The interpretation and application of the improvement recommendations will vary amongst DOTs based on size, organizational structure, leadership objectives, and other factors.
However, by complementing improvement recommendations with real project examples aligned with various areas of the assessment, DOTs will be able to see how others have approached similar challenges, how those challenges were addressed and how desired outcomes were achieved.
Each case study is is provided in a consistent format. This format provides the reader a concise and clear description of why the project was undertaken, the approach applied, the value delivered, and the key challenges faced. Supporting graphics are included with each case study to provide visual context in the form of charts, workflows, screen captures or other artifacts.
The motivation section of the case study is designed to create a relatable position for why a DOT would undertake such a project. The goal of the motivation description is to help the reader identify with the originating challenge or opportunity and related it to a similar challenge or opportunity within their own organization.
The approach is intended to provide a high-level walkthrough of the key steps the DOT took to execute the project or initiative. Specific step, actions, tactics and engagement strategies employed by the DOT are detailed as applicable.
In the value delivered section, the outcome of the project or initiative is described in qualitative or quantitative fashion. By providing the outcome value information the reader can infer similar outcome value propositions for improvements that they are considering that might be associated with the particular case study.
Key Challenges Faced
Each case study highlights key organizational requirements and challenges faced during implementation. Each case study categorizes these challenges by time, resources, expertise, coordination, and change.
Supporting Graphics and Context
In order to bring the project or initiative to life, select images are provided to support the textural portion of the case study. These images may be photographs, screen shots or applications, charts, or other representative graphics to help illustrate motivation, approach, value or challenges.
Case study selection is guided by an understanding of some of the more challenging and progressive areas of the guidance. Each case study is aligned to an assessment area with a single case study potentially covering more than one area or element.
Below are listed the case studies organized by assessment area, section and/or element references identified. A brief case study description outlines how the case study provides a useful example of practice and how it is linked to the assessment and improvement framework.
Detailed case study materials are found in Appendix G.
Establishing and Applying a Governance Framework
Section: Governance (A.5)
Element: All (A.5a – A.5.d)
Organization: Ohio DOT
Project: Establishing and Applying a Data Governance Framework
This case study demonstrates how a specific DOT could advance governance elements from practice level 1 or 2 up to practice level 3, by implementing improvements for stewardship roles and governance structures, data management maturity self-assessments, and data and integration through process mapping.
Statewide Vehicle-Based Data Collection
Section: Inventory, Condition, and Performance Collection (B.1)
- Coverage (B.1.a, B.2.a, B.3.a)
- Automation (B.1.b, B.2.b, B.3.b)
Organization: Utah DOT
Project: Statewide Mobile LiDAR Data Collection
This case study demonstrates how a specific DOT could advance these elements from practice level 2 to practice level 3, by implementing improvements for manual data collection automation and collection tools and methods consolidation.
Data Collection Quality Management Plan Implementation
Section: Inventory condition and performance (B.1)
Elements: Quality (B.1.c, B.2.c, B.3.c)
Organization: Colorado DOT
Project: Pavement Data Quality Management Plan
- the business process,
- what will change, and
- how it will affect the stakeholders.
The training and certification aspects of the case study illustrate a method to support sustained change.
This case study demonstrates how a specific DOT could advance these elements from practice level 1 to practice level 2 or 3, by implementing improvements for data quality collection plan.
Mobile Field Data Collection Implementation
- Inventory, Condition, and Performance Collection (B.1),
- Project Information (B.2),
- Maintenance Information (B.3)
Element: Quality (B.1.c, B.2.c, B.3.c)
Organization: Virginia DOT
Project: Mobile Field Data Collection of Maintenance Work Accomplishments
This case study demonstrates how a specific DOT could advance these elements from practice level 3 to practice level 4, by implementing improvements for automated data quality collection audits.
Mobile LiDAR and BIM/CADD Integration
Section: Asset life cycle data integration workflows (C.2)
- Project development to project delivery (C.2.b)
Organization: Utah DOT
Project: Integration of 3D Modeling Data to Support Asset Management
This case study demonstrates how a specific DOT could advance this element from practice level 3 to practice level 4, by implementing improvements for asset life-cycle data transfers automation.
Multi-Objective Project Prioritization Program Implementation
Section: Project Planning, Scoping, and Design (E.2)
Element: Data-Driven Project Planning and Scoping (E.2.a)
Organization: Ohio DOT
Project: Transportation Asset Management Decision Support Tool (TAMDST)
This case study demonstrates how a specific DOT could advance this element from practice level 2 to practice level 3, by implementing improvements for network-level performance monitoring programs.