Search

Search Results

• 1. [Article] Toward a Spatial-Temporal Measure of Land-Use Mix

  Urban planning and public-health research has long been interested in the connection between land-use mix and travel. Interest from urban planners stems from the potential of transportation efficiency ...

  Citation × Citation Citation Abstract Copy Title: Toward a Spatial-Temporal Measure of Land-Use Mix Author: Gehrke, Steven R., Clifton, Kelly Year: 2015 Urban planning and public-health research has long been interested in the connection between land-use mix and travel. Interest from urban planners stems from the potential of transportation efficiency gains achieved by an increased land-use mix and subsequent shortening of trip lengths; whereas, public-health research advocates an increased land-use mix as an effective policy for facilitating greater physical activity. Yet, despite the transportation, land-use, and health benefits related to improving land-use mix and the extent of topical attention given by researchers, no consensus has been reached regarding the magnitude of its effect on travel. This absence of agreement may largely be attributed to the theoretical and methodological failings persistent in present attempts to accurately reflect land-use interaction and operationalize its quantification within a defined spatial extent. To better evaluate the impact of land-use mix on travel behavior and assess more temporal policies, a robust mix measure accounting for these two elements of land-use interaction and geographic scale as well as a temporal element of land-use mixing—missing from present specifications—must be introduced. This paper establishes the research agenda for a spatial-temporal land-use mix measure by (1) identifying the conceptual and methodological faults inherent to current land-use interaction and geographic-scale representations and (2) describing strategies and practical benefits of representing the temporal availability of land-use mixing in guiding innovative transportation/land-use policies. Title: Toward a Spatial-Temporal Measure of Land-Use Mix Author: Gehrke, Steven R., Clifton, Kelly Year: 2015 Urban planning and public-health research has long been interested in the connection between land-use mix and travel. Interest from urban planners stems from the potential of transportation efficiency gains achieved by an increased land-use mix and subsequent shortening of trip lengths; whereas, public-health research advocates an increased land-use mix as an effective policy for facilitating greater physical activity. Yet, despite the transportation, land-use, and health benefits related to improving land-use mix and the extent of topical attention given by researchers, no consensus has been reached regarding the magnitude of its effect on travel. This absence of agreement may largely be attributed to the theoretical and methodological failings persistent in present attempts to accurately reflect land-use interaction and operationalize its quantification within a defined spatial extent. To better evaluate the impact of land-use mix on travel behavior and assess more temporal policies, a robust mix measure accounting for these two elements of land-use interaction and geographic scale as well as a temporal element of land-use mixing—missing from present specifications—must be introduced. This paper establishes the research agenda for a spatial-temporal land-use mix measure by (1) identifying the conceptual and methodological faults inherent to current land-use interaction and geographic-scale representations and (2) describing strategies and practical benefits of representing the temporal availability of land-use mixing in guiding innovative transportation/land-use policies. Close

• 2. [Article] Continuous Data Integration for Land Use and Transportation Planning and Modeling

  There is an urgent need for improved models that address the interdependencies between land use and transportation, and considerable new work is underway to develop such models in Oregon and elsewhere. ...

  Citation × Citation Citation Abstract Copy Title: Continuous Data Integration for Land Use and Transportation Planning and Modeling Author: Wang, Liming, Kim, Kihong Year: 2014 There is an urgent need for improved models that address the interdependencies between land use and transportation, and considerable new work is underway to develop such models in Oregon and elsewhere. These models and planning practices to integrate land use into the process, however, require the integration of massive amounts of land use data that is messy and incomplete. There have been considerable advances in the treatment of such data problems in other domains, drawing on data mining and machine-learning techniques to address issues in various domains. To date, however, little systematic effort has applied these technological advances to the problem domain of land use and transportation data. Experience suggests that as much as 70% of the total effort in developing integrated land use and transportation models is directly or indirectly associated with data development, integration and cleaning, yet there is remarkably little systematic research focused on the development of reusable methods and tools to support this problem domain. In coordination with an ongoing project of similar theme funded by University of California Transportation Center (UCTC), this project will focus on bringing interdisciplinary methods to develop land use datasets for integrated land use and transportation planning and modeling, with special attention on preserving temporal dimension of the data and monitoring data quality through indicators. Utilizing statistics and machine-learning techniques, we will develop reusable tools that will create a harmonized and coherent land use database from various public and private sources. These tools will be made available to the public and can be used by cities, counties, metropolitan planning agencies, state agencies, universities or anyone else needing to develop a usable database for use in integrated planning and modeling. All of the resulting data, with the exception of proprietary or confidential input data where there is no viable alternative, would be public and reusable for planning and research. Title: Continuous Data Integration for Land Use and Transportation Planning and Modeling Author: Wang, Liming, Kim, Kihong Year: 2014 There is an urgent need for improved models that address the interdependencies between land use and transportation, and considerable new work is underway to develop such models in Oregon and elsewhere. These models and planning practices to integrate land use into the process, however, require the integration of massive amounts of land use data that is messy and incomplete. There have been considerable advances in the treatment of such data problems in other domains, drawing on data mining and machine-learning techniques to address issues in various domains. To date, however, little systematic effort has applied these technological advances to the problem domain of land use and transportation data. Experience suggests that as much as 70% of the total effort in developing integrated land use and transportation models is directly or indirectly associated with data development, integration and cleaning, yet there is remarkably little systematic research focused on the development of reusable methods and tools to support this problem domain. In coordination with an ongoing project of similar theme funded by University of California Transportation Center (UCTC), this project will focus on bringing interdisciplinary methods to develop land use datasets for integrated land use and transportation planning and modeling, with special attention on preserving temporal dimension of the data and monitoring data quality through indicators. Utilizing statistics and machine-learning techniques, we will develop reusable tools that will create a harmonized and coherent land use database from various public and private sources. These tools will be made available to the public and can be used by cities, counties, metropolitan planning agencies, state agencies, universities or anyone else needing to develop a usable database for use in integrated planning and modeling. All of the resulting data, with the exception of proprietary or confidential input data where there is no viable alternative, would be public and reusable for planning and research. Close

• 3. [Article] Webinar: Land Use Mix and Pedestrian Travel Behavior: Advancements in Conceptualization and Measurement

  Smart growth policies have often emphasized the importance of land use mix as an intervention beholding of lasting urban planning and public health benefits. Past transportation-land use research has identified ...

  Citation × Citation Citation Abstract Copy Title: Webinar: Land Use Mix and Pedestrian Travel Behavior: Advancements in Conceptualization and Measurement Author: Gehrke, Steven R. Year: 2017 Smart growth policies have often emphasized the importance of land use mix as an intervention beholding of lasting urban planning and public health benefits. Past transportation-land use research has identified potential efficiency gains achieved by mixed-use neighborhoods and the subsequent shortening of trip lengths; whereas, public health research has accredited increased land use mixing as an effective policy for facilitating greater physical activity. However, despite the celebrated transportation, land use, and health benefits of improved land use mixing and the extent of topical attention, no consensus has been reached regarding the conceptualization and measurement of this key smart growth principle or the magnitude of its link to walking. This research, comprising three empirical studies, explores this topic in detail. This webinar will provide attendees with greater specificity in the measurement of land use mix and its connection to pedestrian travel behavior. Title: Webinar: Land Use Mix and Pedestrian Travel Behavior: Advancements in Conceptualization and Measurement Author: Gehrke, Steven R. Year: 2017 Smart growth policies have often emphasized the importance of land use mix as an intervention beholding of lasting urban planning and public health benefits. Past transportation-land use research has identified potential efficiency gains achieved by mixed-use neighborhoods and the subsequent shortening of trip lengths; whereas, public health research has accredited increased land use mixing as an effective policy for facilitating greater physical activity. However, despite the celebrated transportation, land use, and health benefits of improved land use mixing and the extent of topical attention, no consensus has been reached regarding the conceptualization and measurement of this key smart growth principle or the magnitude of its link to walking. This research, comprising three empirical studies, explores this topic in detail. This webinar will provide attendees with greater specificity in the measurement of land use mix and its connection to pedestrian travel behavior. Close

• 4. [Article] Following the Money from Investments to Outcomes

  While it’s accepted that mixed-use development promotes active travel, researchers don’t have a consensus on exactly how land use determines people’s travel patterns. The research examined: The relationship ...

  Citation × Citation Citation Abstract Copy Title: Following the Money from Investments to Outcomes Author: Zako, Robert, Lewis, Rebecca Year: 2017 While it’s accepted that mixed-use development promotes active travel, researchers don’t have a consensus on exactly how land use determines people’s travel patterns. The research examined: The relationship between pedestrian travel and land use mix; The impact of land use mix on pedestrian travel; How operationalizing land use mix influences individual travel behavior This work contributes theoretical and empirical tools for research and practice in transportation and land use planning. Title: Following the Money from Investments to Outcomes Author: Zako, Robert, Lewis, Rebecca Year: 2017 While it’s accepted that mixed-use development promotes active travel, researchers don’t have a consensus on exactly how land use determines people’s travel patterns. The research examined: The relationship between pedestrian travel and land use mix; The impact of land use mix on pedestrian travel; How operationalizing land use mix influences individual travel behavior This work contributes theoretical and empirical tools for research and practice in transportation and land use planning. Close

• 5. [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

• 6. [Article] The "ADaM Cube" : Categorizing Portland, Oregon's Urbanization Using GIS and Spatial Statistics

  Transportation availability and land use intensity demonstrate a strong relationship, with intense development concentrated near significant transportation investment. Transportation networks evolved in ...

  Citation × Citation Citation Abstract Copy Title: The "ADaM Cube" : Categorizing Portland, Oregon's Urbanization Using GIS and Spatial Statistics Author: Grotbo, Jeremy Year: 2016 Transportation availability and land use intensity demonstrate a strong relationship, with intense development concentrated near significant transportation investment. Transportation networks evolved in response to emergent transportation technologies and changing urban land uses. The irregular distribution of transportation systems reinforced patterns of land use development, shaping urban form. Understanding the relationships between transportation and the intensity of land uses allows urban geographers and city planners to explain the urbanization processes, as well as to identify areas historically susceptible to future development. The goal of this research is to develop a quantitative framework for the analysis of the development of urban form and its relationship to urban transportation systems. This research focuses on transportation accessibility, building density, and the structural massing as the basic metrics in the categorization of urban form. Portland, Oregon serves as the case study environment, while the research methodology examines the spatial and statistical relationship between these metrics for much of the city's urban area. Applying geographic information systems (GIS) and k-means cluster analysis, urban form metrics are compared within the ADaM (Accessibility, Density, and Massing) cube, a model demonstrating comparative relationships, as well as the geographic distribution and patterns of urban form in Portland, Oregon's neighborhoods. A finalized urban form catalog describes existing urban environments, but also indicates areas of impending transition, places having the strong potential for reorganization with respect to higher levels of transportation accessibility. The ADaM Cube is a tool for characterizing Portland's existing urban form, and describing the vulnerabilities of urban neighborhoods to the pressure of redevelopment. Title: The "ADaM Cube" : Categorizing Portland, Oregon's Urbanization Using GIS and Spatial Statistics Author: Grotbo, Jeremy Year: 2016 Transportation availability and land use intensity demonstrate a strong relationship, with intense development concentrated near significant transportation investment. Transportation networks evolved in response to emergent transportation technologies and changing urban land uses. The irregular distribution of transportation systems reinforced patterns of land use development, shaping urban form. Understanding the relationships between transportation and the intensity of land uses allows urban geographers and city planners to explain the urbanization processes, as well as to identify areas historically susceptible to future development. The goal of this research is to develop a quantitative framework for the analysis of the development of urban form and its relationship to urban transportation systems. This research focuses on transportation accessibility, building density, and the structural massing as the basic metrics in the categorization of urban form. Portland, Oregon serves as the case study environment, while the research methodology examines the spatial and statistical relationship between these metrics for much of the city's urban area. Applying geographic information systems (GIS) and k-means cluster analysis, urban form metrics are compared within the ADaM (Accessibility, Density, and Massing) cube, a model demonstrating comparative relationships, as well as the geographic distribution and patterns of urban form in Portland, Oregon's neighborhoods. A finalized urban form catalog describes existing urban environments, but also indicates areas of impending transition, places having the strong potential for reorganization with respect to higher levels of transportation accessibility. The ADaM Cube is a tool for characterizing Portland's existing urban form, and describing the vulnerabilities of urban neighborhoods to the pressure of redevelopment. Close

• 7. [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

• 8. [Article] The Effects of Commuter Rail on Population Deconcentration and Commuting: A Salt Lake City Case Study

  All transportation systems have the ability to transform human settlement patterns, which can affect a range of social, economic and environmental issues. Considering investments in rail infrastructure ...

  Citation × Citation Citation Abstract Copy Title: The Effects of Commuter Rail on Population Deconcentration and Commuting: A Salt Lake City Case Study Author: Ganning, Joanna, Beaudoin, Mercedes, Brewer, Simon, Kim, Keuntae, Park, Keunhyun Year: 2016 All transportation systems have the ability to transform human settlement patterns, which can affect a range of social, economic and environmental issues. Considering investments in rail infrastructure have increased in recent decades (Bureau of Transportation Statistics, 2007; Israel & Cohen-Blankshtain, 2010), it is important for planners and researchers to understand how these rail systems influence land use, metropolitan development patterns, and population migration. The following paragraphs summarize the studies and their findings. The Effects of Commuter Rail Establishment on the Relationships between the Built Environment, Travel Behavior, and Residential Self- Selection (RSS): To help regional and transportation planners better understand the role that commuter rail plays in directing intra-regional development, this chapter provides a longitudinal investigation of the influence of commuter rail on surrounding neighborhoods’ RSS, travel behavior and the built environment. We first analyze the role of commuter rail establishment in influencing change in neighborhood-level demographics, housing and economics (signs of RSS), and travel behavior. Second, we compare surveyed commuter rail riders to residents of the commuter rail stations’ host and neighboring areas. The results indicate that the development of commuter rail does not alter the host tracts in any of the characteristics observed, but rather suppresses population growth in neighboring tracts. Paired with direct evidence from a commuter rail user survey, we conclude that the use of commuter rail is more likely influenced by the built environment than by RSS. The Effects of Commuter Rail Establishment on Population Deconcentration: Research to date has not established the efficacy of commuter rail systems in attracting migrants most likely to use such an amenity. Through the application of a modified population deconcentration model, this chapter finds that the provision of a commuter rail station significantly increases neighborhood-level out-commuting and gross migration, which signals success in attracting migrants requiring commuting infrastructure. These findings also signal that commuter rail encourages regional population deconcentration, but the evidence is insufficient to form a conclusion and the evidence from Chapters 2 and 4 signal otherwise. Developing an Agent-Based Model (ABM) For Estimation of Land Use Changes around Commuter Rail Stations over Time: This chapter improves the understanding of commuter rails’ effect on future land use changes through spatial interaction modeling. In particular, we develop an innovative agent-based model (ABM) that allows us to estimate and visualize the probability of land use changes per parcel based on proximity to commuter rail stations, freeway exits, and the region’s central business district. Briefly, this chapter concludes that the development of a commuter rail station is statistically significantly associated with decreases in single-family residential land use near the station, which is met by increases in multifamily and mixed-use development. The spatial effects of stations on individual land uses vary by land use type, and no generalizable area of influence could be established. This report points to potential future research, as well as implications for planning practitioners. Title: The Effects of Commuter Rail on Population Deconcentration and Commuting: A Salt Lake City Case Study Author: Ganning, Joanna, Beaudoin, Mercedes, Brewer, Simon, Kim, Keuntae, Park, Keunhyun Year: 2016 All transportation systems have the ability to transform human settlement patterns, which can affect a range of social, economic and environmental issues. Considering investments in rail infrastructure have increased in recent decades (Bureau of Transportation Statistics, 2007; Israel & Cohen-Blankshtain, 2010), it is important for planners and researchers to understand how these rail systems influence land use, metropolitan development patterns, and population migration. The following paragraphs summarize the studies and their findings. The Effects of Commuter Rail Establishment on the Relationships between the Built Environment, Travel Behavior, and Residential Self- Selection (RSS): To help regional and transportation planners better understand the role that commuter rail plays in directing intra-regional development, this chapter provides a longitudinal investigation of the influence of commuter rail on surrounding neighborhoods’ RSS, travel behavior and the built environment. We first analyze the role of commuter rail establishment in influencing change in neighborhood-level demographics, housing and economics (signs of RSS), and travel behavior. Second, we compare surveyed commuter rail riders to residents of the commuter rail stations’ host and neighboring areas. The results indicate that the development of commuter rail does not alter the host tracts in any of the characteristics observed, but rather suppresses population growth in neighboring tracts. Paired with direct evidence from a commuter rail user survey, we conclude that the use of commuter rail is more likely influenced by the built environment than by RSS. The Effects of Commuter Rail Establishment on Population Deconcentration: Research to date has not established the efficacy of commuter rail systems in attracting migrants most likely to use such an amenity. Through the application of a modified population deconcentration model, this chapter finds that the provision of a commuter rail station significantly increases neighborhood-level out-commuting and gross migration, which signals success in attracting migrants requiring commuting infrastructure. These findings also signal that commuter rail encourages regional population deconcentration, but the evidence is insufficient to form a conclusion and the evidence from Chapters 2 and 4 signal otherwise. Developing an Agent-Based Model (ABM) For Estimation of Land Use Changes around Commuter Rail Stations over Time: This chapter improves the understanding of commuter rails’ effect on future land use changes through spatial interaction modeling. In particular, we develop an innovative agent-based model (ABM) that allows us to estimate and visualize the probability of land use changes per parcel based on proximity to commuter rail stations, freeway exits, and the region’s central business district. Briefly, this chapter concludes that the development of a commuter rail station is statistically significantly associated with decreases in single-family residential land use near the station, which is met by increases in multifamily and mixed-use development. The spatial effects of stations on individual land uses vary by land use type, and no generalizable area of influence could be established. This report points to potential future research, as well as implications for planning practitioners. Close

• 9. [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

• 10. [Article] Transportation Cost Index as a Performance Measure for Transportation and Land Use Systems: New Approaches and Applications

  This research aims to fill gaps in existing multi-modal performance measures for transportation and land use systems: As a supplement/replacement of traffic-centric measures such as LOS, travel delay; ...

  Citation × Citation Citation Abstract Copy Title: Transportation Cost Index as a Performance Measure for Transportation and Land Use Systems: New Approaches and Applications Author: Wang, Liming, Yang, Huajie, Liu, Jenny H. Year: 2016 This research aims to fill gaps in existing multi-modal performance measures for transportation and land use systems: As a supplement/replacement of traffic-centric measures such as LOS, travel delay; Recent federal and state legislations put more emphases on using of performance measures in transportation planning & operation: MAP-21, Oregon Job and Transportation Act (OJTA); Existing performance measures for transportation and land use systems, although now numerous, have their own limitation (Table 1), and leave important aspects and policy areas uncovered, for example, the balance of transportation investment between different modes and across geographical areas as mandated by OJTA Title: Transportation Cost Index as a Performance Measure for Transportation and Land Use Systems: New Approaches and Applications Author: Wang, Liming, Yang, Huajie, Liu, Jenny H. Year: 2016 This research aims to fill gaps in existing multi-modal performance measures for transportation and land use systems: As a supplement/replacement of traffic-centric measures such as LOS, travel delay; Recent federal and state legislations put more emphases on using of performance measures in transportation planning & operation: MAP-21, Oregon Job and Transportation Act (OJTA); Existing performance measures for transportation and land use systems, although now numerous, have their own limitation (Table 1), and leave important aspects and policy areas uncovered, for example, the balance of transportation investment between different modes and across geographical areas as mandated by OJTA Close