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SHRP 2 Report S2-L06-RR-1: Institutional Architectures to Improve Systems Operations and Management (2012)
Strategic Highway Research Program Reliability Focus Area (SHRP2REL)

Citation Manager

Tarnoff, Phil, Lockwood, Steve, O'Laughlin, John, Thatchenkery, Tojo, Transportation Research Board. "Step 1: Identification of More Effective States - Reliance On Indirect Indicators." SHRP 2 Report S2-L06-RR-1: Institutional Architectures to Improve Systems Operations and Management. Washington, DC: The National Academies Press, 2012.

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Page
31
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Page
31
Front Matter (R1-R10)
Purpose of the Project (1-1)
Systems Operations and Management (2-3)
Application of the Capability Maturity Model (4-4)
Research Findings: Processes and Their Institutional Support Implications (5-6)
Key Findings Related to SO&M Institutional Architecture (7-7)
Capability Improvement Strategies at Each Level (8-8)
Using the Model as Guidance (9-11)
Managing Improvements in Institutional Maturity (12-13)
Institutional Innovation and Alternative Models (14-15)
Bringing the Future Forward Faster (16-16)
Organization of the Report (17-17)
Effective Strategy Applications to Reduce NRC (18-18)
Systems Operations and Management (19-19)
Commitment to Improving SO&M (20-21)
Institutional Reality (22-22)
Basic Hypothesis of the Report (23-23)
Study Methodology (24-25)
Previous Institutional Research Within the Transportation Arena (26-26)
Private-Sector Contributions to Organizational Theory and Process Management (27-28)
Applicability of Maturity Approach to Transportation Agencies (29-30)
Step 1: Identification of More Effective States - Reliance On Indirect Indicators (31-31)
Step 2: State DOT Management Interviews and Survey (32-32)
Step 3: Analyze Data, Survey, and Interviews (33-33)
Strategy Application Features That Impact Performance (34-34)
Key Findings Related to Process (35-35)
Program Scoping (36-36)
Technical Processes (37-37)
Performance Measurement (38-38)
Levels of Process Maturity (39-41)
Process Implications for Institutional Architecture (42-42)
The Key Categories of Institutional Characteristics (43-48)
Summary Conclusions Regarding Key Institutional Characteristics Supporting Effective Business Processes (49-49)
Process Maturity as a Bridge to Identifying Levels of Maturity (50-52)
The Improvement Strategies (53-53)
Basic Guidance Steps (54-57)
Change Management Modalities: Contribution of Theory (58-60)
Change Management Tactics (61-62)
The Models (63-63)
Implications of Alternative Models Regarding Key Institutional Issues (64-65)
The International Perspective (66-67)
References (68-69)
Glossary (70-70)
Appendix A - U.S. Institutional Arrangements Compared with England and Australia (71-73)
Appendix B - State DOT Process and Institutional Interviews (74-75)
Appendix C - AASHTO Subcommittee on Systems Operations and Management (SSOM) Questionnaire (76-79)
Appendix D - Examples of Regional Operations Collaboration (80-82)
Appendix E - Example of Change Management Program for a State DOT (83-86)
Reliability Technical Coordinating Committee (87-88)

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C H A P T E R 4 Survey Research Methodology As described in this chapter, interviews and a survey were used a broad category evaluation of a transportation agency's to identify the business process and institutional characteristics relative commitment and probable effectiveness could be of the states that had more comprehensive SO&M programs made. Identification of more mature transportation agency (identified initially from secondary data). programs versus those that are still transitioning toward more comprehensive and effective programs was assessed by com- bining the few sources that cover most or all transportation Interviews and Survey agencies. As indicated in the following list, the data include Based on the hypothesis presented in Chapter 2 and the sources that indicate levels of deployment, performance report- insights provided by organizational development and process ing (if any), self-evaluation of the status of applied strategies, improvement theory and practice in Chapter 3, a survey issue self-reporting, level of participation in national programs, approach was developed to systematically identify key busi- topic-specific citations, and anecdotes. The indicators and ness processes essential to more effective programs and the sources included the following: institutional features that appear to support these processes. The purpose of the survey and interviews was not to iden- · Survey on the extent of deployment of ITS infrastructure-- tify specific states as exemplary; rather, it was to determine reported at the metropolitan level for the top 70 metro- general relationships, business processes, and institutional politan areas in terms of percentage of freeway miles under architecture that appear to be associated with the more effec- detection and surveillance, coverage of safety service patrols, tive states. level of ITS integration. (Source: U.S. Department of Trans- This three-step approach was followed: portation, Research and Innovative Technology Adminis- tration, 2009b.) · Step 1: Identification of clusters of states with similar com- · State programs in traveler information--511 program mitment to and development of effective SO&M programs. and travel time information on dynamic message signs. · Step 2: State DOT management interviews and surveys of (Source: U.S. Department of Transportation, FHWA, 2011.) selected states. · Incident management--self-assessment score (72 regions). · Step 3: Analysis of the survey and interviews to identify key (Source: U.S. Department of Transportation, FHWA, relationships between business processes and institutions. 2009a.) · State authorizing legislation regarding quick incident clear- The range of business process and institutional differences ance. (Source: Dunn and Latoski, 2003.) among states was also assessed. · Level of participation in operations/ITS initiatives including the following: ITS deployment activities. (Sources: I-95 Corridor Coali- Step 1: Identification of More tion, 2009; Gary-Chicago-Milwaukee Corridor Coalition, Effective States--Reliance 2009.) On Indirect Indicators TMC pooled fund participation. (Source: U.S. Depart- There is no available performance outcome data that can ment of Transportation, FHWA, 2009e.) be used to directly identify the more effective transportation Road weather management and Remote Weather Infor- agency SO&M programs on an absolute scale. Therefore, only mation System (RWIS) stations. (Source: U.S. Department 31