Model for Forecasting State Highway Construction Costs PDF Download
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Author: Guangxiang Cheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
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Book Description
Author: Guangxiang Cheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
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Book Description
Author: Zohar Herbsman
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 38
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Author:
Publisher:
ISBN:
Category : Roads
Languages : en
Pages :
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Author: Peter Mills
Publisher:
ISBN:
Category : Price indexes
Languages : en
Pages : 51
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Book Description
This report contains the documentation and supporting technical notes for a statistical model that estimates changes in the price components of the Colorado Construction Cost Index. The model contains two specifications. In the first, the composite construction index is a function of the producer prices of inputs: oil, concrete, steel, labor and equipment. In the second, the composite construction index is a function of the price of oil, wages and nationwide demand for construction services. Implementation The model has been transferred to Colorado Department of Transportation (CDOT)'s economist, who will maintain and operate it to forecast price inflation in construction costs over a thirty-year period, in support of statewide planning and programming.
Author: Amirsaman Mahdavian
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
A multitude of externalities affects transport efficiency and numbers of trips. Population expansion, urban development, political issues, fiscal trends, and growth in the field of connected, automated, shared, and electric (CASE) vehicles have all played prominent roles. While the market is keenly aware of the upcoming shift to the CASE vehicles, the transformation itself is reliant upon the development of technologies, customer outlook, and guidelines. The purpose of this research is to establish an overview of the possible network design problems, as well as potential consequences to vehicle automation systems by employing machine learning and system dynamics analysis. Finally, the cost of the required highway expansion for the critical links in the traffic network will be predicted. First, model was created for calculating traffic flow activity and necessitated highways to consider the impact of CASE vehicles between 2021 and 2050. Second, an economic evaluation outline was created to calculate optimum time and roadway improvement scenarios by a cost-prediction model using machine learning. Florida's interstate highways were employed as the subjects for the case study. The research showed that non-linear models had a better ability in the estimation of traffic flow, while linear models were better predictors of highway construction cost. These results also showed new technologies would add to traffic flow and capacity, with the increase in flow outpacing the increase in capacity. The consequences of this would be the level of service (LOS) of the current infrastructure decreasing. This study's results can assist discussion at the national and local level between government, networkers, automotive companies, tech-providers, logistics companies, and stakeholders for whom the practicality provided by the transportation infrastructure is crucial. This allows executives to create effective guidelines for subsequent transportation networks, ultimately accelerating the CASE vehicle network rollout to increase our current road network's level of service.
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Federal aid to transportation
Languages : en
Pages : 46
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Author: Stuart D. Anderson
Publisher: Transportation Research Board
ISBN: 0309098750
Category : Highway planning
Languages : en
Pages : 290
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Book Description
'TRB's National Cooperative Highway Research Program (NCHRP) Report 574: Guidance for Cost Estimation and Management for Highway Projects During Planning, Programming, and Preconstruction explores approaches to cost estimation and management designed to overcome the root causes of cost escalation and to support the development of consistent and accurate project estimates through all phases of the development process, from long-range planning, through priority programming, and through project design. NCHRP Web-Only Document 98 details the steps followed by the research team in the development of NCHRP Report 574"--Publisher's description.
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 48
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Book Description
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Highway planning
Languages : en
Pages : 238
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 1428947922
Category :
Languages : en
Pages : 41
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Book Description
Federal and state governments have played a vital role in the nation economy by facilitating the movement of people and goods through significant investments in highways. At the federal level, the Department of Transportation (DOT) Federal Highway Administration (FHWA) uses a computer model known as the Highway Economic Requirements System (HERS) to estimate the future investment required to maintain and improve the nation highways. DOT reports the results of this analysis to the Congress on a biennial basis. However, state governments make a large number of highway infrastructure investment decisions. States currently use a variety of analytic tools to make these decisions. Interest in using HERS at the state level has grown. Two states Indiana and Oregon are already using customized versions of the model, and in December 2000, FHWA began a pilot project to test its state-level version of HERS, called HERS-ST, with interested states.
