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• 1. [Article] Impacts of Bus Rapid Transit (BRT) on Surrounding Residential Property Values

  As bus rapid transit (BRT) grows in popularity in the United States, a better understanding of the mode’s impacts on land uses and property values is needed. Economic theory suggests, and literature has ...

  Citation × Citation Citation Abstract Copy Title: Impacts of Bus Rapid Transit (BRT) on Surrounding Residential Property Values Author: Perk, Victoria, Catalá, Martin, Mantius, Maximillian, Corcoran, Katrina Year: 2017 As bus rapid transit (BRT) grows in popularity in the United States, a better understanding of the mode’s impacts on land uses and property values is needed. Economic theory suggests, and literature has shown, that people are willing to pay higher housing costs to lower their costs of transportation to areas of economic activity. Does high-quality BRT service reliably provide such access and, thereby, increase residential property values? The hypothesis is that property values are higher closer to BRT stations, reflecting a premium for the access provided by the BRT service to various goods, services, employment, education, and recreation. There has been some work on this topic outside of the U.S.; however, due to various cultural, social, and institutional differences, those experiences may not be applicable to U.S. property values. The literature includes, to date, very little work on U.S. BRT systems’ impacts on property values using robust econometric techniques and/or spatial modeling. Further, because every BRT system is different, it is necessary to analyze additional case studies to provide a more robust understanding of how modern U.S. experiences with BRT services may affect surrounding property values. This research contributes to the relatively small body of literature on property value impacts of BRT in the U.S. by conducting a case study on Lane Transit District’s EmX BRT service (Eugene, Oregon) using econometric modeling techniques to estimate changes in property values associated with the BRT. The analysis is based on hedonic price regression analysis, where sale prices are modeled using several property characteristics that contribute to the market or sale price. The findings of this research indicate that the EmX BRT system does positively impact surrounding single-family home sale prices. Results are statistically significant yet, as expected, relatively small in magnitude. An interesting finding is that the impact of the EmX stations on property values increased in each of the three periods examined in this study. For 2005 single-family home sales, the price increased $823 on average for every 100 meters closer to a station. In 2010, the marginal impact increased to an average of $1,056 for every 100 meters closer to a station. In 2016, every 100 meters closer to a station adds an average of $1,128 to a home’s sale price. These results provide further insight into how BRT services can enhance the livability and economic development in a community, and provide policymakers and the transit industry throughout the U.S. with the best information possible to make informed transit investment decisions in their communities. Title: Impacts of Bus Rapid Transit (BRT) on Surrounding Residential Property Values Author: Perk, Victoria, Catalá, Martin, Mantius, Maximillian, Corcoran, Katrina Year: 2017 As bus rapid transit (BRT) grows in popularity in the United States, a better understanding of the mode’s impacts on land uses and property values is needed. Economic theory suggests, and literature has shown, that people are willing to pay higher housing costs to lower their costs of transportation to areas of economic activity. Does high-quality BRT service reliably provide such access and, thereby, increase residential property values? The hypothesis is that property values are higher closer to BRT stations, reflecting a premium for the access provided by the BRT service to various goods, services, employment, education, and recreation. There has been some work on this topic outside of the U.S.; however, due to various cultural, social, and institutional differences, those experiences may not be applicable to U.S. property values. The literature includes, to date, very little work on U.S. BRT systems’ impacts on property values using robust econometric techniques and/or spatial modeling. Further, because every BRT system is different, it is necessary to analyze additional case studies to provide a more robust understanding of how modern U.S. experiences with BRT services may affect surrounding property values. This research contributes to the relatively small body of literature on property value impacts of BRT in the U.S. by conducting a case study on Lane Transit District’s EmX BRT service (Eugene, Oregon) using econometric modeling techniques to estimate changes in property values associated with the BRT. The analysis is based on hedonic price regression analysis, where sale prices are modeled using several property characteristics that contribute to the market or sale price. The findings of this research indicate that the EmX BRT system does positively impact surrounding single-family home sale prices. Results are statistically significant yet, as expected, relatively small in magnitude. An interesting finding is that the impact of the EmX stations on property values increased in each of the three periods examined in this study. For 2005 single-family home sales, the price increased $823 on average for every 100 meters closer to a station. In 2010, the marginal impact increased to an average of $1,056 for every 100 meters closer to a station. In 2016, every 100 meters closer to a station adds an average of $1,128 to a home’s sale price. These results provide further insight into how BRT services can enhance the livability and economic development in a community, and provide policymakers and the transit industry throughout the U.S. with the best information possible to make informed transit investment decisions in their communities. Close

• 2. [Article] Impact of Bike Facilities on Residential Property Prices

  As many cities are investing in street improvement or transportation infrastructure upgrade projects to provide better bike access or more complete bike networks, the economic value of bike infrastructure ...

  Citation × Citation Citation Abstract Copy Title: Impact of Bike Facilities on Residential Property Prices Author: Shi, Wei Year: 2017 As many cities are investing in street improvement or transportation infrastructure upgrade projects to provide better bike access or more complete bike networks, the economic value of bike infrastructure and bike facilities remains an area where many practitioners, planners and policy makers are seeking more conclusive evidence. Using residential property values as indicators of consumer preferences for bicycle infrastructure, this study focuses on advanced bike facilities which represent higher levels of bike priority or bike infrastructure investments that have been shown to be more desirable to a larger portion of the population. Estimating ordinary least squares hedonic pricing models and spatial autoregressive hedonic models separately for single and multi-family properties, we find that proximity to advanced bike facilities (measured by distance) has significant and positive effects on all residential property values, highlighting household preferences for high quality bike infrastructure. Furthermore, we also show that the extensiveness of the bike network (measured by density) is a positive and statistically significant contributor to the property prices for all residential property types, even after controlling for proximity to bike facilities and other property, neighborhood and transaction characteristics. Finally, estimated coefficients are applied to assess property value impacts of a proposed Portland “Green Loop” signature bike infrastructure concept, illustrating the importance of considering both accessibility and extensiveness of bike facility networks. Title: Impact of Bike Facilities on Residential Property Prices Author: Shi, Wei Year: 2017 As many cities are investing in street improvement or transportation infrastructure upgrade projects to provide better bike access or more complete bike networks, the economic value of bike infrastructure and bike facilities remains an area where many practitioners, planners and policy makers are seeking more conclusive evidence. Using residential property values as indicators of consumer preferences for bicycle infrastructure, this study focuses on advanced bike facilities which represent higher levels of bike priority or bike infrastructure investments that have been shown to be more desirable to a larger portion of the population. Estimating ordinary least squares hedonic pricing models and spatial autoregressive hedonic models separately for single and multi-family properties, we find that proximity to advanced bike facilities (measured by distance) has significant and positive effects on all residential property values, highlighting household preferences for high quality bike infrastructure. Furthermore, we also show that the extensiveness of the bike network (measured by density) is a positive and statistically significant contributor to the property prices for all residential property types, even after controlling for proximity to bike facilities and other property, neighborhood and transaction characteristics. Finally, estimated coefficients are applied to assess property value impacts of a proposed Portland “Green Loop” signature bike infrastructure concept, illustrating the importance of considering both accessibility and extensiveness of bike facility networks. Close

• 3. [Article] Webinar: Economic Impacts from Bicycle and Pedestrian Street Improvements

  As many cities are investing in street improvements to provide better biking and walking experiences, the economic value and impacts of these active transportation facilities remain areas where many practitioners, ...

  Citation × Citation Citation Abstract Copy Title: Webinar: Economic Impacts from Bicycle and Pedestrian Street Improvements Author: Liu, Jenny H. Year: 2017 As many cities are investing in street improvements to provide better biking and walking experiences, the economic value and impacts of these active transportation facilities remain areas where many practitioners, planners and policy makers are seeking more conclusive evidence. With various modes competing for scarce resources, planners and transportation agencies often struggle with how to justify infrastructure investments for non-motorized modes, particularly when driving is still the predominant mode of transportation in most cities. In this project we assess property value impacts of Portland’s “Green Loop” signature bike infrastructure concept, illustrating the importance of considering both accessibility and extensiveness of bike facility networks. The Green Loop is a proposed 6-mile linear open space running through the heart of Portland, connecting existing and new open spaces, parks, gathering areas, and walking and biking pathways. As envisioned, the Green Loop concept requires significant infrastructure investments, and would result in both short-term and long-term impacts on transportation (for all travel modes), economic development and the environment. In collaboration with the Portland Bureau of Planning and Sustainability (BPS), the Portland State University Institute for Sustainable Solutions (ISS), and in partnership with PeopleForBikes and the Summit Foundation, the goal of this research is to characterize, quantify and analyze these costs, benefits and impacts, particularly focusing on case studies of similar infrastructure investments in active transportation. In this webinar, we will further focus on the residential property value impacts associated with advanced bike facilities. We find that proximity to advanced bike facilities has significant and positive effects on all property values, highlighting household preferences for high quality bike infrastructure. The lessons and research gaps identified in this work led to the development of two ongoing NITC-funded studies: "Understanding Economic and Business Impacts of Street Improvements for Bicycle and Pedestrian Mobility - A Multi-City Multi-Approach Exploration" and "Understanding the economic impacts of urban greenway infrastructure." We will share some updates on these ongoing projects as well. Key learning outcomes include: A framework for understanding the economic results of bicycle and pedestrian investments, with data to show: Evidence of impacts on residential property values Evidence of impacts on on business and retail activity Insight into potential short-term and long-term impacts of the Portland Green Loop A method for estimating economic impacts of similar proposed active transportation projects Title: Webinar: Economic Impacts from Bicycle and Pedestrian Street Improvements Author: Liu, Jenny H. Year: 2017 As many cities are investing in street improvements to provide better biking and walking experiences, the economic value and impacts of these active transportation facilities remain areas where many practitioners, planners and policy makers are seeking more conclusive evidence. With various modes competing for scarce resources, planners and transportation agencies often struggle with how to justify infrastructure investments for non-motorized modes, particularly when driving is still the predominant mode of transportation in most cities. In this project we assess property value impacts of Portland’s “Green Loop” signature bike infrastructure concept, illustrating the importance of considering both accessibility and extensiveness of bike facility networks. The Green Loop is a proposed 6-mile linear open space running through the heart of Portland, connecting existing and new open spaces, parks, gathering areas, and walking and biking pathways. As envisioned, the Green Loop concept requires significant infrastructure investments, and would result in both short-term and long-term impacts on transportation (for all travel modes), economic development and the environment. In collaboration with the Portland Bureau of Planning and Sustainability (BPS), the Portland State University Institute for Sustainable Solutions (ISS), and in partnership with PeopleForBikes and the Summit Foundation, the goal of this research is to characterize, quantify and analyze these costs, benefits and impacts, particularly focusing on case studies of similar infrastructure investments in active transportation. In this webinar, we will further focus on the residential property value impacts associated with advanced bike facilities. We find that proximity to advanced bike facilities has significant and positive effects on all property values, highlighting household preferences for high quality bike infrastructure. The lessons and research gaps identified in this work led to the development of two ongoing NITC-funded studies: "Understanding Economic and Business Impacts of Street Improvements for Bicycle and Pedestrian Mobility - A Multi-City Multi-Approach Exploration" and "Understanding the economic impacts of urban greenway infrastructure." We will share some updates on these ongoing projects as well. Key learning outcomes include: A framework for understanding the economic results of bicycle and pedestrian investments, with data to show: Evidence of impacts on residential property values Evidence of impacts on on business and retail activity Insight into potential short-term and long-term impacts of the Portland Green Loop A method for estimating economic impacts of similar proposed active transportation projects Close

• 4. [Article] On Both Sides of the Tracks: Light Rail and Gentrification in Portland, Oregon

  This study draws on census data and geographic information systems (GIS) to investigate the relationship between light rail transit (LRT) infrastructure development and gentrification in Portland, Oregon. ...

  Citation × Citation Citation Abstract Copy Title: On Both Sides of the Tracks: Light Rail and Gentrification in Portland, Oregon Author: Rochester, Nathan Eric Year: 2016 This study draws on census data and geographic information systems (GIS) to investigate the relationship between light rail transit (LRT) infrastructure development and gentrification in Portland, Oregon. While recent research using comprehensive measures of neighborhood socioeconomic status (SES) supports a potentially causal link between transit development and gentrification, research into the effects of transit on property values alone tends to dominate the discourse. This study therefore seeks to build on previous research to develop an index measure of neighborhood SES and SES change based on measures of education, occupation, and income, using census data from 1980-2010. This multifaceted measure of neighborhood SES is analyzed in relation to LRT access using correlation, OLS regression, and GIS hot spot and choropleth mapping. Findings: Throughout the study period, low SES neighborhoods largely disappeared from the City of Portland, while low-income households were gradually priced out. Simultaneously, the easternmost suburb of Gresham became more highly concentrated in low SES neighborhoods. No definitive relationship between LRT and SES is found along the Eastside Blue or Westside Blue Lines, but strong evidence is found supporting a positive effect of Yellow Line MAX development on the rapid gentrification of North Portland from 2000-2010. Regressions run on neighborhoods along the Yellow Line indicate that SES change was greatest for those that began the decade with large Black populations, low rents, and close proximity to stations. Findings are discussed through the theoretical framework of the urban growth machine, which suggests the differential relationship between LRT and neighborhood SES relates to the distinct values of different parts of the region for the pursuit of general growth goals. Title: On Both Sides of the Tracks: Light Rail and Gentrification in Portland, Oregon Author: Rochester, Nathan Eric Year: 2016 This study draws on census data and geographic information systems (GIS) to investigate the relationship between light rail transit (LRT) infrastructure development and gentrification in Portland, Oregon. While recent research using comprehensive measures of neighborhood socioeconomic status (SES) supports a potentially causal link between transit development and gentrification, research into the effects of transit on property values alone tends to dominate the discourse. This study therefore seeks to build on previous research to develop an index measure of neighborhood SES and SES change based on measures of education, occupation, and income, using census data from 1980-2010. This multifaceted measure of neighborhood SES is analyzed in relation to LRT access using correlation, OLS regression, and GIS hot spot and choropleth mapping. Findings: Throughout the study period, low SES neighborhoods largely disappeared from the City of Portland, while low-income households were gradually priced out. Simultaneously, the easternmost suburb of Gresham became more highly concentrated in low SES neighborhoods. No definitive relationship between LRT and SES is found along the Eastside Blue or Westside Blue Lines, but strong evidence is found supporting a positive effect of Yellow Line MAX development on the rapid gentrification of North Portland from 2000-2010. Regressions run on neighborhoods along the Yellow Line indicate that SES change was greatest for those that began the decade with large Black populations, low rents, and close proximity to stations. Findings are discussed through the theoretical framework of the urban growth machine, which suggests the differential relationship between LRT and neighborhood SES relates to the distinct values of different parts of the region for the pursuit of general growth goals. Close

• 5. [Article] Green Mind Gray Yard: Micro Scale Assessment of Ecosystem Services

  There is a spatial mismatch between the size of the area where people are living and the extent of land needed to ecologically support developed areas. More people are living in urban areas than any time ...

  Citation × Citation Citation Abstract Copy Title: Green Mind Gray Yard: Micro Scale Assessment of Ecosystem Services Author: Kirkpatrick, Erin Jolene Year: 2013 There is a spatial mismatch between the size of the area where people are living and the extent of land needed to ecologically support developed areas. More people are living in urban areas than any time in history, and the resources need to support cities have had to expand to try and meet the demands of increasing urban populations. However, areas of opportunity exist for urban areas to begin to positively contribute towards the available resources in a region. Because a large portion of urban areas is within private control, gaining a baseline understanding of how residents interact with ecosystem services served as basis of this study. Using a survey of residents in the Portland, OR area, correlations between demographic groups and questions regarding their beliefs, attitudes, and behaviors as they relate to vegetation proved that the knowledge of environmental relationships is an important first step in creating pro-environmental behavior. Those reporting a high level of knowledge for ecological system and processes were more likely to value the benefits of vegetation for other associated reasons, such as for recreational activities, aesthetic purposes, and air or water quality. Additionally, survey responses were mapped to spatial data to gain an understanding of the spatial characteristics of neighborhoods in the survey area and how they have changed over time. Overall, the results in the study display trends that can help outreach organizations and municipalities to determine plans to strategically engage the public in a way that could create a net gain in urban ecosystem services. Title: Green Mind Gray Yard: Micro Scale Assessment of Ecosystem Services Author: Kirkpatrick, Erin Jolene Year: 2013 There is a spatial mismatch between the size of the area where people are living and the extent of land needed to ecologically support developed areas. More people are living in urban areas than any time in history, and the resources need to support cities have had to expand to try and meet the demands of increasing urban populations. However, areas of opportunity exist for urban areas to begin to positively contribute towards the available resources in a region. Because a large portion of urban areas is within private control, gaining a baseline understanding of how residents interact with ecosystem services served as basis of this study. Using a survey of residents in the Portland, OR area, correlations between demographic groups and questions regarding their beliefs, attitudes, and behaviors as they relate to vegetation proved that the knowledge of environmental relationships is an important first step in creating pro-environmental behavior. Those reporting a high level of knowledge for ecological system and processes were more likely to value the benefits of vegetation for other associated reasons, such as for recreational activities, aesthetic purposes, and air or water quality. Additionally, survey responses were mapped to spatial data to gain an understanding of the spatial characteristics of neighborhoods in the survey area and how they have changed over time. Overall, the results in the study display trends that can help outreach organizations and municipalities to determine plans to strategically engage the public in a way that could create a net gain in urban ecosystem services. Close

• 6. [Article] The Kazaks of Istanbul: A Case of Social Cohesion, Economic Breakdown and the Search for a Moral Economy

  This research is focused on understanding the ways in which the community orientation of the Kazak ethnic community in Istanbul, Turkey have contributed to their economic success which in turn encourages ...

  Citation × Citation Citation Abstract Copy Title: The Kazaks of Istanbul: A Case of Social Cohesion, Economic Breakdown and the Search for a Moral Economy Author: Auger, Daniel Marc Year: 2016 This research is focused on understanding the ways in which the community orientation of the Kazak ethnic community in Istanbul, Turkey have contributed to their economic success which in turn encourages strong community, and the nature of their community-based support networks for providing material and cultural support. It examines the role of social capital and cohesion in maintaining the community with its positive implications for the continued building of wealth or sourcing of funding on a community level. The theoretical concepts relevant to this project are based on the ideas that the shared values of a community are a positive force that allow communities to achieve common goals and is particularly important in the context of an economy that favors cheap labor and a highly mobile workforce, both factors that negatively affect the asset building and place-based rootedness that communities require for their stability. Key community entrepreneurs and leaders were the main sources of information for this research. The findings of this thesis suggest that it is a combination of factors such as the failure of the community to maintain its stable economic position through unfortunate business practices and choices coupled with external market forces that slowed this community economic development and disabled its continued growth. Title: The Kazaks of Istanbul: A Case of Social Cohesion, Economic Breakdown and the Search for a Moral Economy Author: Auger, Daniel Marc Year: 2016 This research is focused on understanding the ways in which the community orientation of the Kazak ethnic community in Istanbul, Turkey have contributed to their economic success which in turn encourages strong community, and the nature of their community-based support networks for providing material and cultural support. It examines the role of social capital and cohesion in maintaining the community with its positive implications for the continued building of wealth or sourcing of funding on a community level. The theoretical concepts relevant to this project are based on the ideas that the shared values of a community are a positive force that allow communities to achieve common goals and is particularly important in the context of an economy that favors cheap labor and a highly mobile workforce, both factors that negatively affect the asset building and place-based rootedness that communities require for their stability. Key community entrepreneurs and leaders were the main sources of information for this research. The findings of this thesis suggest that it is a combination of factors such as the failure of the community to maintain its stable economic position through unfortunate business practices and choices coupled with external market forces that slowed this community economic development and disabled its continued growth. Close

• 7. [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

• 8. [Article] Sticky Points in Modeling Household Energy Consumption

  A variety of approaches have been proposed to explaining individual household energy consumption, its variation, and its potential reduction. Some focus on technology, some on costs, and some on a combination ...

  Citation × Citation Citation Abstract Copy Title: Sticky Points in Modeling Household Energy Consumption Author: Lutzenhiser, Loren, Moezzi, Mithra, Hungerford, David, Friedmann, Rafael Year: 2010 A variety of approaches have been proposed to explaining individual household energy consumption, its variation, and its potential reduction. Some focus on technology, some on costs, and some on a combination of behaviors, attitudes, intentions, and norms. All try to make sense of a problem that, from a modeling perspective, involves hundreds of potentially important factors, yet is supported by highly inadequate or at best selective data. While there is value in "doing the best one can" with the resources at hand, building a defensible science requires a cold hard look at the quality of theory, research and data. This paper draws upon the authors' assessment of data and critical literature review to examine the implications of common "sticky points" in modeling residential energy consumption. These include: variability in consumption within and across households, data quality issues, conflicts among various modeling approaches and underlying theoretical constructs, and tacit beliefs about causal relationships. The combination of uncertainties in these areas can lead to adoption of cautious (and sometimes misleading) assumptions, and to conservative policy approaches that hedge against behavioral failures in efforts to secure energy savings. Title: Sticky Points in Modeling Household Energy Consumption Author: Lutzenhiser, Loren, Moezzi, Mithra, Hungerford, David, Friedmann, Rafael Year: 2010 A variety of approaches have been proposed to explaining individual household energy consumption, its variation, and its potential reduction. Some focus on technology, some on costs, and some on a combination of behaviors, attitudes, intentions, and norms. All try to make sense of a problem that, from a modeling perspective, involves hundreds of potentially important factors, yet is supported by highly inadequate or at best selective data. While there is value in "doing the best one can" with the resources at hand, building a defensible science requires a cold hard look at the quality of theory, research and data. This paper draws upon the authors' assessment of data and critical literature review to examine the implications of common "sticky points" in modeling residential energy consumption. These include: variability in consumption within and across households, data quality issues, conflicts among various modeling approaches and underlying theoretical constructs, and tacit beliefs about causal relationships. The combination of uncertainties in these areas can lead to adoption of cautious (and sometimes misleading) assumptions, and to conservative policy approaches that hedge against behavioral failures in efforts to secure energy savings. Close

• 9. [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

• 10. [Article] Freight Distribution Problems in Congested Urban Areas: Fast and Effective Solution Procedures to Time-Dependent Vehicle Routing Problems

  Congestion is a common phenomenon in all medium to large cities of the world. Reliability of freight movement in urban areas is an important issue to manufacturing or service companies whose operation ...

  Citation × Citation Citation Abstract Copy Title: Freight Distribution Problems in Congested Urban Areas: Fast and Effective Solution Procedures to Time-Dependent Vehicle Routing Problems Author: Figliozzi, Miguel A. Year: 2011 Congestion is a common phenomenon in all medium to large cities of the world. Reliability of freight movement in urban areas is an important issue to manufacturing or service companies whose operation is based in just-in-time approaches. These companies tend to provide high value or time sensitive products/services. As congestion increases, carriers face increasing challenges to satisfy their time sensitive customers in an economical way. Route designs or schedules which require long computation times or ignore travel time variations will result in inefficient and suboptimal solutions. Poorly designed routes that lead freight vehicles into congested arteries and streets not only increases supply chain and logistics costs but also exacerbate externalities associated with freight traffic in urban areas such as greenhouse gases, air pollution, noise, and accidents. Whilst it is rarely possible to entirely avoid the impacts of congestion, it is feasible to schedule operations so that the effects of congestion are minimized. Better scheduling can be effectively supported by the advent of inexpensive and ubiquitous Information and Communication Technologies (ICT). The use of mobile phone technology and on-board routing devices allows fluid communication between truck drivers and fleet operators in real-time. In such a real time operation it becomes possible to dynamically reassign vehicles, including modifying the order in which customers are served and diverting a vehicle already en-route to service another customer. However, without fast routing methods that can take advantage of real time congestion information carriers cannot reap the benefits of real-time information. From the operational point of view, congestion creates a substantial variation in travel times during peak morning and evening hours. This is problematic for all vehicle routing models which rely on a constant value to represent vehicle speeds. And while the ubiquitous availability of real time traffic information allows drivers to reactively alter routes and customer service sequences to better cope with congestion, static routing models are unable to take advantage of these advances in real-time information provision in order to proactively find adequate routing solutions. In addition, changes in travel time caused by congestion cannot be accurately represented in static models. Research in time-dependent vehicle routing problem is comparatively meager and current solution methods are inadequate for practical carrier operations which need to provide fast solutions for medium to large instances. Even faster solution methods are essential to take advantage of real time information. The major aim of this proposal is to develop and evaluate new methods for vehicle routing in congested urban areas. The emphasis will be placed on improving the running time of the existing methods. Title: Freight Distribution Problems in Congested Urban Areas: Fast and Effective Solution Procedures to Time-Dependent Vehicle Routing Problems Author: Figliozzi, Miguel A. Year: 2011 Congestion is a common phenomenon in all medium to large cities of the world. Reliability of freight movement in urban areas is an important issue to manufacturing or service companies whose operation is based in just-in-time approaches. These companies tend to provide high value or time sensitive products/services. As congestion increases, carriers face increasing challenges to satisfy their time sensitive customers in an economical way. Route designs or schedules which require long computation times or ignore travel time variations will result in inefficient and suboptimal solutions. Poorly designed routes that lead freight vehicles into congested arteries and streets not only increases supply chain and logistics costs but also exacerbate externalities associated with freight traffic in urban areas such as greenhouse gases, air pollution, noise, and accidents. Whilst it is rarely possible to entirely avoid the impacts of congestion, it is feasible to schedule operations so that the effects of congestion are minimized. Better scheduling can be effectively supported by the advent of inexpensive and ubiquitous Information and Communication Technologies (ICT). The use of mobile phone technology and on-board routing devices allows fluid communication between truck drivers and fleet operators in real-time. In such a real time operation it becomes possible to dynamically reassign vehicles, including modifying the order in which customers are served and diverting a vehicle already en-route to service another customer. However, without fast routing methods that can take advantage of real time congestion information carriers cannot reap the benefits of real-time information. From the operational point of view, congestion creates a substantial variation in travel times during peak morning and evening hours. This is problematic for all vehicle routing models which rely on a constant value to represent vehicle speeds. And while the ubiquitous availability of real time traffic information allows drivers to reactively alter routes and customer service sequences to better cope with congestion, static routing models are unable to take advantage of these advances in real-time information provision in order to proactively find adequate routing solutions. In addition, changes in travel time caused by congestion cannot be accurately represented in static models. Research in time-dependent vehicle routing problem is comparatively meager and current solution methods are inadequate for practical carrier operations which need to provide fast solutions for medium to large instances. Even faster solution methods are essential to take advantage of real time information. The major aim of this proposal is to develop and evaluate new methods for vehicle routing in congested urban areas. The emphasis will be placed on improving the running time of the existing methods. Close