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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>Identifying Factors to Improve Bicycle Lane Safety in Pittsburgh, PA</title>
      <link>https://rip.trb.org/View/2440029</link>
      <description><![CDATA[Most serious crashes involving bicyclists occur at non-intersecting road locations. Over the past decade, there has been a steady increase in the number of bicyclist fatalities. According to the U.S. Department of Transportation National Highway Traffic Safety Administration (NHTSA) crash report and Fatality Analysis Reporting System (FARS), there was a record low 623 bicyclist fatalities in 2010 and it climbed to 966 fatalities in 2021, which is the highest it has been since 1975. This is a surprising trend given that many states, cities, and municipalities have been installing bicycle lanes to accommodate the increasing number of bicyclists. Overall, bicycle lanes have reduced crashes up to 49% on urban 4-lane roads and 30% on 2-lane urban roads and reduced fatalities for all road users. However, these studies aggregated data from 12 different cities and therefore, due to a variety of factors, some individual cities did not see crash reductions of this magnitude. For example, when looking at shared bicycle lanes, there was an 18% risk reduction in New York City but no benefit Chicago. 
The research team proposes a study to identify factors for improving bicycle lane safety in Pittsburgh. Over the past 20 years, bicycle lanes in Pittsburgh have increased from 10 miles to over 100 miles. The team will assess bicycles lanes in Pittsburgh and provide valuable information to the city to aid in their plans to expand bicycle lanes by 150 miles over the next decade. The team will take a three-pronged approach to assessing bicycle lane safety. First, crash data will be analyzed and compared to data from similar cities. Second, surveys will gather information (e.g., attitude, incidents, etc.) based on personal experiences using bike lanes. Finally, the team will develop and deploy a camera-based platform that automatically computes bicycle lane analytics, which will include information on when, where, and how often the bicycle lanes are most often used. The team will also automatically identify hazards in or near bike lanes. Hazards may include stopped or parked vehicles, potholes, crashes, near-misses, fallen debris, snow, etc. These computed analytics may be shared with bicycle riders via a smartphone app to aid in planning and with Pittsburgh’s Department of Mobility and Infrastructure to address any issues and aid in planning the expansion of Pittsburgh’s bicycle network. For example, vehicles frequently stopped in an unprotected bike lane in a commercial district may indicate that delivery drivers are using the bike lane as temporary parking, which can be resolved by making the bike lane protected. ]]></description>
      <pubDate>Sun, 13 Oct 2024 10:50:19 GMT</pubDate>
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      <title>Assessing Pavement Rehabilitation Strategies</title>
      <link>https://rip.trb.org/View/2250701</link>
      <description><![CDATA[Mobility from home to areas of work, education, and essential services is a serious concern for families. It has been found that among households earning less than $25,000 per year, 47% were hindered from carrying out their normal activities due to a lack of available transportation. The research proposal delineates two primary objectives: identification and remediation. Centered on the case study of Pittsburgh, the project seeks to identify specific corridors that link neighborhoods with essential services such as work, schools, universities, grocery stores, hospitals, etc. Historical practices pertaining to asset management will be evaluated for these corridors.]]></description>
      <pubDate>Thu, 21 Sep 2023 14:46:49 GMT</pubDate>
      <guid>https://rip.trb.org/View/2250701</guid>
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      <title>Evaluating Pittsburgh's Universal Basic Mobility Pilot Program</title>
      <link>https://rip.trb.org/View/1981116</link>
      <description><![CDATA[The city of Pittsburgh's Department of Mobility and Infrastructure (DOMI) and Move PGH have asked Carnegie Mellon to evaluate the impact of their innovative Universal Basic Mobility project on the geographic and socioeconomic mobility of low-income Pittsburgh residents.  Lee Branstetter will lead the evaluation effort, using smartphone apps to measure the impact on geographic mobility and an existing partnership with Allegheny County DHS to leverage the resources of the DHS data warehouse to measure the impact on socioeconomic mobility.]]></description>
      <pubDate>Fri, 10 Jun 2022 15:20:45 GMT</pubDate>
      <guid>https://rip.trb.org/View/1981116</guid>
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      <title>Controlled Deployment of Analytical Solutions for Essential Transportation Services in Low-Income Neighborhoods</title>
      <link>https://rip.trb.org/View/1981120</link>
      <description><![CDATA[Heritage Community Transportation (HCT) provides essential transportation service in low-income neighborhoods in east Pittsburgh. HCT’s future is in flux due to a 50% drop in ridership since COVID and uncertainty in funding. By the end of an existing project with HCT in June 2022, the research team will have proposed a service change for one of HCT’s routes. The team plans to collaborate with HCT for another year (July 2022 – June 2023) to fully roll out the deployment in a controlled way, which will help evaluate technical solutions on the ground and adjust quickly to ensure the overall success and continuity of service change. This project also provides opportunities for faculty and students to learn and conduct research in an under-studied area.]]></description>
      <pubDate>Fri, 10 Jun 2022 15:07:45 GMT</pubDate>
      <guid>https://rip.trb.org/View/1981120</guid>
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