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• 11. [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

• 12. [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

• 13. [Article] Cycling by Choice or Necessity? Exploring the Gender Gap in Bicycling in Oregon

  In Oregon, as elsewhere in the US, a greater percentage of men bicycle than women. This study illuminates the gender gap in bicycling by exploring differences in bicycling among women and men in Oregon. ...

  Citation × Citation Citation Abstract Copy Title: Cycling by Choice or Necessity? Exploring the Gender Gap in Bicycling in Oregon Author: Singleton, Patrick Allen Year: 2016 In Oregon, as elsewhere in the US, a greater percentage of men bicycle than women. This study illuminates the gender gap in bicycling by exploring differences in bicycling among women and men in Oregon. A one-day statewide travel survey of over 30,000 adults was examined. Comparisons between individual, household, and trip and activity characteristics for people grouped by gender (women vs. men) and bicycling (made a bicycle trip or normally commuted by bicycle vs. did not bicycle) were assessed using chi-squared tests of independence. Many significant differences were found. In particular, women living alone, not working, without a high-school degree, without a driver license, and living in low-income households or zero-vehicle households were less likely to bicycle than other women. Men with similar characteristics did not exhibit the same trends and sometimes were even more likely to bicycle. These findings are consistent with a perspective that women who bicycle are more likely to do so by choice, whereas women with fewer means are less likely to turn to bicycling than their male counterparts. In addition, there was partial support for the idea that women’s roles and responsibilities (for household maintenance and escorting, but not necessarily the presence of children) may contribute to this deficit. The study’s results begin to suggest a rethinking of bicycle-promoting policies and interventions to better target certain women, although further research is needed to more fully understand bicycling’s gender gap. Title: Cycling by Choice or Necessity? Exploring the Gender Gap in Bicycling in Oregon Author: Singleton, Patrick Allen Year: 2016 In Oregon, as elsewhere in the US, a greater percentage of men bicycle than women. This study illuminates the gender gap in bicycling by exploring differences in bicycling among women and men in Oregon. A one-day statewide travel survey of over 30,000 adults was examined. Comparisons between individual, household, and trip and activity characteristics for people grouped by gender (women vs. men) and bicycling (made a bicycle trip or normally commuted by bicycle vs. did not bicycle) were assessed using chi-squared tests of independence. Many significant differences were found. In particular, women living alone, not working, without a high-school degree, without a driver license, and living in low-income households or zero-vehicle households were less likely to bicycle than other women. Men with similar characteristics did not exhibit the same trends and sometimes were even more likely to bicycle. These findings are consistent with a perspective that women who bicycle are more likely to do so by choice, whereas women with fewer means are less likely to turn to bicycling than their male counterparts. In addition, there was partial support for the idea that women’s roles and responsibilities (for household maintenance and escorting, but not necessarily the presence of children) may contribute to this deficit. The study’s results begin to suggest a rethinking of bicycle-promoting policies and interventions to better target certain women, although further research is needed to more fully understand bicycling’s gender gap. Close

• 14. [Article] When Cities Shrink, Affordability Does Too

  To better understand the real costs of housing and transportation in a declining urban context, NITC researchers implemented a household survey to determine whether the assumptions made in existing research ...

  Citation × Citation Citation Abstract Copy Title: When Cities Shrink, Affordability Does Too Author: Ganning, Joanna, Tighe, Jenna Rosie Year: 2017 To better understand the real costs of housing and transportation in a declining urban context, NITC researchers implemented a household survey to determine whether the assumptions made in existing research literature and in the LAI regarding household expenditures and transportation accessibility hold true when analyzing shrinking cities—generally, cities characterized by a long-term loss in occupied housing units. The project was led by Joanna Ganning of Cleveland State University, who has conducted previous research into shrinking cities with the support of the NITC program. Title: When Cities Shrink, Affordability Does Too Author: Ganning, Joanna, Tighe, Jenna Rosie Year: 2017 To better understand the real costs of housing and transportation in a declining urban context, NITC researchers implemented a household survey to determine whether the assumptions made in existing research literature and in the LAI regarding household expenditures and transportation accessibility hold true when analyzing shrinking cities—generally, cities characterized by a long-term loss in occupied housing units. The project was led by Joanna Ganning of Cleveland State University, who has conducted previous research into shrinking cities with the support of the NITC program. Close

• 15. [Article] What Do We Know About Location Affordability in U.S. Shrinking Cities?

  In late 2013, the Department of Housing and Urban Development (HUD) launched the Location Affordability Index (LAI) portal. Their dataset uses models to estimate typical amount households spend on housing ...

  Citation × Citation Citation Abstract Copy Title: What Do We Know About Location Affordability in U.S. Shrinking Cities? Author: Ganning, Joanna, Tighe, Jenna Rosie Year: 2017 In late 2013, the Department of Housing and Urban Development (HUD) launched the Location Affordability Index (LAI) portal. Their dataset uses models to estimate typical amount households spend on housing and transportation at the block group level, and calculates “H + T Affordability,” the percent of household income spent on these items. In our previous research, we analyzed 81 shrinking cities to determine how location affordability differs across various neighborhoods. Our results suggest that households in declining neighborhoods, as compared to stable or redeveloping neighborhoods, face the greatest H + T affordability challenges in shrinking cities. Furthermore, in declining neighborhoods, virtually all of the additional affordability challenges encountered can be accounted for by differences in transportation affordability rather than housing. Since there is virtually no research to either validate or suggest bias in the LAI data, and a declining neighborhood in a shrinking city presents both a relatively common yet entirely dissimilar context to the norm, we feel that this data should be carefully calibrated to, and tested for, this setting to ensure that appropriate and efficient policy follow. In this report, we present the results of two research phases: a strictly quantitative first stage in which the LAI is disassembled and reassembled, taking stock of assumptions, methods, and accuracy. This work finds that the LAI generally over-estimates housing costs, but more for renters and more in metropolitan areas. Estimations of transportation cost burdens are built largely from unreliable data and using models which cannot be replicated, leading us to conclude that these cost burden estimates may not be reliable. In the second research phase, which is survey-based, we gather household-level data from 12 Census tracts in Cleveland, Ohio, to estimate household housing and transportation costs and cost burdens and gain a clearer sense of budget trade-offs where costs are unaffordable. The survey results support the first research stage. The LAI over-estimates housing costs for these neighborhoods by approximately 17% and transportation costs by approximately 126%, meaning the LAI estimates for transportation are not reliable. By and large, households trade essentials, investing, and paying bills (at all or in full) to cover their costs in housing and transportation. Title: What Do We Know About Location Affordability in U.S. Shrinking Cities? Author: Ganning, Joanna, Tighe, Jenna Rosie Year: 2017 In late 2013, the Department of Housing and Urban Development (HUD) launched the Location Affordability Index (LAI) portal. Their dataset uses models to estimate typical amount households spend on housing and transportation at the block group level, and calculates “H + T Affordability,” the percent of household income spent on these items. In our previous research, we analyzed 81 shrinking cities to determine how location affordability differs across various neighborhoods. Our results suggest that households in declining neighborhoods, as compared to stable or redeveloping neighborhoods, face the greatest H + T affordability challenges in shrinking cities. Furthermore, in declining neighborhoods, virtually all of the additional affordability challenges encountered can be accounted for by differences in transportation affordability rather than housing. Since there is virtually no research to either validate or suggest bias in the LAI data, and a declining neighborhood in a shrinking city presents both a relatively common yet entirely dissimilar context to the norm, we feel that this data should be carefully calibrated to, and tested for, this setting to ensure that appropriate and efficient policy follow. In this report, we present the results of two research phases: a strictly quantitative first stage in which the LAI is disassembled and reassembled, taking stock of assumptions, methods, and accuracy. This work finds that the LAI generally over-estimates housing costs, but more for renters and more in metropolitan areas. Estimations of transportation cost burdens are built largely from unreliable data and using models which cannot be replicated, leading us to conclude that these cost burden estimates may not be reliable. In the second research phase, which is survey-based, we gather household-level data from 12 Census tracts in Cleveland, Ohio, to estimate household housing and transportation costs and cost burdens and gain a clearer sense of budget trade-offs where costs are unaffordable. The survey results support the first research stage. The LAI over-estimates housing costs for these neighborhoods by approximately 17% and transportation costs by approximately 126%, meaning the LAI estimates for transportation are not reliable. By and large, households trade essentials, investing, and paying bills (at all or in full) to cover their costs in housing and transportation. Close

• 16. [Article] Explaining Unequal Transportation Outcomes in a Gentrifying City: The Example of Portland, Oregon

  This dissertation examines unequal outcomes of urban transportation policies in the neoliberal era. It focuses on inequalities in the Portland, Oregon metro area between 1994 and 2011 as measured in three ...

  Citation × Citation Citation Abstract Copy Title: Explaining Unequal Transportation Outcomes in a Gentrifying City: The Example of Portland, Oregon Author: Arriaga Cordero, Eugenio Year: 2017 This dissertation examines unequal outcomes of urban transportation policies in the neoliberal era. It focuses on inequalities in the Portland, Oregon metro area between 1994 and 2011 as measured in three key areas: 1) access to public transit; 2) the journey-to-work; and 3) "household-serving" trips. Growing concern over the harmful impacts from an increasing dependence on cars has led planners in the U.S. to encourage a modal shift from private car to public transit, bicycling, and walking. The required policies to make this modal shift possible, however, might inadvertently be benefiting "choice" riders at the cost of transport disadvantaged groups. Other contributing factors to this unequal benefit appear to be the suburbanization of poverty, an ongoing gentrification of central areas, and market forces that make it difficult for low income groups to afford housing in transit-rich neighborhoods. The Oregon Household Activity and Travel surveys are used to answer the three major research questions in this dissertation: what has been the effect of neoliberalism on access to public transit?, how do gender, race/ethnicity, and income inequality affect the journey-to-work in Portland?, and how do household-serving trips vary by gender in Portland? . Six hypothesis are tested in answering these questions. Those related to access to transit draw on Fred Block's theory of the capitalist state and the "urban growth machine" concept, both of which predict spatially unequal outcomes from neoliberal ideology. Hypotheses about the journey to work draw on a rich body of literature around social relations in the household and the job market, as well as residential location. The final question, about household-serving trips, draws on theories of gender socialization. Findings showed that: (i) individuals in the Portland metro area had less access overall to bus public transit in 2011 than in 1994; (ii) impoverished dependent riders have lost access to transit service over time, whereas choice dependent riders increased their access to public transit; (iii) low income groups have been "forced" into greater car-ownership, in part due to the lower access to public transit; (iv) women in Portland have shorter journey-to-work trips than men; (v) Blacks have longer journey-to-work trips than Whites and Latinos; (vi) low-income individuals have shorter journey-to-work trips than higher income individuals; and (vii) women with children make more household-serving trips than men in similar family structures. Title: Explaining Unequal Transportation Outcomes in a Gentrifying City: The Example of Portland, Oregon Author: Arriaga Cordero, Eugenio Year: 2017 This dissertation examines unequal outcomes of urban transportation policies in the neoliberal era. It focuses on inequalities in the Portland, Oregon metro area between 1994 and 2011 as measured in three key areas: 1) access to public transit; 2) the journey-to-work; and 3) "household-serving" trips. Growing concern over the harmful impacts from an increasing dependence on cars has led planners in the U.S. to encourage a modal shift from private car to public transit, bicycling, and walking. The required policies to make this modal shift possible, however, might inadvertently be benefiting "choice" riders at the cost of transport disadvantaged groups. Other contributing factors to this unequal benefit appear to be the suburbanization of poverty, an ongoing gentrification of central areas, and market forces that make it difficult for low income groups to afford housing in transit-rich neighborhoods. The Oregon Household Activity and Travel surveys are used to answer the three major research questions in this dissertation: what has been the effect of neoliberalism on access to public transit?, how do gender, race/ethnicity, and income inequality affect the journey-to-work in Portland?, and how do household-serving trips vary by gender in Portland? . Six hypothesis are tested in answering these questions. Those related to access to transit draw on Fred Block's theory of the capitalist state and the "urban growth machine" concept, both of which predict spatially unequal outcomes from neoliberal ideology. Hypotheses about the journey to work draw on a rich body of literature around social relations in the household and the job market, as well as residential location. The final question, about household-serving trips, draws on theories of gender socialization. Findings showed that: (i) individuals in the Portland metro area had less access overall to bus public transit in 2011 than in 1994; (ii) impoverished dependent riders have lost access to transit service over time, whereas choice dependent riders increased their access to public transit; (iii) low income groups have been "forced" into greater car-ownership, in part due to the lower access to public transit; (iv) women in Portland have shorter journey-to-work trips than men; (v) Blacks have longer journey-to-work trips than Whites and Latinos; (vi) low-income individuals have shorter journey-to-work trips than higher income individuals; and (vii) women with children make more household-serving trips than men in similar family structures. Close

• 17. [Article] Do TODs Make a Difference?

  In this report, we present research that measures the outcomes of TOD areas in relation to their metropolitan area controls with respect to (1) jobs by sector; (2) housing choice for household types based ...

  Citation × Citation Citation Abstract Copy Title: Do TODs Make a Difference? Author: Nelson, Arthur C., Miller, Matt, Eskic, Dejan, Kim, Keuntae, Ewing, Reid, Liu, Jenny H., Berggren, Matt, Mumuni, Zakari Year: 2015 In this report, we present research that measures the outcomes of TOD areas in relation to their metropolitan area controls with respect to (1) jobs by sector; (2) housing choice for household types based on key demographic characteristics; (3) housing affordability based on transportation costs; and (4) job-worker balance as a measure of accessibility. Prior literature has not systematically evaluated TOD outcomes in these respects with respect to light rail transit (LRT), commuter rail transit (CRT), bus rapid transit (BRT), and streetcar transit (SCT) systems. Our analysis helps close some of these gaps. We apply our analysis to 23 fixed-guideway transit systems operating in 17 metropolitan areas in the South and West that have one or more of those systems. We find: (1) Most TOD areas gained jobs in the office, knowledge, education, health care and entertainment sectors, adding more than $100 billion in wages capitalized over time; (2) In assessing economic resilience associated with LRT systems, jobs continued to shift away from TOD areas before the Great Recession, the pace slowed during the recession but reversed during recovery, leading us to speculate that LRT TOD areas may have transformed metropolitan economies served by LRT systems; (3) Rents for offices, retail stores and apartments were higher when closer to SCT systems, had mixed results with respect LRT systems, but were mostly lower with respect to CRT systems (our BRT sample was too small to evaluate); (4) SCT systems performed best in terms of increasing their TOD-area shares of metropolitan population, households and householders by age, housing units, and renters with BRT systems performing less well while LRT and CRT systems experienced a much smaller shift in the share of growth; (5) Household transportation costs as a share of budgets increase with respect to distance from LRT transit stations to seven miles, suggesting the proximity to LRT stations reduces total household transportation costs; (6) Emerging trends that may favor higher-wage jobs locating in TOD areas over time than lower- or middle-wage jobs, perhaps because TOD areas attract more investment which requires more productive, higher-paid labor to justify the investment; and (7) The share of workers who commute 10 minutes or less to work increases nearly one-half of 1 percent for each half-mile their resident block group is to an LRT transit station, capping at a gain of 1.3 percent, which is not a trivial gain. Our report summarizes case studies of 23 transit systems and three journal articles based on our research. Title: Do TODs Make a Difference? Author: Nelson, Arthur C., Miller, Matt, Eskic, Dejan, Kim, Keuntae, Ewing, Reid, Liu, Jenny H., Berggren, Matt, Mumuni, Zakari Year: 2015 In this report, we present research that measures the outcomes of TOD areas in relation to their metropolitan area controls with respect to (1) jobs by sector; (2) housing choice for household types based on key demographic characteristics; (3) housing affordability based on transportation costs; and (4) job-worker balance as a measure of accessibility. Prior literature has not systematically evaluated TOD outcomes in these respects with respect to light rail transit (LRT), commuter rail transit (CRT), bus rapid transit (BRT), and streetcar transit (SCT) systems. Our analysis helps close some of these gaps. We apply our analysis to 23 fixed-guideway transit systems operating in 17 metropolitan areas in the South and West that have one or more of those systems. We find: (1) Most TOD areas gained jobs in the office, knowledge, education, health care and entertainment sectors, adding more than $100 billion in wages capitalized over time; (2) In assessing economic resilience associated with LRT systems, jobs continued to shift away from TOD areas before the Great Recession, the pace slowed during the recession but reversed during recovery, leading us to speculate that LRT TOD areas may have transformed metropolitan economies served by LRT systems; (3) Rents for offices, retail stores and apartments were higher when closer to SCT systems, had mixed results with respect LRT systems, but were mostly lower with respect to CRT systems (our BRT sample was too small to evaluate); (4) SCT systems performed best in terms of increasing their TOD-area shares of metropolitan population, households and householders by age, housing units, and renters with BRT systems performing less well while LRT and CRT systems experienced a much smaller shift in the share of growth; (5) Household transportation costs as a share of budgets increase with respect to distance from LRT transit stations to seven miles, suggesting the proximity to LRT stations reduces total household transportation costs; (6) Emerging trends that may favor higher-wage jobs locating in TOD areas over time than lower- or middle-wage jobs, perhaps because TOD areas attract more investment which requires more productive, higher-paid labor to justify the investment; and (7) The share of workers who commute 10 minutes or less to work increases nearly one-half of 1 percent for each half-mile their resident block group is to an LRT transit station, capping at a gain of 1.3 percent, which is not a trivial gain. Our report summarizes case studies of 23 transit systems and three journal articles based on our research. Close

• 18. [Article] Multiday GPS Travel Behavior Data for Travel Analysis: The Effect of Day-to-Day Travel Time Variability on Auto Travel Choices

  This project explored the potential of archived multi-day GPS data to expand the understanding of travel-time reliability. While reliability is often observed and considered at the system or segment level, ...

  Citation × Citation Citation Abstract Copy Title: Multiday GPS Travel Behavior Data for Travel Analysis: The Effect of Day-to-Day Travel Time Variability on Auto Travel Choices Author: Dill, Jennifer, Broach, Joseph Paul, Deutsch-Burgne, Kate, Xu, Yanzhi, Guensler, Randall, Levinson, David, Tang, Wenyun Year: 2014 This project explored the potential of archived multi-day GPS data to expand the understanding of travel-time reliability. While reliability is often observed and considered at the system or segment level, travel-time uncertainty is also experienced at the household and trip level. Any move toward incorporating reliability into regional travel models will necessitate a re-examination of travel-time variation at more disaggregate levels. The analysis uses multiday vehicle-based GPS data analyzed within the Transportation Secure Data Center (TSDC). There were three major goals for the research. The first goal was to consider the ways in which multiday GPS data could be translated into data on reliability. The second goal was to explore relationships between trip- and household-level travel-time reliability and related trip, household, network, and urban location factors. The third goal involved use of the topic of reliability as a case study to test the usefulness of the TSDC in its current form for academic research. Title: Multiday GPS Travel Behavior Data for Travel Analysis: The Effect of Day-to-Day Travel Time Variability on Auto Travel Choices Author: Dill, Jennifer, Broach, Joseph Paul, Deutsch-Burgne, Kate, Xu, Yanzhi, Guensler, Randall, Levinson, David, Tang, Wenyun Year: 2014 This project explored the potential of archived multi-day GPS data to expand the understanding of travel-time reliability. While reliability is often observed and considered at the system or segment level, travel-time uncertainty is also experienced at the household and trip level. Any move toward incorporating reliability into regional travel models will necessitate a re-examination of travel-time variation at more disaggregate levels. The analysis uses multiday vehicle-based GPS data analyzed within the Transportation Secure Data Center (TSDC). There were three major goals for the research. The first goal was to consider the ways in which multiday GPS data could be translated into data on reliability. The second goal was to explore relationships between trip- and household-level travel-time reliability and related trip, household, network, and urban location factors. The third goal involved use of the topic of reliability as a case study to test the usefulness of the TSDC in its current form for academic research. Close

• 19. [Article] Indicators of the Metroscape: Housing Cost Burden

  Elizabeth Morehead focuses on the percentage of households spending 30 percent or more of their income on housing.

  Citation × Citation Citation Abstract Copy Title: Indicators of the Metroscape: Housing Cost Burden Author: Morehead, Elizabeth Year: 2016 Elizabeth Morehead focuses on the percentage of households spending 30 percent or more of their income on housing. Title: Indicators of the Metroscape: Housing Cost Burden Author: Morehead, Elizabeth Year: 2016 Elizabeth Morehead focuses on the percentage of households spending 30 percent or more of their income on housing. Close

• 20. [Article] Portland MSA Regional Economic Outlook, April 2017

  NERC's biannual forecast of employment, income, housing permits, and house prices for the Portland MSA. The April release also includes the annual forecast of population and households.

  Citation × Citation Citation Abstract Copy Title: Portland MSA Regional Economic Outlook, April 2017 Author: Potiowsky, Thomas, Portland State University. Northwest Economic Research Center Year: 2017 NERC's biannual forecast of employment, income, housing permits, and house prices for the Portland MSA. The April release also includes the annual forecast of population and households. Title: Portland MSA Regional Economic Outlook, April 2017 Author: Potiowsky, Thomas, Portland State University. Northwest Economic Research Center Year: 2017 NERC's biannual forecast of employment, income, housing permits, and house prices for the Portland MSA. The April release also includes the annual forecast of population and households. Close