traffic are developed for selected roadways, indicating the AADT, truck and passenger car volumes and percentages. The procedure has been modeled into a GIS framework, facilitating data analysis and presentation.
