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• 1. [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

• 2. [Article] Neighborhood Change and the Role of Environmental Stewardship: a Case Study of Green Infrastructure for Stormwater in the City of Portland, Oregon, USA

  Throughout the history of cities, the ecological landscape has often been buried, removed, or taken for granted. A recent recognition that humans are part of the global ecosystem, and that human actions ...

  Citation × Citation Citation Abstract Copy Title: Neighborhood Change and the Role of Environmental Stewardship: a Case Study of Green Infrastructure for Stormwater in the City of Portland, Oregon, USA Author: Shandas, Vivek Year: 2015 Throughout the history of cities, the ecological landscape has often been buried, removed, or taken for granted. A recent recognition that humans are part of the global ecosystem, and that human actions both cause and are affected by ecological change, brings with it an awareness of the value of nature in cities and of natural systems on which cities depend. The feedbacks between humans and their environment within an urban context can have profound implications for the growth of and change in cities, yet there is a limited understanding of the interactions between biophysical changes in cities and the implications of these changes on the quality of life for residents. The application of a coupled human and natural systems (CHANS) framework provides a timely and fruitful opportunity to enrich the theory, methods, and understanding of these feedbacks and interconnections. Here, I integrated biophysical and social dimensions relevant to managing urban stormwater by examining a case study of Portland, Oregon, USA. I used empirical data from a pre-post survey (2-yr span) of residents in eight urban neighborhoods to describe feedbacks and interactions between a localized biophysical change in the form of a large-scale decentralized stormwater program and the resulting changes in resident's perceptions in neighborhoods undergoing rapid change. My findings corroborate earlier findings suggesting that people with higher income and education levels are more likely to participate in stewardship actions. The results also suggest an overall and initial negative perception of neighborhoods facilities and services immediately following the construction of decentralized stormwater facilities, but conversely, high levels of anticipation for their construction. By describing these findings through a CHANS framework, I make explicit the importance of integrating scientific understanding, governance efforts, and human behaviors to address acute urban environmental challenges. Title: Neighborhood Change and the Role of Environmental Stewardship: a Case Study of Green Infrastructure for Stormwater in the City of Portland, Oregon, USA Author: Shandas, Vivek Year: 2015 Throughout the history of cities, the ecological landscape has often been buried, removed, or taken for granted. A recent recognition that humans are part of the global ecosystem, and that human actions both cause and are affected by ecological change, brings with it an awareness of the value of nature in cities and of natural systems on which cities depend. The feedbacks between humans and their environment within an urban context can have profound implications for the growth of and change in cities, yet there is a limited understanding of the interactions between biophysical changes in cities and the implications of these changes on the quality of life for residents. The application of a coupled human and natural systems (CHANS) framework provides a timely and fruitful opportunity to enrich the theory, methods, and understanding of these feedbacks and interconnections. Here, I integrated biophysical and social dimensions relevant to managing urban stormwater by examining a case study of Portland, Oregon, USA. I used empirical data from a pre-post survey (2-yr span) of residents in eight urban neighborhoods to describe feedbacks and interactions between a localized biophysical change in the form of a large-scale decentralized stormwater program and the resulting changes in resident's perceptions in neighborhoods undergoing rapid change. My findings corroborate earlier findings suggesting that people with higher income and education levels are more likely to participate in stewardship actions. The results also suggest an overall and initial negative perception of neighborhoods facilities and services immediately following the construction of decentralized stormwater facilities, but conversely, high levels of anticipation for their construction. By describing these findings through a CHANS framework, I make explicit the importance of integrating scientific understanding, governance efforts, and human behaviors to address acute urban environmental challenges. Close