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• 21. [Article] Looking Back at Planning Oregon

  An interview with Henry Richmond is the product of a new project called People and the Land: An Oral History of Oregon's Statewide Land Use Planning Program. Richmond explains the political and economic ...

  Citation × Citation Citation Abstract Copy Title: Looking Back at Planning Oregon Author: Richmond, Henry, Sitzman, James Year: 2016 An interview with Henry Richmond is the product of a new project called People and the Land: An Oral History of Oregon's Statewide Land Use Planning Program. Richmond explains the political and economic conditions in which land use program was forged, and how these have changed over time. The full interview is available here: http://archives.pdx.edu/ds/psu/16296 Title: Looking Back at Planning Oregon Author: Richmond, Henry, Sitzman, James Year: 2016 An interview with Henry Richmond is the product of a new project called People and the Land: An Oral History of Oregon's Statewide Land Use Planning Program. Richmond explains the political and economic conditions in which land use program was forged, and how these have changed over time. The full interview is available here: http://archives.pdx.edu/ds/psu/16296 Close

• 22. [Article] Evaluation of Smart Phone Weight-Mile Tax Truck Data for Supporting Freight Modeling, Performance Measures and Planning

  Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). This research serves to evaluate ancillary applications for a system developed by the Oregon Department of ...

  Citation × Citation Citation Abstract Copy Title: Evaluation of Smart Phone Weight-Mile Tax Truck Data for Supporting Freight Modeling, Performance Measures and Planning Author: Bell, Katherine E., Figliozzi, Miguel Andres Year: 2013 Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). This research serves to evaluate ancillary applications for a system developed by the Oregon Department of Transportation (ODOT) to simplify WMT collection. The data collection system developed by ODOT – Truck Road Use Electronics (TRUE) - includes a smart phone application with a Global Positioning System (GPS) device and microprocessor. The TRUE data has enormous advantages over commercial truck GPS data used in previous research due to its level of disaggregation and its potential to differentiate between vehicle and commodity types. This research evaluates the accuracy of the TRUE data and demonstrates the results of its application to develop trip generation rates for a variety of truck types and land use categories. This research also confirms the value of the TRUE data to enhance existing ODOT transportation planning models and performance measures. Further, the potential use of the data for emission estimates is evaluated. A sensitivity analysis using the U.S. Environmental Protection Agency's (EPA) Motor Vehicle Emission Simulator 2010b (MOVES2010b) is performed in order to the understand the level of error that might be encountered in emission estimates when such detailed data is not available. Title: Evaluation of Smart Phone Weight-Mile Tax Truck Data for Supporting Freight Modeling, Performance Measures and Planning Author: Bell, Katherine E., Figliozzi, Miguel Andres Year: 2013 Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). This research serves to evaluate ancillary applications for a system developed by the Oregon Department of Transportation (ODOT) to simplify WMT collection. The data collection system developed by ODOT – Truck Road Use Electronics (TRUE) - includes a smart phone application with a Global Positioning System (GPS) device and microprocessor. The TRUE data has enormous advantages over commercial truck GPS data used in previous research due to its level of disaggregation and its potential to differentiate between vehicle and commodity types. This research evaluates the accuracy of the TRUE data and demonstrates the results of its application to develop trip generation rates for a variety of truck types and land use categories. This research also confirms the value of the TRUE data to enhance existing ODOT transportation planning models and performance measures. Further, the potential use of the data for emission estimates is evaluated. A sensitivity analysis using the U.S. Environmental Protection Agency's (EPA) Motor Vehicle Emission Simulator 2010b (MOVES2010b) is performed in order to the understand the level of error that might be encountered in emission estimates when such detailed data is not available. Close

• 23. [Article] Development and Sensitivity Testing of Alternative Mobility Metrics

  The Oregon Highway Plan’s (OHP) mobility policies guide various planning and programming activities of the Oregon Department of Transportation (ODOT). Among these activities are ODOT’s land use change ...

  Citation × Citation Citation Abstract Copy Title: Development and Sensitivity Testing of Alternative Mobility Metrics Author: Gliebe, John, Strathman, James G. Year: 2012 The Oregon Highway Plan’s (OHP) mobility policies guide various planning and programming activities of the Oregon Department of Transportation (ODOT). Among these activities are ODOT’s land use change review responsibilities under the Transportation Planning Rule, as adopted by the state’s Land Conservation and Development Commission. This report examines supplemental transportation performance metrics beyond the volume-to-capacity metric that currently supports OHP mobility policies. Selected supplemental metrics are empirically analyzed using a travel demand model calibrated for a Medford, Oregon study area. Title: Development and Sensitivity Testing of Alternative Mobility Metrics Author: Gliebe, John, Strathman, James G. Year: 2012 The Oregon Highway Plan’s (OHP) mobility policies guide various planning and programming activities of the Oregon Department of Transportation (ODOT). Among these activities are ODOT’s land use change review responsibilities under the Transportation Planning Rule, as adopted by the state’s Land Conservation and Development Commission. This report examines supplemental transportation performance metrics beyond the volume-to-capacity metric that currently supports OHP mobility policies. Selected supplemental metrics are empirically analyzed using a travel demand model calibrated for a Medford, Oregon study area. Close

• 24. [Article] Land Use Framework Map

  A depiction of areas designated urban vs. non-urban in the Portland metropolitan region.

  Citation × Citation Citation Abstract Copy Title: Land Use Framework Map Author: Metro (Or.) Year: 1979 A depiction of areas designated urban vs. non-urban in the Portland metropolitan region. Title: Land Use Framework Map Author: Metro (Or.) Year: 1979 A depiction of areas designated urban vs. non-urban in the Portland metropolitan region. Close

• 25. [Article] Evidence Supporting Treatment Practice Based Delineation of Stormwater Runoff Zones

  Particles mobilized by stormwater negatively affect receiving surface waters. Stormwater best management practices (BMPs) can reduce solids along with associated pollutants in runoff but engineers and ...

  Citation × Citation Citation Abstract Copy Title: Evidence Supporting Treatment Practice Based Delineation of Stormwater Runoff Zones Author: Gorski, Jacob J. Year: 2013 Particles mobilized by stormwater negatively affect receiving surface waters. Stormwater best management practices (BMPs) can reduce solids along with associated pollutants in runoff but engineers and environmental managers have been long vexed by the problem of choosing the optimal BMP for a given situation. A common BMP process for solids removal is sedimentation. This thesis addresses the question of whether the effectiveness (and thus choice) of a sedimentation device can be estimated (and thus optimized) from the particle size properties of runoff, which, in turn, could be associated with specific runoff zones or land uses. Presented here is a series of experiments to determine the solids-removal capabilities of a manufactured oil-water separator that also removes solids via sedimentation. A statistical model developed from the experimental data shows that, under normal operating conditions, influent particle size can be used to accurately estimate effluent total suspended solids (TSS) for BMPs of this type. Relationships between particle size and particle-bound metal concentrations for Cu, Zn and Pb were then obtained from the literature and incorporated into the model to allow estimates of metal removal efficiencies based on TSS and PSD. The model can be used with an arbitrary particle size distribution (PSD); this allows effluent quality predictions to be made considering that particle sizes entering stormwater BMPs could vary due to anthropogenic, hydraulic or hydrologic factors. To place these experimental and modeling results in the context of an urban environment, samples of deposited stormwater solids were collected from residential areas, commercial areas and an industrial zone in Portland, Oregon, and the PSD of each sample was determined using light obstruction particle sizing. PSDs ranging over sizes from 3μm to 200μm vary among these locations. Areas with high anthropogenic impact were found to have PSDs skewed toward the smallest particle sizes. The statistical model developed here was then used to show that the effluent quality of the BMP tested would differ depending on the locations where solids were collected. The evidence presented in this thesis thus indicates that device performance will correlate with geographic locations or land use zone and validates further investigation into delineating the City of Portland's characteristic runoff zones and using the runoff characteristics of each zone to map it to the most desirable treatment practices. Title: Evidence Supporting Treatment Practice Based Delineation of Stormwater Runoff Zones Author: Gorski, Jacob J. Year: 2013 Particles mobilized by stormwater negatively affect receiving surface waters. Stormwater best management practices (BMPs) can reduce solids along with associated pollutants in runoff but engineers and environmental managers have been long vexed by the problem of choosing the optimal BMP for a given situation. A common BMP process for solids removal is sedimentation. This thesis addresses the question of whether the effectiveness (and thus choice) of a sedimentation device can be estimated (and thus optimized) from the particle size properties of runoff, which, in turn, could be associated with specific runoff zones or land uses. Presented here is a series of experiments to determine the solids-removal capabilities of a manufactured oil-water separator that also removes solids via sedimentation. A statistical model developed from the experimental data shows that, under normal operating conditions, influent particle size can be used to accurately estimate effluent total suspended solids (TSS) for BMPs of this type. Relationships between particle size and particle-bound metal concentrations for Cu, Zn and Pb were then obtained from the literature and incorporated into the model to allow estimates of metal removal efficiencies based on TSS and PSD. The model can be used with an arbitrary particle size distribution (PSD); this allows effluent quality predictions to be made considering that particle sizes entering stormwater BMPs could vary due to anthropogenic, hydraulic or hydrologic factors. To place these experimental and modeling results in the context of an urban environment, samples of deposited stormwater solids were collected from residential areas, commercial areas and an industrial zone in Portland, Oregon, and the PSD of each sample was determined using light obstruction particle sizing. PSDs ranging over sizes from 3μm to 200μm vary among these locations. Areas with high anthropogenic impact were found to have PSDs skewed toward the smallest particle sizes. The statistical model developed here was then used to show that the effluent quality of the BMP tested would differ depending on the locations where solids were collected. The evidence presented in this thesis thus indicates that device performance will correlate with geographic locations or land use zone and validates further investigation into delineating the City of Portland's characteristic runoff zones and using the runoff characteristics of each zone to map it to the most desirable treatment practices. 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• 26. [Article] Improving Vehicle Trip Generation Estimations for Urban Contexts: A Method Using Household Travel Surveys to Adjust ITE Trip Generation Rates

  The purpose of this research is to develop and test a widely available, ready-to-use method for adjusting the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip generation ...

  Citation × Citation Citation Abstract Copy Title: Improving Vehicle Trip Generation Estimations for Urban Contexts: A Method Using Household Travel Surveys to Adjust ITE Trip Generation Rates Author: Currans, Kristina Marie Year: 2013 The purpose of this research is to develop and test a widely available, ready-to-use method for adjusting the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip generation estimates for urban context using regional household travel survey data. The ITE Handbook has become the predominant method for estimating vehicle trips generated by different land uses or establishment, providing a method for data collection and vehicle trip estimation based on the size of the development (e.g. gross square footage, number of employees, number of dwelling units). These estimates are used in traffic impact analysis to assess the amount of impact the development will have on nearby transportation facilities and, the corresponding charges for mitigating the development's negative impacts, with roadway expansions, added turning bays, additional parking or traffic signalization, for example. The Handbook is often criticized, however, for its inability to account for variations in travel modes across urban contexts. For more than fifty years, ITE has collected suburban, vehicle-oriented data on trip generation for automobiles only. Despite the provision of warnings against application in urban areas, local governments continue to require the use of the ITE Handbook across all area-types. By over predicting vehicle traffic to developments in urban developments, developments may be overcharged to mitigate these developments locating in urban environments despite the lower automobile mode shares, discouraging infill development or densification. When ITE's Trip Generation Handbook overestimates the vehicle impact of a development, facilities are also overbuilt for the automobile traffic and diminishing the use of alternative modes. When ITE's TGH underestimates this impact, adjacent facilities may become oversaturated with traffic, pushing cars onto smaller facilities nearby. Currently, there is momentum amongst practitioners to improve these estimation techniques in urban contexts to help support smart growth and better plan for multiple modes. This research developed and tested a method to adjust ITE's Handbook vehicle trip generation estimates for changes in transportation mode shares in more urban contexts using information from household travel surveys. Mode share adjustments provide direct reductions to ITE's Handbook vehicle trip estimations. Household travel survey (HTS) data from three regions were collected: Portland, Oregon; Seattle, Washington; and Baltimore, Maryland. These data were used to estimate the automobile mode share rates across urban context using three different adjustment methodologies: (A) a descriptive table of mode shares across activity density ranges, (B) a binary logistic regression that includes a built environment description of urban context with the best predictive power, and (C) a binary logistic regression that includes a built environment description of urban context with high predictive power and land use policy-sensitivity. Each of these three methods for estimating the automobile mode share across urban context were estimated for each of nine land use categories, resulting in nine descriptive tables (Adjustment A) and eighteen regressions (Adjustments B and C). Additionally, a linear regression was estimated to predict vehicle occupancy rates across urban contexts for each of nine land use categories. 195 independently collected establishment-level vehicle trip generation data were collected in accordance with the ITE Handbook to validate and compare the performance of the three adjustment methods and estimations from the Handbook. Six land use categories (out of the nine estimated) were able to be tested. Out of all of the land uses tested and verified, ITE's Trip Generation Handbook appeared to have more accurate estimations for land uses that included residential condominiums/townhouses (LUC 230), supermarkets (LUC 850) and quality (sit-down) restaurants (LUC 931). Moderate or small improvements were observed when applying urban context adjustments to mid-rise apartments (LUC 223), high-turnover (sit-down) restaurants (LUC 932). The most substantial improvements occurred at high-rise apartments (LUC 222) and condominiums/townhouses (LUC 232), shopping centers (LUC 820), or coffee/donut (LUC 936) or bread/donut/bagel shops (LUC 939) without drive-through windows. The three methods proposed to estimate automobile mode share provides improvements to the Handbook rates for most infill developments in urban environments. For the land uses analyzed, it appeared a descriptive table of mode shares across activity density provided results with comparable improvements to the results from the more sophisticated binary logistic model estimations. Additional independently collected establishment-level data collections representing more land uses, time periods and time of days are necessary to determine how ITE's Handbook performs in other circumstances, including assessing the transferability of the vehicle trip end rates or mode share reductions across regions. Title: Improving Vehicle Trip Generation Estimations for Urban Contexts: A Method Using Household Travel Surveys to Adjust ITE Trip Generation Rates Author: Currans, Kristina Marie Year: 2013 The purpose of this research is to develop and test a widely available, ready-to-use method for adjusting the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip generation estimates for urban context using regional household travel survey data. The ITE Handbook has become the predominant method for estimating vehicle trips generated by different land uses or establishment, providing a method for data collection and vehicle trip estimation based on the size of the development (e.g. gross square footage, number of employees, number of dwelling units). These estimates are used in traffic impact analysis to assess the amount of impact the development will have on nearby transportation facilities and, the corresponding charges for mitigating the development's negative impacts, with roadway expansions, added turning bays, additional parking or traffic signalization, for example. The Handbook is often criticized, however, for its inability to account for variations in travel modes across urban contexts. For more than fifty years, ITE has collected suburban, vehicle-oriented data on trip generation for automobiles only. Despite the provision of warnings against application in urban areas, local governments continue to require the use of the ITE Handbook across all area-types. By over predicting vehicle traffic to developments in urban developments, developments may be overcharged to mitigate these developments locating in urban environments despite the lower automobile mode shares, discouraging infill development or densification. When ITE's Trip Generation Handbook overestimates the vehicle impact of a development, facilities are also overbuilt for the automobile traffic and diminishing the use of alternative modes. When ITE's TGH underestimates this impact, adjacent facilities may become oversaturated with traffic, pushing cars onto smaller facilities nearby. Currently, there is momentum amongst practitioners to improve these estimation techniques in urban contexts to help support smart growth and better plan for multiple modes. This research developed and tested a method to adjust ITE's Handbook vehicle trip generation estimates for changes in transportation mode shares in more urban contexts using information from household travel surveys. Mode share adjustments provide direct reductions to ITE's Handbook vehicle trip estimations. Household travel survey (HTS) data from three regions were collected: Portland, Oregon; Seattle, Washington; and Baltimore, Maryland. These data were used to estimate the automobile mode share rates across urban context using three different adjustment methodologies: (A) a descriptive table of mode shares across activity density ranges, (B) a binary logistic regression that includes a built environment description of urban context with the best predictive power, and (C) a binary logistic regression that includes a built environment description of urban context with high predictive power and land use policy-sensitivity. Each of these three methods for estimating the automobile mode share across urban context were estimated for each of nine land use categories, resulting in nine descriptive tables (Adjustment A) and eighteen regressions (Adjustments B and C). Additionally, a linear regression was estimated to predict vehicle occupancy rates across urban contexts for each of nine land use categories. 195 independently collected establishment-level vehicle trip generation data were collected in accordance with the ITE Handbook to validate and compare the performance of the three adjustment methods and estimations from the Handbook. Six land use categories (out of the nine estimated) were able to be tested. Out of all of the land uses tested and verified, ITE's Trip Generation Handbook appeared to have more accurate estimations for land uses that included residential condominiums/townhouses (LUC 230), supermarkets (LUC 850) and quality (sit-down) restaurants (LUC 931). Moderate or small improvements were observed when applying urban context adjustments to mid-rise apartments (LUC 223), high-turnover (sit-down) restaurants (LUC 932). The most substantial improvements occurred at high-rise apartments (LUC 222) and condominiums/townhouses (LUC 232), shopping centers (LUC 820), or coffee/donut (LUC 936) or bread/donut/bagel shops (LUC 939) without drive-through windows. The three methods proposed to estimate automobile mode share provides improvements to the Handbook rates for most infill developments in urban environments. For the land uses analyzed, it appeared a descriptive table of mode shares across activity density provided results with comparable improvements to the results from the more sophisticated binary logistic model estimations. Additional independently collected establishment-level data collections representing more land uses, time periods and time of days are necessary to determine how ITE's Handbook performs in other circumstances, including assessing the transferability of the vehicle trip end rates or mode share reductions across regions. Close

• 27. [Article] Patterns of Time, Place, and Culture: Land Use Zoning in Portland, Oregon, 1918-1924

  Until recently, few have questioned the notion that the separation of uses in land use zoning is inherently correct. Many observers of the city are now suggesting that zoning, as it has been practiced ...

  Citation × Citation Citation Abstract Copy Title: Patterns of Time, Place, and Culture: Land Use Zoning in Portland, Oregon, 1918-1924 Author: Merrick, Meg Year: 1998 Until recently, few have questioned the notion that the separation of uses in land use zoning is inherently correct. Many observers of the city are now suggesting that zoning, as it has been practiced in this country over the last 80 years, has created cities that are fractured and function poorly. Others propose that zoning should be reconsidered as a remedy for urban dysfunction. They suggest that the whole notion of zoning be rethought. The purpose of this study is to uncover some of the underlying rationales and methodologies that set the model for zoning. This study examines the rationales behind the classification and location of land use zones in a fast-growing area of Portland, Oregon, for its first zoning ordinance through history, culture, and geography. Between 1919 and 1924, two ordinances were prepared using two very different methodologies. The first of these was designed by nationally known consultant, Charles H. Cheney, using the latest scientific methods. After its rejection in the polls, a second ordinance was developed by a prominent group of realtors in conjunction with the city planning commission using more intuitive methods. This “realtors’ code” (MacColl 1979) was approved by the Portland electorate in 1924. Some fifty years later, the Portland planning commission would identify zoning as having played a significant role in the deterioration of the Buckman neighborhood in the study area. The comparison of the rationales and methods behind the locations of zone boundaries in both ordinances against the locations of actual uses in the study area, reveals the powerful influences of social Darwinism, laissez-faire attitudes, and newly developing social science methods on the association of zoning with the separation of uses and the land use patterns that were created. Title: Patterns of Time, Place, and Culture: Land Use Zoning in Portland, Oregon, 1918-1924 Author: Merrick, Meg Year: 1998 Until recently, few have questioned the notion that the separation of uses in land use zoning is inherently correct. Many observers of the city are now suggesting that zoning, as it has been practiced in this country over the last 80 years, has created cities that are fractured and function poorly. Others propose that zoning should be reconsidered as a remedy for urban dysfunction. They suggest that the whole notion of zoning be rethought. The purpose of this study is to uncover some of the underlying rationales and methodologies that set the model for zoning. This study examines the rationales behind the classification and location of land use zones in a fast-growing area of Portland, Oregon, for its first zoning ordinance through history, culture, and geography. Between 1919 and 1924, two ordinances were prepared using two very different methodologies. The first of these was designed by nationally known consultant, Charles H. Cheney, using the latest scientific methods. After its rejection in the polls, a second ordinance was developed by a prominent group of realtors in conjunction with the city planning commission using more intuitive methods. This “realtors’ code” (MacColl 1979) was approved by the Portland electorate in 1924. Some fifty years later, the Portland planning commission would identify zoning as having played a significant role in the deterioration of the Buckman neighborhood in the study area. The comparison of the rationales and methods behind the locations of zone boundaries in both ordinances against the locations of actual uses in the study area, reveals the powerful influences of social Darwinism, laissez-faire attitudes, and newly developing social science methods on the association of zoning with the separation of uses and the land use patterns that were created. Close

• 28. [Article] Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes

  For a number of reasons--congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few--the importance of walking and bicycling as transportation ...

  Citation × Citation Citation Abstract Copy Title: Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes Author: Broach, Joseph Paul Year: 2016 For a number of reasons--congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few--the importance of walking and bicycling as transportation options will only continue to increase. Currently, policy interest and infrastructure funding for nonmotorized modes far outstrip our ability to model bike and walk travel. To ensure scarce resources are used most effectively, accurate models sensitive to key policy variables are needed to support long-range planning and project evaluation, and to continue adding to our growing understanding of key factors driving walk and bike behavior. This research attempts to synthesize and advance the state of the art in trip-based, nonmotorized mode choice modeling. Over the past fifteen years, efforts to model the decision to walk or bike on a given trip have been hampered by the lack of a comprehensive behavioral framework and inconsistency in measurement scales and model specification. This project develops a mode choice behavioral framework that acknowledges the importance of attributes along the specific walk and bike routes that travelers are likely to consider, in addition to more traditional area-based measures of travel environments. The proposed framework is applied to a revealed preference, GPS-based travel dataset collected from 2010-2013 in Portland, Oregon. Measurement of nonmotorized trip distance, built environment, tour-level variables, and attitudinal attributes as well as mode availability are explicitly addressed. Route and mode choice models are specified using discrete choice techniques, and predicted walking and bicycling routes are tested as inputs to various mode choice models. Results suggest strong potential for predicted route measures to enhance walk and bicycle mode choice modeling. Findings also support the specific notion that bicycle and pedestrian infrastructure contribute not only to route choice but also to the choice of whether to bike or walk. For decisions to bicycle, availability of low-traffic routes may be particularly important to women. Model results further indicate that land use and built environments around trip ends and a person’s home still have important effects on nonmotorized travel when controlling for route quality. Both route and area travel environment impacts are mostly robust to the inclusion of residential self-selection variables, consistent with the idea that built environment differences matter even for households that choose to live in a walkable or bikeable neighborhood. The combination of area and route-based built environment measures alongside trip context, sociodemographic, and attitudinal attributes provides a new perspective on nonmotorized travel behavior relevant to both policy and practice. Title: Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes Author: Broach, Joseph Paul Year: 2016 For a number of reasons--congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few--the importance of walking and bicycling as transportation options will only continue to increase. Currently, policy interest and infrastructure funding for nonmotorized modes far outstrip our ability to model bike and walk travel. To ensure scarce resources are used most effectively, accurate models sensitive to key policy variables are needed to support long-range planning and project evaluation, and to continue adding to our growing understanding of key factors driving walk and bike behavior. This research attempts to synthesize and advance the state of the art in trip-based, nonmotorized mode choice modeling. Over the past fifteen years, efforts to model the decision to walk or bike on a given trip have been hampered by the lack of a comprehensive behavioral framework and inconsistency in measurement scales and model specification. This project develops a mode choice behavioral framework that acknowledges the importance of attributes along the specific walk and bike routes that travelers are likely to consider, in addition to more traditional area-based measures of travel environments. The proposed framework is applied to a revealed preference, GPS-based travel dataset collected from 2010-2013 in Portland, Oregon. Measurement of nonmotorized trip distance, built environment, tour-level variables, and attitudinal attributes as well as mode availability are explicitly addressed. Route and mode choice models are specified using discrete choice techniques, and predicted walking and bicycling routes are tested as inputs to various mode choice models. Results suggest strong potential for predicted route measures to enhance walk and bicycle mode choice modeling. Findings also support the specific notion that bicycle and pedestrian infrastructure contribute not only to route choice but also to the choice of whether to bike or walk. For decisions to bicycle, availability of low-traffic routes may be particularly important to women. Model results further indicate that land use and built environments around trip ends and a person’s home still have important effects on nonmotorized travel when controlling for route quality. Both route and area travel environment impacts are mostly robust to the inclusion of residential self-selection variables, consistent with the idea that built environment differences matter even for households that choose to live in a walkable or bikeable neighborhood. The combination of area and route-based built environment measures alongside trip context, sociodemographic, and attitudinal attributes provides a new perspective on nonmotorized travel behavior relevant to both policy and practice. Close

• 29. [Article] The Role of Health and Physical Activity in the Adoption of Innovative Land Use Policy: Findings from Surveys of Local Planners

  Background: Research has established that built environments, including street networks, bicycle and pedestrian infrastructure, and land uses, can positively affect the frequency and duration of daily ...

  Citation × Citation Citation Abstract Copy Title: The Role of Health and Physical Activity in the Adoption of Innovative Land Use Policy: Findings from Surveys of Local Planners Author: Dill, Jennifer, Howe, Deborah A. Year: 2011 Background: Research has established that built environments, including street networks, bicycle and pedestrian infrastructure, and land uses, can positively affect the frequency and duration of daily physical activity. Attention is now being given to policy frameworks such as zoning codes that set the standards and expectations for this built environment. Methods: We examined the adoption and implementation of mixed-use and related zoning provisions with specific attention to the role that physical activity serves as a motivation for such policies and to what extent public health agencies influence the adoption process. A sample of planning directors from 53 communities with outstanding examples of mixed-use developments and 145 randomly selected midsized communities were surveyed. Results: Physical activity is not a dominant motivator in master plans and/or zoning codes and public health agencies played minor roles in policy adoption. However, physical activity as a motivation appears to be increasing in recent years and is associated with higher levels of policy innovation. Conclusions: Recommendations include framing the importance of physical activity in terms of other dominant concerns such as livability, dynamic centers, and economic development. Health agencies are encouraged to work in coalitions to focus arguments on behalf of physical activity. Title: The Role of Health and Physical Activity in the Adoption of Innovative Land Use Policy: Findings from Surveys of Local Planners Author: Dill, Jennifer, Howe, Deborah A. Year: 2011 Background: Research has established that built environments, including street networks, bicycle and pedestrian infrastructure, and land uses, can positively affect the frequency and duration of daily physical activity. Attention is now being given to policy frameworks such as zoning codes that set the standards and expectations for this built environment. Methods: We examined the adoption and implementation of mixed-use and related zoning provisions with specific attention to the role that physical activity serves as a motivation for such policies and to what extent public health agencies influence the adoption process. A sample of planning directors from 53 communities with outstanding examples of mixed-use developments and 145 randomly selected midsized communities were surveyed. Results: Physical activity is not a dominant motivator in master plans and/or zoning codes and public health agencies played minor roles in policy adoption. However, physical activity as a motivation appears to be increasing in recent years and is associated with higher levels of policy innovation. Conclusions: Recommendations include framing the importance of physical activity in terms of other dominant concerns such as livability, dynamic centers, and economic development. Health agencies are encouraged to work in coalitions to focus arguments on behalf of physical activity. Close

• 30. [Article] Evaluating a New Urbanist Neighborhood

  New Urbanist neighborhoods aim to improve sustainability by reducing automobile use, increasing walking and cycling, increasing the diversity of land uses and people, and increasing social capital, through ...

  Citation × Citation Citation Abstract Copy Title: Evaluating a New Urbanist Neighborhood Author: Dill, Jennifer Year: 2006 New Urbanist neighborhoods aim to improve sustainability by reducing automobile use, increasing walking and cycling, increasing the diversity of land uses and people, and increasing social capital, through strengthened personal and civic bonds. With more New Urbanist communities being constructed, it is now more feasible and necessary to evaluate their success. Much of the existing research uses older, traditional neighborhoods as a proxy for New Urbanism. This research compares a New Urbanist development with two conventional subdivisions and finds that some of the objectives are being fulfi lled, in both direct and indirect ways. While New Urbanist residents are walking more, they may not be driving less as a direct result of the New Urbanist design features. Demographic factors appear to explain much of the differences in overall driving. Title: Evaluating a New Urbanist Neighborhood Author: Dill, Jennifer Year: 2006 New Urbanist neighborhoods aim to improve sustainability by reducing automobile use, increasing walking and cycling, increasing the diversity of land uses and people, and increasing social capital, through strengthened personal and civic bonds. With more New Urbanist communities being constructed, it is now more feasible and necessary to evaluate their success. Much of the existing research uses older, traditional neighborhoods as a proxy for New Urbanism. This research compares a New Urbanist development with two conventional subdivisions and finds that some of the objectives are being fulfi lled, in both direct and indirect ways. While New Urbanist residents are walking more, they may not be driving less as a direct result of the New Urbanist design features. Demographic factors appear to explain much of the differences in overall driving. Close