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Transit-Related Development New and Emerging Research

Transit-Related Development New and Emerging Research. Arthur C. Nelson, Ph.D., FAICP, Metropolitan Research Center, University of Utah with support from National Center for Transportation & Communities Reno, NV December 6, 2013. Outline.

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Transit-Related Development New and Emerging Research

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  1. Transit-Related DevelopmentNew and Emerging Research Arthur C. Nelson, Ph.D., FAICP, Metropolitan Research Center, University of Utah with support from National Center for Transportation & Communities Reno, NV December 6, 2013
  2. Outline Residential values with respect to light rail station distance  TRAX case study Job and population change with respect to street car distance  Portland streetcar case study Bus Rapid Transit and employment growth  Land County, Oregon Case Study Forthcoming BRT research
  3. Share of Change in Jobs With Respect to Distance from BRT Stations, 2004 and 2010 Source: Nelson et al., Metropolitan Research Center, University of Utah.
  4. Review BRT outcomes so soon are a surprise (for me). Success attributable to “planning for success” by locating stations at current/planned high-demand locations. It is one design among many flavors  will results hold up under different designs? Will lagging sectors rebound at BR stations? Will results hold for ½ mile rail-transit areas? Are there any induced jobs or just resorting? Will people also follow BRT or is it just jobs? More research needed but outcomes appear promising.
  5. Published Arthur C. Nelson et al. (2013), Bus Rapid Transit and Economic Development: Case Study of the Eugene-Springfield BRT System. Journal of Public Transportation, Vol. 16, No. 3: 41-57
  6. Presentation and Target Journal To be presented to Transportation Research Board, 2014 Arthur C. Nelson et al. targeted for Journal of Public Transportation.
  7. Apartment Values with respect to Light Rail Station Proximity In theory higher density housing should be more valuable the closer it is to transit stations. Only one study evaluates price differences per square foot in apartment values within ½ mile of heavy-rail stations compared to farther away. No study evaluates the value gradient with respect to transit station distance.
  8. 17 municipalities; 6 unincorporated communities Population: 1.03 million (2010 Census) 4 Light Rail Lines 41 Stations 35 miles of track Study Area: Salt Lake County, Utah Image: saltlakebusads.com
  9. Hedonic Model
  10. Distance to TRAX: Value Premiums (per ft2) Mean value: $87/ft2 7.276* Up to ¼ mile 3.628* ¼ to ½ mile 4.739* ½ to ¾ mile 3.621* ¾ to 1 mile *Significant p-value 3.647* 1 to 1¼ mile 1.678 1¼ to 1½ mile reference Over 1½ mile
  11. Presentation and Publication Presented to Transportation Research Board, 2013. Susan J. Petheram, Arthur C. Nelson, et al. (2013). Using the Real Estate Market to Establish Light Rail Station Catchment Areas: Case Study of Attached Residential Property Values in Salt Lake County with respect to Light Rail Station Distance. Transportation Research Record
  12. New Research on Single-Family Detached Premiums
  13. New Research on Attached Owner Residential Premiums
  14. Presentation and Publication To be presented to Transportation Research Board, 2014 Susan J. Petheram, Arthur C. Nelson, et al., targeted to Transportation Research A.
  15. National Study of BRT Development Outcomes Ranked #1 for funding by NITC National study of all 19 BRT systems in place in 2011. Quasi-experimental compare-and-contrast research design to compare jobs, population and households, and housing units before and after BRT implementation relative to a control corridor and within the metropolitan context. Spatial regression analysis to evaluate the relationship between BRT and employment controlling for socioeconomic, location and other factors. Hedonic analysis to compare market differences in terms of nonresidential and apartment residential rents and vacancy rates with respect to BRT station proximity, and whether there are variations with respect to BRT flavor.  Jobs-housing balance analysis will tie together the residential and non-residential analyses. 2010 census blocks within one-eighth mile buffers, out to two miles. Census, Longitudinal Employer-Household Dynamics, CoStar data
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