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• 1. [Article] An Activity-related Land Use Mix Construct and Its Connection to Pedestrian Travel

  Land use mix is a central smart growth principle connected to active transportation. This presentation describes the indicators of local land use mixing and their association with pedestrian travel in ...

  Citation × Citation Citation Abstract Copy Title: An Activity-related Land Use Mix Construct and Its Connection to Pedestrian Travel Author: Gehrke, Steven R. Year: 2016 Land use mix is a central smart growth principle connected to active transportation. This presentation describes the indicators of local land use mixing and their association with pedestrian travel in Oregon’s Willamette River Valley. It argues that land use mix is a multidimensional construct reflected by the complementarity, composition, and configuration of land use types, which is positively linked to walk mode choice and home-based trip frequency. Findings from this study underline the conceptual and empirical benefit of analyzing this transportation-land use interaction with a landscape pattern measure of activity-related composition and spatial configuration. The presentation for this seminar was done jointly with Kristin Curran. It may be accessed at http://archives.pdx.edu/ds/psu/18237. Title: An Activity-related Land Use Mix Construct and Its Connection to Pedestrian Travel Author: Gehrke, Steven R. Year: 2016 Land use mix is a central smart growth principle connected to active transportation. This presentation describes the indicators of local land use mixing and their association with pedestrian travel in Oregon’s Willamette River Valley. It argues that land use mix is a multidimensional construct reflected by the complementarity, composition, and configuration of land use types, which is positively linked to walk mode choice and home-based trip frequency. Findings from this study underline the conceptual and empirical benefit of analyzing this transportation-land use interaction with a landscape pattern measure of activity-related composition and spatial configuration. The presentation for this seminar was done jointly with Kristin Curran. It may be accessed at http://archives.pdx.edu/ds/psu/18237. Close

• 2. [Article] The Importance of Housing, Accessibility, and Transport Characteristic Ratings on Stated Neighborhood Preference

  Travel demand models commonly lack the ability to understand how changing residential preferences influence future housing, land use, and transportation policies. As communities struggle to address social ...

  Citation × Citation Citation Abstract Copy Title: The Importance of Housing, Accessibility, and Transport Characteristic Ratings on Stated Neighborhood Preference Author: Currans, Kristina Marie Year: 2016 Travel demand models commonly lack the ability to understand how changing residential preferences influence future housing, land use, and transportation policies. As communities struggle to address social challenges related to increased economic uncertainty, transportation and land use planning have become increasingly centered on assumptions concerning the market for residential environments and travel choices. In response, an added importance has been placed on the development of toolkits capable of providing robust and flexible models to aid in understanding how differing assumptions contribute to a set of planning scenarios and how future residential location decisions may be made. In this study, we aim to examine the ability for current land use and transportation models to adequately account for the mechanism that drive households to prefer different neighborhoods based on typical transportation modeling methods. In particular, we conduct an original stated preference survey to identify the characteristics and preferences of individuals and households that influence unconstrained residential neighborhood preferences. Our objectives are to (a) determine the key drivers of residential neighborhood preferences, (b) test the contribution of sociodemographic and economic household characteristics commonly used in regional modeling tools to allocate households regionally across neighborhoods (e.g. household size, income, age, tenure), and (c) identify the preference profiles that can improve the sensitivity of our regional and statewide transportation-land use models to residential neighborhood preferences. The presentation for this seminar was done jointly with Steven Gehrke. It can be accessed at http://archives.pdx.edu/ds/psu/18234. Title: The Importance of Housing, Accessibility, and Transport Characteristic Ratings on Stated Neighborhood Preference Author: Currans, Kristina Marie Year: 2016 Travel demand models commonly lack the ability to understand how changing residential preferences influence future housing, land use, and transportation policies. As communities struggle to address social challenges related to increased economic uncertainty, transportation and land use planning have become increasingly centered on assumptions concerning the market for residential environments and travel choices. In response, an added importance has been placed on the development of toolkits capable of providing robust and flexible models to aid in understanding how differing assumptions contribute to a set of planning scenarios and how future residential location decisions may be made. In this study, we aim to examine the ability for current land use and transportation models to adequately account for the mechanism that drive households to prefer different neighborhoods based on typical transportation modeling methods. In particular, we conduct an original stated preference survey to identify the characteristics and preferences of individuals and households that influence unconstrained residential neighborhood preferences. Our objectives are to (a) determine the key drivers of residential neighborhood preferences, (b) test the contribution of sociodemographic and economic household characteristics commonly used in regional modeling tools to allocate households regionally across neighborhoods (e.g. household size, income, age, tenure), and (c) identify the preference profiles that can improve the sensitivity of our regional and statewide transportation-land use models to residential neighborhood preferences. The presentation for this seminar was done jointly with Steven Gehrke. It can be accessed at http://archives.pdx.edu/ds/psu/18234. Close

• 3. [Article] A Pathway Linking Smart Growth Neighborhoods to Home-Based Pedestrian Travel

  Land development patterns, urban design, and transportation system features are inextricably linked to pedestrian travel. Accordingly, planners and decision-makers have turned to integrated transportation-land ...

  Citation × Citation Citation Abstract Copy Title: A Pathway Linking Smart Growth Neighborhoods to Home-Based Pedestrian Travel Author: Gehrke, Steven R., Clifton, Kelly J. Year: 2017 Land development patterns, urban design, and transportation system features are inextricably linked to pedestrian travel. Accordingly, planners and decision-makers have turned to integrated transportation-land use policies and investments to address the pressing need for improvements in physical activity levels via the creation of walkable communities. However, policy questions regarding the identification of smart growth indicators and their connection to walking remain unanswered, because most studies of the built environment determinants of pedestrian travel: (a) represent the built environment with isolated metrics instead of as a multidimensional construct and (b) model this transportation-land use relationship outside of a multidirectional analytic framework. Using structural equation modeling, this Portland, Oregon study identifies a second-order latent construct of the built environment indicated by land use mix, density, and urban design and transportation system features. Study findings suggest this construct has a strong effect on the household-level decision to walk for transport and discretionary travel. The video of the presentation is located here: https://echo360.pdx.edu/ess/echo/presentation/3b8a6987-6c8e-4407-bace-e4e627520a97 Title: A Pathway Linking Smart Growth Neighborhoods to Home-Based Pedestrian Travel Author: Gehrke, Steven R., Clifton, Kelly J. Year: 2017 Land development patterns, urban design, and transportation system features are inextricably linked to pedestrian travel. Accordingly, planners and decision-makers have turned to integrated transportation-land use policies and investments to address the pressing need for improvements in physical activity levels via the creation of walkable communities. However, policy questions regarding the identification of smart growth indicators and their connection to walking remain unanswered, because most studies of the built environment determinants of pedestrian travel: (a) represent the built environment with isolated metrics instead of as a multidimensional construct and (b) model this transportation-land use relationship outside of a multidirectional analytic framework. Using structural equation modeling, this Portland, Oregon study identifies a second-order latent construct of the built environment indicated by land use mix, density, and urban design and transportation system features. Study findings suggest this construct has a strong effect on the household-level decision to walk for transport and discretionary travel. The video of the presentation is located here: https://echo360.pdx.edu/ess/echo/presentation/3b8a6987-6c8e-4407-bace-e4e627520a97 Close

• 4. [Article] Rerouting Mode Choice Models: ​H​ow Including Realistic Route Options Can Help Us Understand Decisions to Walk or Bike

  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: Rerouting Mode Choice Models: ​H​ow Including Realistic Route Options Can Help Us Understand Decisions to Walk or Bike 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 successfully model bike and walk travel. In the past five years, we have learned a lot about where people prefer to bike and walk, but what can that tell us about whether people will bike or walk in the first place? The research presented here is designed to start bridging the gap between choice of route and choice of travel mode (walk, bike, transit, drive, etc.). A mode choice framework is presented that acknowledges the importance of attributes along specific walk and bike routes that travelers are likely to consider for a given trip. Adding route quality as a factor in mode choice decisions is new, and shows promise for: (1) improving prediction of pedestrian and cycling trips, (2) increasing sensitivity of models to finer-grained policy scenarios--testing the impact of a single proposed facility or design change on bike and walk mode shares, and (3) identifying separately the effects of pedestrian and cycling facilities on decisions to walk or ride from which route to take. The proposed framework is applied to revealed preference, GPS travel data collected from 2010-2013 in Portland, Oregon. Key results include: (1) specific walk and bike facilities are significant factors for mode as well as route choice, (2) lower traffic-stress routes may be more important for women than men when choosing whether to bike, (3) available routes on a specific trip may have independent impacts from more traditional measures of land-use and built environment such as density, and (4) the importance of walking and biking environments appears to remain even when controlling for neighborhood self-selection. Title: Rerouting Mode Choice Models: ​H​ow Including Realistic Route Options Can Help Us Understand Decisions to Walk or Bike 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 successfully model bike and walk travel. In the past five years, we have learned a lot about where people prefer to bike and walk, but what can that tell us about whether people will bike or walk in the first place? The research presented here is designed to start bridging the gap between choice of route and choice of travel mode (walk, bike, transit, drive, etc.). A mode choice framework is presented that acknowledges the importance of attributes along specific walk and bike routes that travelers are likely to consider for a given trip. Adding route quality as a factor in mode choice decisions is new, and shows promise for: (1) improving prediction of pedestrian and cycling trips, (2) increasing sensitivity of models to finer-grained policy scenarios--testing the impact of a single proposed facility or design change on bike and walk mode shares, and (3) identifying separately the effects of pedestrian and cycling facilities on decisions to walk or ride from which route to take. The proposed framework is applied to revealed preference, GPS travel data collected from 2010-2013 in Portland, Oregon. Key results include: (1) specific walk and bike facilities are significant factors for mode as well as route choice, (2) lower traffic-stress routes may be more important for women than men when choosing whether to bike, (3) available routes on a specific trip may have independent impacts from more traditional measures of land-use and built environment such as density, and (4) the importance of walking and biking environments appears to remain even when controlling for neighborhood self-selection. Close