Location Efficiency and Mortgage Risks for Low-Income Households

References

• Allison, P. D. (1984). Event history analysis regression for longitudinal event data (1st ed.). Beverly Hills, CA: SAGE Publications.
   Google Scholar
• Blackman, A., & Krupnick, A. (2001). Location-efficient mortgages: Is the rationale sound? Journal of Policy Analysis and Management, 20, 633–649. 10.1002/(ISSN)1520-6688
   Web of Science ®Google Scholar
• Bureau of Labor Statistics. (2013). Consumer expenditure survey. Retrieved from http://www.bls.gov/cex/#tables
   Google Scholar
• Burton, E., Jenks, M., & Williams, K. (2003). The compact city: A sustainable urban form? London: Routledge.
   Google Scholar
• Center for Neighborhood Technology. (2013, June 19). Celebrating 35 years: Location efficient mortgages (LEMs). Retrieved from http://www.cnt.org/2013/06/19/celebrating-35-years-location-efficient-mortgages-lems/
   Google Scholar
• Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2, 199–219. doi: 10.1016/S1361-9209(97)00009-6
   Web of Science ®Google Scholar
• Chatman, D., & Voorhoeve, N. (2010). The transportation-credit mortgage: A post-mortem. Housing Policy Debate, 20, 355–382. doi: 10.1080/10511481003788786
   Web of Science ®Google Scholar
• Crane, R. (2000). The influence of urban form on travel: An interpretive review. Journal of Planning Literature, 15, 3–23. doi: 10.1177/08854120022092890
   Google Scholar
• Cutts, A. C., & Merrill, W. A. (2008). Interventions in mortgage default: Policies and practices to prevent home loss and lower costs ( Freddie Mac Working Paper No. 08-01). McLean, VA: Freddie Mac. Retrieved from http://www.clevelandfed.org/Our_Region/Community_Development/pdf/interventions_in_mortgage_default_Frank.pdf
   Google Scholar
• Dalvi, M. Q., & Martin, K. (1976). The measurement of accessibility: Some preliminary results. Transportation, 5, 17–42. doi: 10.1007/BF00165245
   Web of Science ®Google Scholar
• Energy Information Administration. (2012). 2009 residential energy consumption survey. Washington, DC. Retrieved from http://www.eia.gov/consumption/residential/data/2009/index.cfm?view=consumption#summary
   Google Scholar
• Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-Analysis. Journal of the American Planning Association, 76, 265–294. doi: 10.1080/01944361003766766
   Web of Science ®Google Scholar
• Foster, C., & Van Order, R. (1984). An option-based model of mortgage default. Housing Finance Review, 3, 351–372.
   Web of Science ®Google Scholar
• Frey, H. (2003). Designing the city: Toward a more sustainable urban form. New York, NY: Taylor & Francis.
   Google Scholar
• Geurs, K. T., & van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: Review and research directions. Journal of Transport Geography, 12, 127–140. doi: 10.1016/j.jtrangeo.2003.10.005
   Google Scholar
• Grengs, J., Levine, J., Shen Q., & Shen Q. (2010). Intermetropolitan comparison of transportation accessibility: Sorting out mobility and proximity in San Francisco and Washington, DC. Journal of Planning Education and Research, 29, 427–443. doi: 10.1177/0739456X10363278
   Web of Science ®Google Scholar
• Handy, S. L., Boarnet, M. G., Ewing, R., & Killingsworth, R. E. (2002). How the built environment affects physical activity. American Journal of Preventive Medicine, 23, 64–73. doi: 10.1016/S0749-3797(02)00475-0
   PubMed Web of Science ®Google Scholar
• Henry, J., & Goldstein, D. (2010, January). Reducing foreclosures and environmental impacts through location-efficient neighborhood design. Retrieved from http://www.nrdc.org/energy/files/locationefficiency4pgr.pdf
   Google Scholar
• Hess, D. B., & Almeida, T. M. (2007). Impact of proximity to light rail rapid transit on station-area property values in Buffalo, New York. Urban Studies, 44, 1041–1068. doi: 10.1080/0042098070125600510.1080/00420980701256005
   Web of Science ®Google Scholar
• Holtzclaw, J., Clear, R., Dittmar, H., Goldstein, D., & Haas, P. (2002). Location efficiency: Neighborhood and socioeconomic characteristics determine auto ownership and use - studies in Chicago, Los Angeles, and San Francisco. Transportation Planning and Technology, 25, 1–27. doi: 10.1080/03081060290032033
   Web of Science ®Google Scholar
• Kalbfleisch, J. D. & Prentice, R. L. (2002). The statistical analysis of failure time data (2nd ed.). Hoboken, N.J: Wiley-Interscience. doi: 10.1002/9781118032985
   Google Scholar
• Kau, J. B., Keenan, D. C., Muller, W. J., & Epperson, J. F. (1992). A generalized valuation model for fixed-rate residential mortgages. Journal of Money, Credit and Banking, 24, 279–299. doi: 10.2307/1992718
   Web of Science ®Google Scholar
• Kaza, N., Quercia, R. G., & Tian, C. (2014). Home energy efficiency and mortgage risks. Cityscape, 16, 263–282.
   Google Scholar
• Khattak, A. J., & Rodriguez, D. (2005). Travel behavior in neo-traditional neighborhood developments: A case study in USA. Transportation Research Part A: Policy and Practice, 39, 481–500. doi: 10.1016/j.tra.2005.02.009
   Web of Science ®Google Scholar
• Krizek, K. J. (2003a). Operationalizing neighborhood accessibility for land use-travel behavior research and regional modeling. Journal of Planning Education and Research, 22, 270–287. doi: 10.1177/0739456X02250315
   Web of Science ®Google Scholar
• Krizek, K. J. (2003b). Residential relocation and changes in urban travel: Does neighborhood-scale urban form matter? Journal of the American Planning Association, 69, 265–281. doi: 10.1080/01944360308978019
   Web of Science ®Google Scholar
• Krizek, K. J. (2003c). Transit supportive home loans: Theory, application, and prospects for smart growth. Housing Policy Debate, 14, 657–677.
   Web of Science ®Google Scholar
• Krizek, K. J., & El-Geneidy, A. (2007). Segmenting preferences and habits of transit users and non-users. Journal of Public Transportation, 10, 71–94. doi: 10.5038/2375-0901.10.3.5
   Google Scholar
• Litman, T. (2015). Evaluating public transit benefits and costs. Victoria Transport Policy Institute. Retrieved from http://www.vtpi.org/tranben.pdf
   Google Scholar
• Malizia, E. (2014). Preferred office locations: Comparing location preferences and performance of office space in CBDs, suburban vibrant centers and suburban areas. NAIOP. Retrieved from http://www.naiop.org/preferredofficelocations
   Google Scholar
• Mamun, S. A., Lownes, N. E., Osleeb, J. P., & Bertolaccini, K. (2013). A method to define public transit opportunity space. Journal of Transport Geography, 28, 144–154. doi: 10.1016/j.jtrangeo.2012.12.007
   Web of Science ®Google Scholar
• Martin, W. A., & McGuckin, N. A. (1998). Travel estimation techniques for urban planning, Vol. 365. Washington, DC: National Academy Press.
   Google Scholar
• McLaren, D. (1992). Compact or dispersed? dilution is no solution. Built Environment, 18. Retrieved from http://search.proquest.com.libproxy.lib.unc.edu/docview/1292677151?accountid=14244
   Google Scholar
• Pennington-Cross, A., & Ho, G. (2010). The termination of subprime hybrid and fixed-rate mortgages. Real Estate Economics, 38, 399–426.
   Web of Science ®Google Scholar
• Pivo, G. (2014). Walk score: The significance of 8 and 80 for mortgage default risk in multifamily properties. Journal of Sustainable Real Estate, 6, 187–210.
   Google Scholar
• Quercia, R. G., & Spader, J. (2008). Does homeownership counseling affect the prepayment and default behavior of affordable mortgage borrowers? Journal of Policy Analysis and Management, 27, 304–325. doi: 10.1002/pam.2032610.1002/(ISSN)1520-6688
   Google Scholar
• Quercia, R. G., Pennington-Cross, A., & Tian, C. Y. (2012). Mortgage default and prepayment risks among moderate-and low-income households. Real Estate Economics, 40, S159–S98.
   Web of Science ®Google Scholar
• Ramsey, K., & Bell, A. (2014). Smart location database version 2.0 user guide. Environmental Protection Agency. Retrieved from http://www.epa.gov/smartgrowth/pdf/sld_userguide.pdf
   Google Scholar
• Rauterkus, S., Thrall, G., & Hangen, E. (2010). Location efficiency and mortgage default. The Journal of Sustainable Real Estate, 2, 117–141.
   Google Scholar
• Roback, J. (1982). Wages, rents, and the quality of life. Journal of Political Economy, 90, 1257–1278. doi: 10.1086/261120
   Web of Science ®Google Scholar
• Saelens, B. E., Sallis, J. F., & Frank, L. D. (2003). Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine, 25, 80–91. doi: 10.1207/S15324796ABM2502_03
   PubMed Web of Science ®Google Scholar
• Steg, L., & Gifford, R. (2005). Sustainable transportation and quality of life. Journal of Transport Geography, 13, 59–69. doi: 10.1016/j.jtrangeo.2004.11.003
   Google Scholar
• Transportation Research Board. (2009). Driving and the built environment: The effects of compact development on motorized travel, energy use, and CO2 emissions (Special Report 298) (p. 33PM). Washington, DC: National Academy of Sciences.
   Google Scholar
• Vandell, K. D. (1995). How ruthless is mortgage default? A review and synthesis of the evidence. Journal of Housing Research, 6, 245–264.
   Google Scholar