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• 1. [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

• 2. [Article] National Study of BRT Development Outcomes

  Bus rapid transit (BRT) is poised to become the “next big thing” in public transit. From virtually no systems a generation ago, there are now 19 lines operating with at least seven under construction and ...

  Citation × Citation Citation Abstract Copy Title: National Study of BRT Development Outcomes Author: Nelson, Arthur C., Ganning, Joanna Year: 2015 Bus rapid transit (BRT) is poised to become the “next big thing” in public transit. From virtually no systems a generation ago, there are now 19 lines operating with at least seven under construction and more than 20 in the planning stages. BRT is gaining popularity because of its combination of low capital cost and potential for high levels of benefits. But are BRT systems effective in attracting development? To answer this and many more trending BRT questions, the Metropolitan Research Center (MRC) reviewed multiple studies using data from the United States Census Bureau, Longitudinal Employer-Household Dynamics, and CoStar data in a quasi-experimental, compare-and-contrast research design to compare jobs, population and households, and housing units before and after BRT station construction relative to control stations and the stations’ metropolitan context. Our units of analysis will be 2010 census blocks and their assemblages as data allow within 0.25 mile buffers. The final products of the MRC’s research include case studies of each BRT and meta-assessments of whether and to what extent BRT systems attract development. Some of the studies answer the following questions: What are the effects of BRT on sectoral employment change in the United States? How does BRT affect housing location affordability? What is the relationship between BRT and its surrounding area’s wagerelated job change? These answers can provide MPOs with information to aid in the decision-making process in terms of economic development and transportation planning options. Title: National Study of BRT Development Outcomes Author: Nelson, Arthur C., Ganning, Joanna Year: 2015 Bus rapid transit (BRT) is poised to become the “next big thing” in public transit. From virtually no systems a generation ago, there are now 19 lines operating with at least seven under construction and more than 20 in the planning stages. BRT is gaining popularity because of its combination of low capital cost and potential for high levels of benefits. But are BRT systems effective in attracting development? To answer this and many more trending BRT questions, the Metropolitan Research Center (MRC) reviewed multiple studies using data from the United States Census Bureau, Longitudinal Employer-Household Dynamics, and CoStar data in a quasi-experimental, compare-and-contrast research design to compare jobs, population and households, and housing units before and after BRT station construction relative to control stations and the stations’ metropolitan context. Our units of analysis will be 2010 census blocks and their assemblages as data allow within 0.25 mile buffers. The final products of the MRC’s research include case studies of each BRT and meta-assessments of whether and to what extent BRT systems attract development. Some of the studies answer the following questions: What are the effects of BRT on sectoral employment change in the United States? How does BRT affect housing location affordability? What is the relationship between BRT and its surrounding area’s wagerelated job change? These answers can provide MPOs with information to aid in the decision-making process in terms of economic development and transportation planning options. Close

• 3. [Article] Webinar: The Association Between Light Rail Transit, Streetcars and Bus Rapid Transit on Jobs, People and Rents

  What are the job, residential development and market rent outcomes of Light Rail Transit (LRT), Streetcar Transit (SCT) and Bus Rapid Transit (BRT)? LRT, SCR and BRT investments are spreading rapidly across ...

  Citation × Citation Citation Abstract Copy Title: Webinar: The Association Between Light Rail Transit, Streetcars and Bus Rapid Transit on Jobs, People and Rents Author: Nelson, Arthur C. Year: 2016 What are the job, residential development and market rent outcomes of Light Rail Transit (LRT), Streetcar Transit (SCT) and Bus Rapid Transit (BRT)? LRT, SCR and BRT investments are spreading rapidly across the country but there is scant evidence of their effect on where people work and live, and effects on market rents as an indicator of value. This webinar will summarize several years of NITC-sponsored research into development outcomes associated with these transit investments. The webinar will be led by NITC researcher Arthur C. Nelson who was the principal investigator of two projects: Do TODs Make a Difference? and National Study of Bus Rapid Transit Development Outcomes. Using a common database and analytic methods applied to 11 LRT systems, 8 BRT systems, and 3 SCT systems, Nelson will summarize key findings relating to: The extent to which these transit systems shifted job and population patterns, How these systems are shaping the real estate rental market for office, retail and apartment developments, Their influence on job attractiveness by wage categories, and, The spatial interactions between transit and land use patterns. This webinar will also raise questions for future research. Title: Webinar: The Association Between Light Rail Transit, Streetcars and Bus Rapid Transit on Jobs, People and Rents Author: Nelson, Arthur C. Year: 2016 What are the job, residential development and market rent outcomes of Light Rail Transit (LRT), Streetcar Transit (SCT) and Bus Rapid Transit (BRT)? LRT, SCR and BRT investments are spreading rapidly across the country but there is scant evidence of their effect on where people work and live, and effects on market rents as an indicator of value. This webinar will summarize several years of NITC-sponsored research into development outcomes associated with these transit investments. The webinar will be led by NITC researcher Arthur C. Nelson who was the principal investigator of two projects: Do TODs Make a Difference? and National Study of Bus Rapid Transit Development Outcomes. Using a common database and analytic methods applied to 11 LRT systems, 8 BRT systems, and 3 SCT systems, Nelson will summarize key findings relating to: The extent to which these transit systems shifted job and population patterns, How these systems are shaping the real estate rental market for office, retail and apartment developments, Their influence on job attractiveness by wage categories, and, The spatial interactions between transit and land use patterns. This webinar will also raise questions for future research. Close

• 4. [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