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  <title><![CDATA[PhD Defense by REID PASSMORE]]></title>
  <body><![CDATA[<p>School of Civil and Environmental Engineering</p><p>&nbsp;</p><p>Ph.D. Thesis Defense Announcement</p><p><strong>USING CHANGES IN REVEALED IMPEDANCE TO ASSESS THE POTENTIAL BENEFITS OF NEW CYCLING INFRASTRUCTURE USING BIKEWAYSIM</strong></p><p>By<strong>&nbsp;REID PASSMORE</strong></p><p>Advisor: <strong>Dr. Kari Watkins</strong></p><p>Committee Members:<strong>&nbsp; Dr. Randall Guensler (CEE), Dr. Angshuman Guin (CEE), Dr. Clio Andris (SCaRP and Interactive Computing), Dr. Chris LeDantec (Northeastern University)</strong></p><p>Date and Time:<strong>&nbsp; November 15, 2024.</strong></p><p><strong>12:00 – 3:00 PM EST / 9:00 AM – 12:00 PM PST</strong></p><p><strong>&nbsp;</strong></p><p>Location:&nbsp;Room 1104, 215 Sage St, Davis, CA</p><p>Zoom:&nbsp;<a href="https://gatech.zoom.us/j/94935518122"><strong>https://gatech.zoom.us/j/94935518122</strong></a></p><p><strong>&nbsp;</strong></p><p>&nbsp;</p><p>This research proposes a framework for assessing the impacts of new and existing cycling facilities&nbsp;<br>using minimum cycling impedance routing. Cycling impedance represents the relative difficulty of&nbsp;<br>cycling and considers travel time, exposure to automobiles, hills, and the provision of cycling&nbsp;<br>infrastructure. With map-matched cycling GPS traces from CycleAtlanta, this research calibrates&nbsp;<br>cycling impedance functions using particle swarm optimization. The calibrated impedance functions&nbsp;<br>are applied to a 250-square-mile Metro Atlanta study area network to assess the impact of 38&nbsp;<br>planned bicycle facilities on 3.6 million trips from the Atlanta Regional Commission Activity-Based&nbsp;<br>Model. Five metrics, trip impedance reduction, percent detour, change in link betweenness&nbsp;<br>centrality, impedance reduction contribution, and bikesheds highlight the impedance reduction&nbsp;<br>impacts of new cycling infrastructure. Planners, engineers, and advocacy groups can utilize the&nbsp;<br>framework to evaluate proposed cycling infrastructure and prioritize projects that stand to reduce&nbsp;<br>the most cycling impedance. As new cycling trace data and network data become available,&nbsp;<br>researchers can update the impedance functions to reflect the behavior of current cyclists and&nbsp;<br>develop new impedance factors.<br>&nbsp;</p>]]></body>
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      <value><![CDATA[<p><strong>USING CHANGES IN REVEALED IMPEDANCE TO ASSESS THE POTENTIAL BENEFITS OF NEW CYCLING INFRASTRUCTURE USING BIKEWAYSIM</strong></p>]]></value>
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      <value><![CDATA[2024-11-15T12:00:00-05:00]]></value>
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