5 research outputs found
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Freight Data Architecture Business Process, Logical Data Model, and Physical Data Model
Texas Department of Transportation
Research and Technology Implementation Office
P.O. Box 5080
Austin, Texas 78763-5080Civil, Architectural, and Environmental Engineerin
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Integrating Public and Private Data Sources for Freight Transportation Planning
The Moving Ahead for Progress in the 21st Century Act (MAP-21) stipulates that state transportation agencies
expand their interest in freight initiatives and modeling to support planning efforts, particularly the evaluation of
current and future freight transportation capacity necessary to ensure freight mobility. However, the
understanding of freight demand and the evaluation of current and future freight transportation capacity are not
only determined by robust models, but are critically contingent on the availability of accurate data. Effective
partnerships are clearly needed between the public and private sectors to ensure adequate freight planning and
funding of transportation infrastructure at the state and local levels. However, establishing partnerships with
firms who are both busy and suspicious of data-sharing, remains a challenge. This study was commissioned by
the Texas Department of Transportation (TxDOT) to explore the feasibility of TxDOT entering into a data-sharing partnership with representatives of the private sector to obtain sample data for use in formulating a
strategy for integrating public and private sector data sources. This report summarizes the findings, lessons
learned, and recommendations formed from the outreach effort, and provides a prototype freight data architecture
that will facilitate the storage, exchange, and integration of freight data through a data-sharing partnership.Texas Department of Transportation
Research and Technology Implementation Office
P.O. Box 5080
Austin, TX 78763-5080Civil, Architectural, and Environmental Engineerin
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An investigation of factors impacting life-cycle application of Civil Integrated Management (CIM)
textHighway projects are delivered in a complex environment that involves participation of diverse stakeholders with different objectives. Technological advancements have provided better tools and techniques that if incorporated can lead to effective project delivery complying with the multitude of objectives. Often the projects are cost-driven, schedule-driven, or both. Presence of ongoing traffic poses an additional challenge for the developers as it impacts the safety and comfort of both the commuters and the construction workers. A wide variety of tools, techniques and work processes are adopted across many projects depending on the project and agency requirements to make the process of project management efficient across its life-cycle. Civil Integrated Management (CIM) is a terminology that encompasses all such tools and technologies that can facilitate the process of digital project delivery and asset management. This study examines the current state of practice for CIM through surveys conducted at agency and project level. The results of these surveys are summarized to provide an understanding of the organizational and contractual issues related to CIM implementation and comprehend the process of technologies implementation and associated performance benefits at the project-level. Significant factors impacting successful life-cycle CIM utilization are elicited through the surveys and follow-up interviews and are investigated further under four main categories – Technology Implementation Planning, Model-based workflow and processes, design for construction automation and Information Management. Specific examples have been provided for each of these factors to demonstrate their utility on projects. The findings of this study will provide practitioners a list of key issues to be considered for profitable and effective implementation of the CIM technologies across a project’s life-cycle.Civil, Architectural, and Environmental Engineerin
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Civil integrated management for highway infrastructure projects : analyses of trends, specifications, impact, and maturity
Highway projects are delivered in a complex environment that involves the participation of diverse stakeholders with different objectives. Stakeholders have to deal with a multitude of information coordination and project execution challenges. Conventional solutions that often depend on traditional surveying methods, document-based design and construction work processes have proven inadequate to consistently meet the information requirements for project delivery processes. Over the past few decades, the advent of modern technologies in data collection, design, and in-field positioning systems have been transforming the work processes both in the planning and the execution of highway projects.
Civil Integrated Management (CIM) is a terminology that encompasses all such tools and technologies that can facilitate the process of digital project delivery and asset management. Nonetheless, much of the advancements in digital delivery have essentially been limited to a few projects or particular phases. While owner agencies have recognized the significance of CIM technologies, widespread implementation and standardization of these tools remain a futuristic goal. Driven based on findings of a national state of practice survey, this dissertation compiles three chapters that studied principal issues concerning enhanced CIM implementation namely standardization of project work processes, empirical validation of benefits, and formulation of a reliable benchmarking tool. Chapters 5 and 6 examine utilization of CIM at the project level. Extensive inputs from selected case study projects from the U.S. and the U.K. helped identify unique practices and transforming specifications that the agencies deployed to streamline usage of these tools. These case study inputs were then methodically coded to analyze the combined impact of CIM technologies and supporting factors on project performance measures. Chapter 7 broadens the focus of the research to examine agency-level implementation issues. This chapter proposed a quantitative maturity model for benchmarking the usage. The model considers 16 pertinent attributes encapsulating technical, contract, legal, and organizational issues. A national survey of agency champions and other CIM experts helped assess the relative importance of these attributes towards CIM workflow and appropriately weight their usage levels in determining CIM maturity.
The study contributes uniquely to the body of knowledge and also has considerable practical implications for the highway industry. The project-level objectives produced valuable insights in terms of distinct practices that agencies adopted to facilitate CIM. It also empirically validated the complex interactions between CIM and process factors for validating the performance improvements. The maturity assessment tool produced a trustworthy model and a repeatable general research framework for benchmarking CIM implementation at agencies.Civil, Architectural, and Environmental Engineerin