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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>ACRP Insight Event: General Aviation Financial Sustainability</title>
      <link>https://rip.trb.org/View/2772549</link>
      <description><![CDATA[General aviation (GA) airports continue to face challenges in achieving long-term financial sustainability while addressing infrastructure, operational, and facility needs. Although recent federal funding has provided significant investment in airports, many projects important to GA airports are not eligible for Airport Improvement Program funding, and smaller airports often rely on fuel flowage fees, hangar rents, land leases, and limited local government support. Financial sustainability remains a key issue as airports explore current and future revenue opportunities, funding strategies, and partnerships.  The objective of this project is to conduct up to three regional ACRP Insight Event workshops that bring together airport practitioners, stakeholders, and subject matter experts to explore and evaluate current and potential financial models and revenue strategies for general aviation airports. The workshops will address topics identified by the project panel, promote regional participation beyond a single meeting in Washington, D.C., and identify future research needs and problem statements for committee consideration. The project will produce a Transportation Insights publication, a post-event technical report, and at least two problem statements for potential future ACRP research.]]></description>
      <pubDate>Wed, 02 Sep 2026 16:48:14 GMT</pubDate>
      <guid>https://rip.trb.org/View/2772549</guid>
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      <title>Monitoring and Speciation of Particulate Matter Under 2.5 Microns (PM2.5) Composition across Texas Counties</title>
      <link>https://rip.trb.org/View/2593191</link>
      <description><![CDATA[Texas needs a detailed understanding of statewide particulate matter under 2.5 microns (PM2.5) sources, as current regulatory monitoring lacks the granularity for source apportionment. Since speciated PM2.5 data is limited, the research team will collect and analyze samples from multiple regions nearing or exceeding the 9.0 µg/m3 threshold set by the Environmental Protection Agency (EPA). The research team will conduct source apportionment analysis and highlight the prominent sources of PM2.5 emissions by region. This will support future research and regulatory efforts, such as developing and implementation appropriate emission reduction strategies. The research team will collaborate with state and local governments, academia and other stakeholders, to acquire any existing data and ensure local regulations and best practices are met. The research team will collaborate with the Texas Department of Transportation (TxDOT) project 0-7257, "The Effects of Road Types and Construction Activities on Particulate Matter and Development of Best Practices for PM2.5 Reduction" by sharing data, resources, and coordinating efforts to enhance data collection and analysis.]]></description>
      <pubDate>Tue, 26 Aug 2025 12:42:34 GMT</pubDate>
      <guid>https://rip.trb.org/View/2593191</guid>
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      <title>Guide to Analyzing Economic Impact of Changes in Air Service Connectivity</title>
      <link>https://rip.trb.org/View/2588337</link>
      <description><![CDATA[No abstract provided.]]></description>
      <pubDate>Tue, 12 Aug 2025 09:53:38 GMT</pubDate>
      <guid>https://rip.trb.org/View/2588337</guid>
    </item>
    <item>
      <title>Megaregional Traffic Impact of COVID-19 Pandemic: Analysis of Activity Restriction</title>
      <link>https://rip.trb.org/View/1878376</link>
      <description><![CDATA[The COVID-19 pandemic brought unprecedented levels of disruption to countries throughout the world. In the United States, governmental directives varied over time, beginning with voluntary stay-at-home requests and restrictions on large public gatherings, then, later, virtual statewide lock down quarantines. However, travel in various forms continued throughout the country. Most notable of these were activities deemed essential for the public good, such as for people to access food, medical care, and other basic life necessities for public health, welfare, and safety. While the ultimate intent of these restrictions, to slow the progression of the virus and limit fatalities, will take time to assess, other effects of travel and social interaction restriction can already be studied. Therefore, this study seeks to assess people interaction and social behavior using travel data at a megaregional level during COVID-19 pandemic which could be useful for operational and strategic planning of recovery efforts and for dealing with future pandemics.]]></description>
      <pubDate>Thu, 16 Sep 2021 16:56:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/1878376</guid>
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      <title>Robustness of Transportation Networks under Megaregion Evacuations</title>
      <link>https://rip.trb.org/View/1517662</link>
      <description><![CDATA[Evacuations, the movement of people from locations of imminent or potential danger to locations of safety, are a key element to protect the health and safety of the public in the event of disasters. Different factors related to the evacuation process could affect how fast an at-risk area is evacuated. These include overall demand, departure time, driving behavior, weather conditions, etc. However, the characteristics of the at-risk area (and the surrounding areas) could also have a significant impact. The most obvious of these is the available network capacity. Additional factors such as network topology and population density can also be 
associated to network performance. Therefore, this research will identify and investigate possible associations between network performance with the network characteristics (e.g. available capacity, network topology), and surges of demand such as that observed in an evacuation. Traffic simulation will be used to assess different scenarios using a small network for proof-of-concept and later scaled to megaregions. Based on the analysis, a network robustness measure will be developed with consideration of all the above mentioned characteristics. In 
addition, this research will investigate applications of the robustness measure in CAV environments. ]]></description>
      <pubDate>Fri, 29 Jun 2018 15:23:08 GMT</pubDate>
      <guid>https://rip.trb.org/View/1517662</guid>
    </item>
    <item>
      <title>Regional Comparative Advantage for Woody Biofuels Production</title>
      <link>https://rip.trb.org/View/1368830</link>
      <description><![CDATA[No summary provided.]]></description>
      <pubDate>Tue, 15 Sep 2015 09:53:12 GMT</pubDate>
      <guid>https://rip.trb.org/View/1368830</guid>
    </item>
    <item>
      <title>Studying the Effects of Aircraft Exhaust on Global and Regional Climate</title>
      <link>https://rip.trb.org/View/1363057</link>
      <description><![CDATA[The direct impact of aviation on climate via the emission of greenhouse gases and particles is small relative to other anthropogenic sources. However, the potential impact of aviation on climate is unique because aviation associated sources occur at high altitudes where other anthropogenic sources are absent, and aircraft are the only major source of emissions above the Arctic Circle. The climatic and chemical impact of aviation emissions and the resulting contrails and contrail-enhanced cirrus in the troposphere and stratosphere may be significant. There are large uncertainties in relating aviation emissions to changes in radiative forcing or surface temperature, especially for contrail-associated pathways. The research seeks to find robust relationships between aircraft emissions and the properties of contrails generated by aircraft under a variety of atmospheric conditions using both a high-resolution large-eddy simulation model and telescoping global-regional climate model.]]></description>
      <pubDate>Sat, 25 Jul 2015 01:00:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/1363057</guid>
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