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• 1. [Article] Understanding Transportation in Urban China - Local Residents vs Migrant Workers

  With rapid urbanization in China and other developing economies around the world, it has become imperative to understand household transportation behavior and expenditures in these urban areas. The objective ...

  Citation × Citation Citation Abstract Copy Title: Understanding Transportation in Urban China - Local Residents vs Migrant Workers Author: Liu, Jenny H. Year: 2016 With rapid urbanization in China and other developing economies around the world, it has become imperative to understand household transportation behavior and expenditures in these urban areas. The objective of this study is to examine the differences in the determinants of household transportation expenditures within two very distinct populations in Chinese cities: local residents and migrant workers. In order to craft policies or strategies promoting sustainable transportation or livability, it is essential to understand whether the drivers that push the migrant population towards spending more on transportation or owning bikes or motorbikes are similar to drivers for the rest of the population. This is further complicated by the differential treatment of households within China’s hukou (household registration) system which determines eligibility to receive public benefits in housing or education. Because nearly 40% of the population in urban areas are migrants, it is particularly important to examine how the transportation choices and behavior of migrant households may diverge (or not) from the rest of the urban dwellers. Utilizing a unique dataset that surveys both types of households, we utilize descriptive statistics and regression models to analyze their transportation expenditures. We find that household income level and automobile ownership are the strongest predictors of household transportation expenditures. In addition, larger local resident households who are younger tend to spend more on transportation while migrant households generally spend less on transportation, particularly those with stronger social networks and those who do not hold urban hukou status. We conclude that significant differences do exist and may be exacerbated by inequitable access to public services, housing opportunities and other urban amenities in addition to major differences in household composition, preferences and levels of participation in the urban economic and social systems. Title: Understanding Transportation in Urban China - Local Residents vs Migrant Workers Author: Liu, Jenny H. Year: 2016 With rapid urbanization in China and other developing economies around the world, it has become imperative to understand household transportation behavior and expenditures in these urban areas. The objective of this study is to examine the differences in the determinants of household transportation expenditures within two very distinct populations in Chinese cities: local residents and migrant workers. In order to craft policies or strategies promoting sustainable transportation or livability, it is essential to understand whether the drivers that push the migrant population towards spending more on transportation or owning bikes or motorbikes are similar to drivers for the rest of the population. This is further complicated by the differential treatment of households within China’s hukou (household registration) system which determines eligibility to receive public benefits in housing or education. Because nearly 40% of the population in urban areas are migrants, it is particularly important to examine how the transportation choices and behavior of migrant households may diverge (or not) from the rest of the urban dwellers. Utilizing a unique dataset that surveys both types of households, we utilize descriptive statistics and regression models to analyze their transportation expenditures. We find that household income level and automobile ownership are the strongest predictors of household transportation expenditures. In addition, larger local resident households who are younger tend to spend more on transportation while migrant households generally spend less on transportation, particularly those with stronger social networks and those who do not hold urban hukou status. We conclude that significant differences do exist and may be exacerbated by inequitable access to public services, housing opportunities and other urban amenities in addition to major differences in household composition, preferences and levels of participation in the urban economic and social systems. Close

• 2. [Article] The Trade-offs between Population Density and Households' Transportation-housing Costs

  As metropolitan area governments and others promote density-promoting “smart growth” policies, finer analysis is needed to quantify the impact of such policies on households' transportation and housing ...

  Citation × Citation Citation Abstract Copy Title: The Trade-offs between Population Density and Households' Transportation-housing Costs Author: Wang, Haizhong Year: 2015 As metropolitan area governments and others promote density-promoting “smart growth” policies, finer analysis is needed to quantify the impact of such policies on households' transportation and housing costs. Existing research suggests that households in urban areas trade-off between housing costs and transportation costs, but does not explore how policies to increase urban densities might explicitly impact this balance. Furthermore, the research does not adequately distinguish between the effect of urban area density and the effects of other factors associated with urban area density (e.g metropolitan area size and household incomes) on housing costs. This research uses the 2000 Census Public Use Micro Sample (PUMS) person and household data from 23 of the nation's most densely populated states to identify the impact of increased population density on three housing cost measures: household rents, housing unit values, and monthly mortgage payments. Log linear models were estimated for each housing cost measure using least-squares regression. Dependent variables included household, housing unit, and geographic area characteristics, including population density. The models were found to be very similar to one another in terms of the statistical significance and values of estimated model parameters. Population density (measured at the PUMS area level) was found to be statistically significant at the 0.01 level for all housing cost measures. Although significant, the parameter estimates show that the elasticity of housing cost with respect to population density is low, ranging from 0.041 to 0.05. This research also explores the relationship between housing costs and accessibility. Results show that households living in areas closer to jobs (as indicated by shorter average commute times) and households utilizing fixed route transit systems have marginally higher housing costs. Title: The Trade-offs between Population Density and Households' Transportation-housing Costs Author: Wang, Haizhong Year: 2015 As metropolitan area governments and others promote density-promoting “smart growth” policies, finer analysis is needed to quantify the impact of such policies on households' transportation and housing costs. Existing research suggests that households in urban areas trade-off between housing costs and transportation costs, but does not explore how policies to increase urban densities might explicitly impact this balance. Furthermore, the research does not adequately distinguish between the effect of urban area density and the effects of other factors associated with urban area density (e.g metropolitan area size and household incomes) on housing costs. This research uses the 2000 Census Public Use Micro Sample (PUMS) person and household data from 23 of the nation's most densely populated states to identify the impact of increased population density on three housing cost measures: household rents, housing unit values, and monthly mortgage payments. Log linear models were estimated for each housing cost measure using least-squares regression. Dependent variables included household, housing unit, and geographic area characteristics, including population density. The models were found to be very similar to one another in terms of the statistical significance and values of estimated model parameters. Population density (measured at the PUMS area level) was found to be statistically significant at the 0.01 level for all housing cost measures. Although significant, the parameter estimates show that the elasticity of housing cost with respect to population density is low, ranging from 0.041 to 0.05. This research also explores the relationship between housing costs and accessibility. Results show that households living in areas closer to jobs (as indicated by shorter average commute times) and households utilizing fixed route transit systems have marginally higher housing costs. Close

• 3. [Article] Edged Out: Location Efficient Housing and Low Income Households in the Portland Region

  Transportation costs are typically a household’s second largest expense after housing. Low income households are especially burdened by transportation costs, with low income households spending up to two ...

  Citation × Citation Citation Abstract Copy Title: Edged Out: Location Efficient Housing and Low Income Households in the Portland Region Author: Tremoulet, Andrée, Dann, Ryan Year: 2016 Transportation costs are typically a household’s second largest expense after housing. Low income households are especially burdened by transportation costs, with low income households spending up to two times as much of their income on transportation than higher income households (Litman, 2013). Thus, access to location efficient housing is especially important to low income households, including those who use a housing voucher to help pay for housing costs. This seminar presents the results of a two-year project supported by the Portland region's four public housing authorities to design and test tools to help people with housing vouchers find location efficient housing. We examine the challenges that residents faced and discuss policy implications. Title: Edged Out: Location Efficient Housing and Low Income Households in the Portland Region Author: Tremoulet, Andrée, Dann, Ryan Year: 2016 Transportation costs are typically a household’s second largest expense after housing. Low income households are especially burdened by transportation costs, with low income households spending up to two times as much of their income on transportation than higher income households (Litman, 2013). Thus, access to location efficient housing is especially important to low income households, including those who use a housing voucher to help pay for housing costs. This seminar presents the results of a two-year project supported by the Portland region's four public housing authorities to design and test tools to help people with housing vouchers find location efficient housing. We examine the challenges that residents faced and discuss policy implications. Close

• 4. [Article] Determinants of household vehicle miles traveled in Oregon

  This study models the household demand for vehicle miles traveled with a focus on the effects from bicycle ridership and transit ridership. Through the use of data from the Oregon Household Activity Survey ...

  Citation × Citation Citation Abstract Copy Title: Determinants of household vehicle miles traveled in Oregon Author: Holder, Daniel R. (Daniel Ross) This study models the household demand for vehicle miles traveled with a focus on the effects from bicycle ridership and transit ridership. Through the use of data from the Oregon Household Activity Survey collected on behalf of the Oregon Department of Transportation, evidence is found that households participating in bicycle travel do not consider the price of driving or income when making vehicle travel decisions. The study also finds that for households using public transit, the distance traveled using transit is not significant in impacting a household's consumption of vehicle travel. The methods and results of this study provide a foundation for future vehicle and bicycle demand research and provide pertinent information to policy makers intending to alter driving behavior within the state of Oregon and elsewhere. Title: Determinants of household vehicle miles traveled in Oregon Author: Holder, Daniel R. (Daniel Ross) This study models the household demand for vehicle miles traveled with a focus on the effects from bicycle ridership and transit ridership. Through the use of data from the Oregon Household Activity Survey collected on behalf of the Oregon Department of Transportation, evidence is found that households participating in bicycle travel do not consider the price of driving or income when making vehicle travel decisions. The study also finds that for households using public transit, the distance traveled using transit is not significant in impacting a household's consumption of vehicle travel. The methods and results of this study provide a foundation for future vehicle and bicycle demand research and provide pertinent information to policy makers intending to alter driving behavior within the state of Oregon and elsewhere. Close

• 5. [Article] The Motivations of Exurban Commuters Within a Region

  This case study of the Portland, Oregon, region analyzes and compares the emerging commuting patterns of exurban, small town, and suburban households. The analysis is based on a mail survey of 1408 households ...

  Citation × Citation Citation Abstract Copy Title: The Motivations of Exurban Commuters Within a Region Author: Davis, Judy Seppanen Year: 1989 This case study of the Portland, Oregon, region analyzes and compares the emerging commuting patterns of exurban, small town, and suburban households. The analysis is based on a mail survey of 1408 households who purchased homes in 1987. By examining the types of households moving to exurbia, their reasons for moving, and the impacts of their moves on journey-to-work a picture is drawn of the forces shaping exurban development and the implications of this type of development for transportation planning and policy. Title: The Motivations of Exurban Commuters Within a Region Author: Davis, Judy Seppanen Year: 1989 This case study of the Portland, Oregon, region analyzes and compares the emerging commuting patterns of exurban, small town, and suburban households. The analysis is based on a mail survey of 1408 households who purchased homes in 1987. By examining the types of households moving to exurbia, their reasons for moving, and the impacts of their moves on journey-to-work a picture is drawn of the forces shaping exurban development and the implications of this type of development for transportation planning and policy. Close

• 6. [Article] Tools for Assisting Low-Income Households with Finding Location-Efficient Housing

  Through a previously funded research project, Encouraging Low-Income Households to Make Location-Efficient Housing Choices, our team developed a toolkit to assist households utilizing Section 8 Housing ...

  Citation × Citation Citation Abstract Copy Title: Tools for Assisting Low-Income Households with Finding Location-Efficient Housing Author: Tremoulet, Andrée Year: 2016 Through a previously funded research project, Encouraging Low-Income Households to Make Location-Efficient Housing Choices, our team developed a toolkit to assist households utilizing Section 8 Housing Choice Vouchers with finding location-efficient/affordable housing. These tools are currently in use by the region’s four public housing authorities (PHAs). This technology transfer project provided the tools to social service providers who work with voucher recipients in the Portland region and provided a presentation on research findings and policy implications to transportation researchers, professionals and students. Specific activities included: • In-person presentations to groups of social service providers in three counties (four presentations total) who provide case management and other intensive social services for households with low incomes. • A TREC-sponsored presentation/webinar as part of the TREC Friday Transportation Seminar series In addition, final edits were completed on a manuscript included in Housing Policy Debate’s special issue on location-affordable housing. Additional research was begun on a manuscript for submission to the Transportation Research Board. Title: Tools for Assisting Low-Income Households with Finding Location-Efficient Housing Author: Tremoulet, Andrée Year: 2016 Through a previously funded research project, Encouraging Low-Income Households to Make Location-Efficient Housing Choices, our team developed a toolkit to assist households utilizing Section 8 Housing Choice Vouchers with finding location-efficient/affordable housing. These tools are currently in use by the region’s four public housing authorities (PHAs). This technology transfer project provided the tools to social service providers who work with voucher recipients in the Portland region and provided a presentation on research findings and policy implications to transportation researchers, professionals and students. Specific activities included: • In-person presentations to groups of social service providers in three counties (four presentations total) who provide case management and other intensive social services for households with low incomes. • A TREC-sponsored presentation/webinar as part of the TREC Friday Transportation Seminar series In addition, final edits were completed on a manuscript included in Housing Policy Debate’s special issue on location-affordable housing. Additional research was begun on a manuscript for submission to the Transportation Research Board. Close

• 7. [Article] ODOT Studies/Construction Site 9a (Sweet Home Households) Survey

  Contains survey instruments and a SPSS data set.

  Citation × Citation Citation Abstract Copy Title: ODOT Studies/Construction Site 9a (Sweet Home Households) Survey Author: Oregon Survey Research Laboratory, Oregon. Dept. of Transportation Year: 2005, 1999 Contains survey instruments and a SPSS data set. Title: ODOT Studies/Construction Site 9a (Sweet Home Households) Survey Author: Oregon Survey Research Laboratory, Oregon. Dept. of Transportation Year: 2005, 1999 Contains survey instruments and a SPSS data set. Close

• 8. [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

• 9. [Article] Light Rail Transit Impacts in Portland: The First Ten Years

  This paper examines how the first decade of light rail transit (LRT) in the Portland region has affected auto ownership, mode share, density, and property values. The empirical analysis provides evidence ...

  Citation × Citation Citation Abstract Copy Title: Light Rail Transit Impacts in Portland: The First Ten Years Author: Dueker, Kenneth, Bianco, Martha J. Year: 1999 This paper examines how the first decade of light rail transit (LRT) in the Portland region has affected auto ownership, mode share, density, and property values. The empirical analysis provides evidence that light rail has had some positive effect of rail on single-family property values, transit use, and slower growth of two-plus car households in the outer part of the LRT corridor as compared to an outer part of a parallel bus corridor. These effects may be the result of households self-selecting to make housing location decisions where LRT is located, rather than current households changing mode. This assessment of the evidence indicates the extent to which consumer preferences have responded to LRT investments. This kind of assessment is needed to provide the basis for estimating travel mode shares and market shares for dispersed and concentrated development forms. Examination of data suggests that it may be advisable for planners to entertain more modest expectations of LRT. Title: Light Rail Transit Impacts in Portland: The First Ten Years Author: Dueker, Kenneth, Bianco, Martha J. Year: 1999 This paper examines how the first decade of light rail transit (LRT) in the Portland region has affected auto ownership, mode share, density, and property values. The empirical analysis provides evidence that light rail has had some positive effect of rail on single-family property values, transit use, and slower growth of two-plus car households in the outer part of the LRT corridor as compared to an outer part of a parallel bus corridor. These effects may be the result of households self-selecting to make housing location decisions where LRT is located, rather than current households changing mode. This assessment of the evidence indicates the extent to which consumer preferences have responded to LRT investments. This kind of assessment is needed to provide the basis for estimating travel mode shares and market shares for dispersed and concentrated development forms. Examination of data suggests that it may be advisable for planners to entertain more modest expectations of LRT. Close

• 10. [Article] How Does Transportation Affordability Vary Among TODs, TADs, and Other Areas?

  Transit-oriented development (TOD) has gained popularity worldwide as a sustainable form of urbanism; it concentrates development near a transit station so as to reduce auto-dependency and increase ridership. ...

  Citation × Citation Citation Abstract Copy Title: How Does Transportation Affordability Vary Among TODs, TADs, and Other Areas? Author: Scheer, Brenda, Ewing, Reid, Park, Keunhyun, Khan, Shabnam Sifat Ara Year: 2017 Transit-oriented development (TOD) has gained popularity worldwide as a sustainable form of urbanism; it concentrates development near a transit station so as to reduce auto-dependency and increase ridership. Existing travel behavior studies in the context of TOD, however, are limited in terms of small sample size, inconsistent TOD classification methods, and failure to control for residential self-selection. Thus, this study has three research questions. First, how can we distinguish between Transit-oriented development (TOD) and Transit-adjacent development (TAD)? Second, how do travel behaviors vary between TODs and TADs? Third, how does transportation affordability vary between TODs and TADs? This study utilizes cluster analysis to classify station area types and propensity score matching to control residential self-selection. From cluster analysis with built-environment factors—density, diversity, and walkability—in a half-mile buffer, this study classifies existing station areas as TOD, TAD or Hybrid types. After controlling for residential self-selection, it shows that a TOD motivates its residents to walk more and take transit more while using personal vehicles less. The significant difference between TOD and TAD in both VMT and the number of auto trips demonstrates that TODs make the personal vehicle trips shorter and fewer. Travel behavior in the Hybrid type demonstrates the possibility of gradual and practical change. Finally, the percentage of household income spent on transportation is lower in TOD households than TAD households. This shows that a TOD household is likely to save enough money on vehicle ownership and use that, while it likely spends more on transit, the final result is a significantly lower financial burden from transportation. Title: How Does Transportation Affordability Vary Among TODs, TADs, and Other Areas? Author: Scheer, Brenda, Ewing, Reid, Park, Keunhyun, Khan, Shabnam Sifat Ara Year: 2017 Transit-oriented development (TOD) has gained popularity worldwide as a sustainable form of urbanism; it concentrates development near a transit station so as to reduce auto-dependency and increase ridership. Existing travel behavior studies in the context of TOD, however, are limited in terms of small sample size, inconsistent TOD classification methods, and failure to control for residential self-selection. Thus, this study has three research questions. First, how can we distinguish between Transit-oriented development (TOD) and Transit-adjacent development (TAD)? Second, how do travel behaviors vary between TODs and TADs? Third, how does transportation affordability vary between TODs and TADs? This study utilizes cluster analysis to classify station area types and propensity score matching to control residential self-selection. From cluster analysis with built-environment factors—density, diversity, and walkability—in a half-mile buffer, this study classifies existing station areas as TOD, TAD or Hybrid types. After controlling for residential self-selection, it shows that a TOD motivates its residents to walk more and take transit more while using personal vehicles less. The significant difference between TOD and TAD in both VMT and the number of auto trips demonstrates that TODs make the personal vehicle trips shorter and fewer. Travel behavior in the Hybrid type demonstrates the possibility of gradual and practical change. Finally, the percentage of household income spent on transportation is lower in TOD households than TAD households. This shows that a TOD household is likely to save enough money on vehicle ownership and use that, while it likely spends more on transit, the final result is a significantly lower financial burden from transportation. Close