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• 1. [Article] Spreading the Green and Sharing the Wealth

  Examines the effects and benefits of trees for the urban environment, and looks at recent studies that have attempted to define the benefits of urban trees. Discusses the implications of trees for city ...

  Citation × Citation Citation Abstract Copy Title: Spreading the Green and Sharing the Wealth Author: White, Rachel Year: 2009 Examines the effects and benefits of trees for the urban environment, and looks at recent studies that have attempted to define the benefits of urban trees. Discusses the implications of trees for city planning. Title: Spreading the Green and Sharing the Wealth Author: White, Rachel Year: 2009 Examines the effects and benefits of trees for the urban environment, and looks at recent studies that have attempted to define the benefits of urban trees. Discusses the implications of trees for city planning. Close

• 2. [Article] Integrating High-Resolution Datasets to Target Mitigation Efforts for Improving Air Quality and Public Health in Urban Neighborhoods

  Reducing exposure to degraded air quality is essential for building healthy cities. Although air quality and population vary at fine spatial scales, current regulatory and public health frameworks assess ...

  Citation × Citation Citation Abstract Copy Title: Integrating High-Resolution Datasets to Target Mitigation Efforts for Improving Air Quality and Public Health in Urban Neighborhoods Author: Shandas, Vivek, Voelkel, Jackson, Rao, Meenakshi, George, Linda A. Year: 2016 Reducing exposure to degraded air quality is essential for building healthy cities. Although air quality and population vary at fine spatial scales, current regulatory and public health frameworks assess human exposures using county- or city-scales. We build on a spatial analysis technique, dasymetric mapping, for allocating urban populations that, together with emerging fine-scale measurements of air pollution, addresses three objectives: (1) evaluate the role of spatial scale in estimating exposure; (2) identify urban communities that are disproportionately burdened by poor air quality; and (3) estimate reduction in mobile sources of pollutants due to local tree-planting efforts using nitrogen dioxide. Our results show a maximum value of 197% difference between cadastrally-informed dasymetric system (CIDS) and standard estimations of population exposure to degraded air quality for small spatial extent analyses, and a lack of substantial difference for large spatial extent analyses. These results provide the foundation for improving policies for managing air quality, and targeting mitigation efforts to address challenges of environmental justice. Title: Integrating High-Resolution Datasets to Target Mitigation Efforts for Improving Air Quality and Public Health in Urban Neighborhoods Author: Shandas, Vivek, Voelkel, Jackson, Rao, Meenakshi, George, Linda A. Year: 2016 Reducing exposure to degraded air quality is essential for building healthy cities. Although air quality and population vary at fine spatial scales, current regulatory and public health frameworks assess human exposures using county- or city-scales. We build on a spatial analysis technique, dasymetric mapping, for allocating urban populations that, together with emerging fine-scale measurements of air pollution, addresses three objectives: (1) evaluate the role of spatial scale in estimating exposure; (2) identify urban communities that are disproportionately burdened by poor air quality; and (3) estimate reduction in mobile sources of pollutants due to local tree-planting efforts using nitrogen dioxide. Our results show a maximum value of 197% difference between cadastrally-informed dasymetric system (CIDS) and standard estimations of population exposure to degraded air quality for small spatial extent analyses, and a lack of substantial difference for large spatial extent analyses. These results provide the foundation for improving policies for managing air quality, and targeting mitigation efforts to address challenges of environmental justice. Close

• 3. [Article] Cross-laminated Timber: An Innovative Building Material Takes Hold in Oregon

  In a rapidly urbanizing world fueled by the enormous demand to house and shelter billions of people in the upcoming decades, building materials must be utilized that have a lighter climate impact than ...

  Citation × Citation Citation Abstract Copy Title: Cross-laminated Timber: An Innovative Building Material Takes Hold in Oregon Author: Crampton, Andrew Year: 2017 In a rapidly urbanizing world fueled by the enormous demand to house and shelter billions of people in the upcoming decades, building materials must be utilized that have a lighter climate impact than today’s commonly used energy-intensive building materials. Is there an alternative to the energy-intensive concrete jungle that is both sustainable and financially viable? How can our built environment enhance, rather than destroy, the natural environment? Part of the solution lies in a recent innovation that uses one of the world’s oldest building materials, wood, with a modern twist: cross-laminated timber, often abbreviated as CLT. These wood-based structures can create an integration between the urban built environment and the natural world. Title: Cross-laminated Timber: An Innovative Building Material Takes Hold in Oregon Author: Crampton, Andrew Year: 2017 In a rapidly urbanizing world fueled by the enormous demand to house and shelter billions of people in the upcoming decades, building materials must be utilized that have a lighter climate impact than today’s commonly used energy-intensive building materials. Is there an alternative to the energy-intensive concrete jungle that is both sustainable and financially viable? How can our built environment enhance, rather than destroy, the natural environment? Part of the solution lies in a recent innovation that uses one of the world’s oldest building materials, wood, with a modern twist: cross-laminated timber, often abbreviated as CLT. These wood-based structures can create an integration between the urban built environment and the natural world. Close

• 4. [Article] Assessing the Potential of Land Use Modification to Mitigate Ambient NO2 and Its Consequences for Respiratory Health

  Understanding how local land use and land cover (LULC) shapes intra-urban concentrations of atmospheric pollutants—and thus human health—is a key component in designing healthier cities. Here, NO2 is modeled ...

  Citation × Citation Citation Abstract Copy Title: Assessing the Potential of Land Use Modification to Mitigate Ambient NO2 and Its Consequences for Respiratory Health Author: Rao, Meenakshi, George, Linda A., Shandas, Vivek, Rosenstiel, Todd N. Year: 2017 Understanding how local land use and land cover (LULC) shapes intra-urban concentrations of atmospheric pollutants—and thus human health—is a key component in designing healthier cities. Here, NO2 is modeled based on spatially dense summer and winter NO2 observations in Portland-Hillsboro-Vancouver (USA), and the spatial variation of NO2 with LULC investigated using random forest, an ensemble data learning technique. The NO2 random forest model, together with BenMAP, is further used to develop a better understanding of the relationship among LULC, ambient NO2 and respiratory health. The impact of land use modifications on ambient NO2, and consequently on respiratory health, is also investigated using a sensitivity analysis. We find that NO2 associated with roadways and tree-canopied areas may be affecting annual incidence rates of asthma exacerbation in 4–12 year olds by +3000 per 100,000 and -1400 per 100,000, respectively. Our model shows that increasing local tree canopy by 5% may reduce local incidences rates of asthma exacerbation by 6%, indicating that targeted local tree-planting efforts may have a substantial impact on reducing city-wide incidence of respiratory distress. Our findings demonstrate the utility of random forest modeling in evaluating LULC modifications for enhanced respiratory health. Title: Assessing the Potential of Land Use Modification to Mitigate Ambient NO2 and Its Consequences for Respiratory Health Author: Rao, Meenakshi, George, Linda A., Shandas, Vivek, Rosenstiel, Todd N. Year: 2017 Understanding how local land use and land cover (LULC) shapes intra-urban concentrations of atmospheric pollutants—and thus human health—is a key component in designing healthier cities. Here, NO2 is modeled based on spatially dense summer and winter NO2 observations in Portland-Hillsboro-Vancouver (USA), and the spatial variation of NO2 with LULC investigated using random forest, an ensemble data learning technique. The NO2 random forest model, together with BenMAP, is further used to develop a better understanding of the relationship among LULC, ambient NO2 and respiratory health. The impact of land use modifications on ambient NO2, and consequently on respiratory health, is also investigated using a sensitivity analysis. We find that NO2 associated with roadways and tree-canopied areas may be affecting annual incidence rates of asthma exacerbation in 4–12 year olds by +3000 per 100,000 and -1400 per 100,000, respectively. Our model shows that increasing local tree canopy by 5% may reduce local incidences rates of asthma exacerbation by 6%, indicating that targeted local tree-planting efforts may have a substantial impact on reducing city-wide incidence of respiratory distress. Our findings demonstrate the utility of random forest modeling in evaluating LULC modifications for enhanced respiratory health. Close