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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <title>Key Ideas from the Issues and Challenges in Using Existing Data and Tools for Performance Measurement: TRB Performance Measures Conference</title>
      <link>https://trid.trb.org/View/806794</link>
      <description><![CDATA[Many transportation agencies seek to improve the collection, processing, and use of performance measures without making significant additional investments to collect new data or implement new information systems and analysis tools. The purpose of this presentation is to highlight technical issues associated with using existing data and tools for performance measurement in a transportation agency. The discussion identifies common challenges that are faced, so that agency staff can anticipate and address these challenges in a proactive manner.]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/806794</guid>
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      <title>Missouri Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806822</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Missouri Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/806822</guid>
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      <title>Maryland Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806809</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Maryland Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/806809</guid>
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      <title>Florida Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806804</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Florida Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/806804</guid>
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      <title>Idaho Transportation Department Perspective</title>
      <link>https://trid.trb.org/View/806805</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Idaho Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/806805</guid>
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      <title>San Diego Association of Governments Perspective</title>
      <link>https://trid.trb.org/View/806831</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the San Diego Association of Governments:  (1) How has the Association used current data collection activities to feed performance measures? (2) How does the Association plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/806831</guid>
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      <title>Minnesota Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806815</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Minnesota Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) how have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/806815</guid>
    </item>
    <item>
      <title>Data Business Plans in Florida</title>
      <link>https://trid.trb.org/View/806795</link>
      <description><![CDATA[The Florida Department of Transportation (FDOT) has developed a management process joining transportation performance measures with a goal-oriented business planning strategy. The FDOT transportation management process is policy driven, supported by data, and systematically evaluates the condition and operation of the state transportation system against goals and objectives. The FDOT has historically tracked the performance of the department through 11 metrics, now consolidated into 5:  transportation systems safety; customer and market focus; production performance; transportation system performance; and organizational performance.  To manage all the data from the FDOT performance measures, the department has developed the Performance Measures Database.  Despite the challenges in the development of the single database, FDOT has successfully integrated the performance measurement and business planning processes.]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/806795</guid>
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      <title>Washington State Transportation Improvement Board Perspective</title>
      <link>https://trid.trb.org/View/806838</link>
      <description><![CDATA[The Washington State Transportation Improvement Board (TIB) is an independent state agency that provides grant funding to local government street and sidewalk projects. The agency has 455 projects in its current inventory and selects about 70 new projects per year.  This paper addresses the following questions as they relate to the Washington State TIB:  (1) How has the TIB used current data collection activities to feed performance measures? (2) How does the TIB plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/806838</guid>
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      <title>Virginia Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806833</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Virginia Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/806833</guid>
    </item>
    <item>
      <title>California Department of Transportation Perspective</title>
      <link>https://trid.trb.org/View/806803</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the California Department of Transportation:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) how have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/806803</guid>
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      <title>Research Problem Statement: Real-Time Transfer of Information to the Customer</title>
      <link>https://trid.trb.org/View/806917</link>
      <description><![CDATA[This proposal was generated by the Challenges of Data for Performance Measures Workshop held on July 8, 2006. The concept was to bring both performance measures and data professionals together to share experiences and identify key issues relating to the data sources used to support performance measures. A total of 25 state and MPO representatives participated in active discussion groups, along with 13 others. This proposal was ranked No. 4 in importance by the workshop planning committee that was led by Randy Halvorson of Minnesota DOT. The objectives of this proposal were to: research the best practices and cost–benefit of real-time transfer of performance data to the customer; document the success of real-time data as an influence on individual travelers to adjust travel patterns based on the availability of data; determine what information is needed and how to make it available to the customer in a useful framework that will contribute to the spread of demand between modes to optimize system capacity; and research how quickly travelers can absorb and change choices.]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/806917</guid>
    </item>
    <item>
      <title>Alaska Department of Transportation and Public Facilities Perspective</title>
      <link>https://trid.trb.org/View/806798</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Alaska Department of Transportation and Public Facilities:  (1) How has the Department used current data collection activities to feed performance measures? (2) How does the Department plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/806798</guid>
    </item>
    <item>
      <title>Metropolitan Transportation Commission Perspective: San Francisco Bay Area</title>
      <link>https://trid.trb.org/View/806811</link>
      <description><![CDATA[This paper addresses the following questions as they relate to the Metropolitan Transportation Commission, San Francisco Bay Area:  (1) How has the Commission used current data collection activities to feed performance measures? (2) How does the Commission plan and prioritize improvements to data systems involved with performance measurement? (3) How have individual data collection systems been developed or modified to better support performance measures? (4) How have tools for displaying or interpreting data been incorporated into the development of performance measures?]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/806811</guid>
    </item>
    <item>
      <title>Research Problem Statement: Developing Performance-Based Investment Programs and Data Systems</title>
      <link>https://trid.trb.org/View/806914</link>
      <description><![CDATA[This proposal was generated by the Challenges of Data for Performance Measures Workshop held on July 8, 2006. The concept was to bring both performance measures and data professionals together to share experiences and identify key issues relating to the data sources used to support performance measures. A total of 25 state and MPO representatives participated in active discussion groups, along with 13 others. This proposal was ranked No. 1 in importance by the workshop planning committee that was led by Randy Halvorson of the Minnesota Department of Transportation. The objective of the research is to develop guidance for institutionalizing performance-based investment decision making and supporting data systems. It will identify successful approaches using an organizational and systems development perspective.]]></description>
      <pubDate>Mon, 30 Apr 2007 10:04:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/806914</guid>
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