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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>Analysis of Public Transportation Health Impacts and Benefits</title>
      <link>https://rip.trb.org/View/1893356</link>
      <description><![CDATA[Investments in public transportation can result in improved health outcomes in multiple dimensions: directly to individuals from increases in physical activity; indirectly to individuals through access to economic, educational, and social opportunities which are critical social determinants of health; as well as population-level reductions in negative environmental and safety impacts associated with automobiles. This research identified health benefits to transit riders and communities, discussed how these benefits can be measured and incorporated in decision-making, and provided communication tools directed to the public and decision-makers regarding the health benefits of public transportation. 

Under Transit Cooperative Research Program (TCRP) project J-11/Task 43, Analysis of Public Transportation Health Impacts and Benefits Steer was asked to develop an evidence-informed resource for public transportation agencies and their partners that focuses on the physical and mental health benefits of public transportation in urban, suburban, and rural areas. ]]></description>
      <pubDate>Thu, 25 Nov 2021 13:17:17 GMT</pubDate>
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      <title>Monitoring Daily Activities and Linking Physical Activity Levels Attributed to Transportation Mobility Choices and Built Environment </title>
      <link>https://rip.trb.org/View/1483422</link>
      <description><![CDATA[The relationship between transportation and health may play a significant role in improving the public’s wellbeing due to physical activities and health benefits of active transportation. Travel behavior researchers need to investigate the relationship between transportation mode choices and human health by observing traveler
behaviors and their effect on physical activity and public health. This research identifies and categorizes the health outcomes from daily physical activity and daily travel activities by employing wearable devices with sensing and GPS tracking technology. In this study, the research team develops an integrated data collection and processing platform named “PASTA” to monitor the participant’s daily travel and physical activities. This platform automates data collection and integrates the big data processing of daily travel GPS trajectories from a mobile application designed by the research team with physical activity data from the Fitbit Charge 2/3. The study collects data from a total of 120 participants from Kalamazoo, MI, and Arlington, TX for a 6-month period. The PASTA platform requires many different analyses to observe the transportation impact on health outcomes; these include user activity/trip recognition and transportation mode detection. The study also explores the association between physical activity and an individual’s socioeconomic-body composition profile and proposes fusion into an integrated transportation and health impact model (ITHIM). Arlington participants use more active transportation (bicycle and walking) than Kalamazoo participants who use public transit more frequently. For activity/trip recognition, the study observes the highest accuracy for the combined Geohash-GIS approach with a dwell time of 5 minutes. The Random Forest model outperforms the other machine learning models in terms of transportation mode detection. The participant’s BMI, age, gender, and baseline active travel time show a direct effect on the transportation-related physical activity level. This research provides a method to quantify the amount of physical activity and health benefits associated with transportation activity.]]></description>
      <pubDate>Thu, 21 Sep 2017 14:02:44 GMT</pubDate>
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      <title>Developing Performances Measures to Capture the Effects of Transportation Facilities on Multiple Public Health Outcomes</title>
      <link>https://rip.trb.org/View/1318419</link>
      <description><![CDATA[Programs such as Safe Routes to School (SRTS), have received federal support to improve safety on walking and bicycling routes to school and encourage more children and families to travel using these modes; however, empirical evidence suggests this type of transportation facility investment may influence public health outcomes. The program is designed to work at the community level in five areas (evaluation, education, encouragement, engineering and enforcement) to address health, safety and traffic concerns that include: increasing safe, convenient physical activity for children; decreasing traffic congestion; and improving air quality for communities. While evidence suggests a relationship between the built environment, school-focused interventions, and public health outcomes, there is less evidence of the holistic effects of particular types of transportation facilities on public health objectives. For example, while active modes of transportation may improve physical activity, increasing physical activity might also expose students to higher levels of air pollutants or put children in unsafe conditions.  The purpose of the proposed project is to develop performance measures that take into account the multiple public health goals of transportation facilities. The development of such measures can enhance knowledge in this area and improve the information available to decision-makers on the effects of transportation facilities on the multiple public health objectives of safety, air quality and physical activity. Specifically, the research team will develop performance measures related to air quality, safety and physical activity, pilot these measures in two locations, Kalamazoo, Michigan and Arlington, Texas, establish benchmarks for the measures that identify desirable and undesirable levels of performance, and develop a project-level performance tool. In addition, the research team will develop easy-to-understand educational materials that will be disseminated via a "Healthy Transportation Facilities" Web Page and through webinars to state and local policy decision makers.]]></description>
      <pubDate>Wed, 06 Aug 2014 01:01:10 GMT</pubDate>
      <guid>https://rip.trb.org/View/1318419</guid>
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      <title>Developing Performances Measures to Capture the Effects of Transportation Facilities on Multiple Public Health Outcomes: A Case in Michigan</title>
      <link>https://rip.trb.org/View/1318418</link>
      <description><![CDATA[Transportation systems constitute of infrastructure, commute modes, land use and other policies. The purpose of transportation is to provide easy access to goods and services. While attaining this purpose, impacts of transportation on human health and well-being have been ignored to some extent. Recently, studies have begun analyzing the impact of transportation systems on quality of life and health disparities. While many studies have discussed the impact of the transportation system on individual factors from health, a very limited number of studies have focused on the impact of multiple factors associated with multiple morbidity and mortality forms. The focus of this study is to analyze how transportation infrastructure can promote physical activities resulting in better health outcomes. Lack of data on transportation infrastructure at county-level in Michigan restricted the study. The Transportation and Health Tool developed by the US Department of Transportation was reviewed and applied to Michigan at a county-level to examine how different counties rank with respect to different transportation indicators corresponding to health conditions. Further, correlation analyses and multinomial linear regression analyses were conducted to determine relationships and impact magnitudes of transportation and socioeconomic factors on human health.]]></description>
      <pubDate>Wed, 06 Aug 2014 01:01:07 GMT</pubDate>
      <guid>https://rip.trb.org/View/1318418</guid>
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