An Analysis of the Commuting and Jobs–Housing Patterns of Older Adult Workers

Literature Cited

• Abowd, J., and J. Lane. 2004. New approaches to confidentiality protection: Synthetic data, remote access and research data centers. In Privacy in statistical databases, ed. J. Domingo-Ferrer and V. Torra, 282–89. Berlin: Springer.
   Google Scholar
• Abowd, J., B. Stephens, L. Vilhuber, F. Andersson, K. McKinny, M. Roemer, and S. Woodcock. 2005. The LEHD infrastructure files and the creation of the quarterly workforce indicators. Longitudinal employer-household dynamics technical papers. Washington, DC: Center for Economic Studies, U.S. Census Bureau. http://lehd.ces.census.gov/doc/technical_paper/tp-2006-01.pdf (last accessed 15 June 2015).
   Google Scholar
• Abowd, J. M., and L. Vilhuber. 2005. The sensitivity of economic statistics to coding rrrors in personal identifiers. Journal of Business & Economic Statistics 23:133–52.
   Web of Science ®Google Scholar
• Administration on Aging (AoA). 2014. Aging statistics. Washington, DC: U.S. Department of Health and Human Services, Administration for Community Living. http://www.aoa.acl.gov/Aging_Statistics/index.aspx (last accessed 15 June 2015).
   Google Scholar
• Alsnih, R., and D. A. Hensher. 2003. The mobility and accessibility expectations of seniors in an aging population. Transportation Research Part A: Policy and Practice 37:903–16.
   Web of Science ®Google Scholar
• Åslund, O., J. Östh, and Y. Zenou. 2010. How important is access to jobs? Old question—Improved answer. Journal of Economic Geography 10:389–422.
   Web of Science ®Google Scholar
• Baker, P. S., E. V. Bodner, and R. M. Allman. 2003. Measuring life‐space mobility in community‐dwelling older adults. Journal of the American Geriatrics Society 51:1610–14.
   PubMed Web of Science ®Google Scholar
• Cervero, R. 1989. Jobs–housing balancing and regional mobility. Journal of the American Planning Association 55:136–50.
   Web of Science ®Google Scholar
• Charron, M. 2007. From excess commuting to commuting possibilities: More extension to the concept of excess commuting. Environment and Planning A 39:1238–54.
   Web of Science ®Google Scholar
• Dendinger, V. M., G. A. Adams, and J. D. Jacobson. 2005. Reasons for working and their relationship to retirement attitudes, job satisfaction and occupational self-efficacy of bridge employees. The International Journal of Aging and Human Development 61:21–35.
   PubMed Web of Science ®Google Scholar
• Ewing, R., and R. Cervero. 2010. Travel and the built environment: A meta-analysis. Journal of the American Planning Association 76:265–94.
   Web of Science ®Google Scholar
• Frost, M., B. Linneker, and N. Spence. 1998. Excess or wasteful commuting in a selection of British cities. Transportation Research Part A: Policy and Practice 32:529–38.
   Web of Science ®Google Scholar
• Gendell, M. 2008. Older workers: Increasing their labor force participation and hours of work. Monthly Labor Review 131:41.
   Web of Science ®Google Scholar
• Giuliano, G., and K. A. Small. 1993. Is the journey to work explained by urban structure. Urban Studies 30:1485–500.
   Web of Science ®Google Scholar
• Hamilton, B. W. 1982. Wasteful commuting. Journal of Political Economy 90:1035–53.
   Web of Science ®Google Scholar
• ———. 1989. Wasteful commuting again. Journal of Political Economy 97:1497–504.
   Web of Science ®Google Scholar
• Hanson, S., and G. Pratt. 1988. Reconceptualizing the links between home and work in urban-geography. Economic Geography 64:299–321.
   Web of Science ®Google Scholar
• Hess, D. B. 2005. Access to employment for adults in poverty in the Buffalo–Niagara region. Urban Studies 42:1177–1200.
   Web of Science ®Google Scholar
• Horner, M. W. 2002. Extensions to the concept of excess commuting. Environment and Planning A 34:543–66.
   Web of Science ®Google Scholar
• ———. 2004. Spatial dimensions of urban commuting: A review of major issues and their implications for future geographic research. The Professional Geographer 56 (2): 160–73.
   Web of Science ®Google Scholar
• ———. 2007. A multi-scale analysis of urban form and commuting change in a small metropolitan area (1990–2000). Annals of Regional Science 41:315–32.
   Web of Science ®Google Scholar
• ———. 2008. “Optimal” accessibility landscapes? Development of a new methodology for simulating and assessing jobs–housing relationships in urban regions. Urban Studies 45:1583–602.
   Web of Science ®Google Scholar
• Horner, M. W., and J. N. Mefford. 2007. Investigating urban spatial mismatch using job–housing indicators to model home–work separation. Environment and Planning A 39:1420–40.
   Web of Science ®Google Scholar
• Horner, M. W., and D. Schleith. 2012. Analyzing temporal changes in land-use transportation relationships: A LEHD-based approach. Applied Geography 35:491–98.
   Web of Science ®Google Scholar
• Hunt, M. E., and G. Gunter-Hunt. 1986. Naturally occurring retirement communities. Journal of Housing for the Elderly 3:3–22.
   Google Scholar
• Jang, W., and X. Yao. 2013. Tracking ethnically divided commuting patterns over time: A case study of Atlanta. The Professional Geographer 66:274–83.
   Web of Science ®Google Scholar
• Johnston-Anumonwo, I. 1997. Race, gender, and constrained work trips in Buffalo, NY, 1990. The Professional Geographer 49:306–17.
   Web of Science ®Google Scholar
• Kim, C., S. Sang, Y. Chun, and W. Lee. 2012. Exploring urban commuting imbalance by jobs and gender. Applied Geography 32:532–45.
   Web of Science ®Google Scholar
• Kim, S., and D. C. Feldman. 2000. Working in retirement: The antecedents of bridge employment and its consequences for quality of life in retirement. Academy of Management Journal 43:1195–210.
   Web of Science ®Google Scholar
• Kim, T.-K., M. W. Horner, and R. W. Marans. 2005. Life cycle and environmental factors in selecting residential and job locations. Housing Studies 20:457.
   Web of Science ®Google Scholar
• Kwan, M. P. 1999. Gender and individual access to urban opportunities: A study using space-time measures. The Professional Geographer 51:210–27.
   Web of Science ®Google Scholar
• Layman, C. C., and M. W. Horner. 2010. Comparing methods for measuring excess commuting and jobs–housing balance empirical analysis of land use changes. Transportation Research Record 2174:110–17.
   Web of Science ®Google Scholar
• Loo, B. P. Y., and A. S. Y. Chow. 2011. Jobs–housing balance in an era of population decentralization: An analytical framework and a case study. Journal of Transport Geography 19:552–62.
   Web of Science ®Google Scholar
• Ma, K. R., and D. Banister. 2006. Excess commuting: A critical review. Transport Reviews 26:749–67.
   Web of Science ®Google Scholar
• ———. 2007. Urban spatial change and excess commuting. Environment and Planning A 39:630–46.
   Web of Science ®Google Scholar
• Murphy, E. 2009. Excess commuting and modal choice. Transportation Research Part A: Policy and Practice 43:735–43.
   Web of Science ®Google Scholar
• ———. 2012. Urban spatial location advantage: The dual of the transportation problem and its implications for land-use and transport planning. Transportation Research Part A: Policy and Practice 46:91.
   Web of Science ®Google Scholar
• Murphy, E., and J. E. Killen. 2011. Commuting economy: An alternative approach for assessing regional commuting efficiency. Urban Studies 48:1255–72.
   Web of Science ®Google Scholar
• Newbold, K. B., D. M. Scott, J. E. Spinney, P. Kanaroglou, and A. Páez. 2005. Travel behavior within Canada's older population: A cohort analysis. Journal of Transport Geography 13:340–51.
   Google Scholar
• Niedzielski, M. A. 2006. A spatially disaggregated approach to commuting efficiency. Urban Studies 43:2485–502.
   Web of Science ®Google Scholar
• Niedzielski, M. A., M. W. Horner, and N. Xiao. 2013. Analyzing scale independence in jobs–housing and commute efficiency metrics. Transportation Research Part A: Policy and Practice 58:129–43.
   Web of Science ®Google Scholar
• O'Kelly, M. E., and W. Lee. 2005. Disaggregate journey-to-work data: Implications for excess commuting and jobs–housing balance. Environment and Planning A 37:2233–52.
   Web of Science ®Google Scholar
• O'Neill, D., and B. Dobbs. 2004. Age-related disease, mobility, and driving. In Transportation in an aging society: A decade of experience. Technical papers and reports from a conference, November 7–9 1999, Bethesda, Maryland, 56–66. http://onlinepubs.trb.org/onlinepubs/conf/reports/cp_27.pdf (last accessed 15 June 2015).
   Google Scholar
• Paez, A., D. Scott, D. Potoglou, P. Kanaroglou, and K. B. Newbold. 2007. Elderly mobility: Demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Studies 44:123–46.
   Web of Science ®Google Scholar
• Parker, M., P. S. Baker, and R. M. Allman. 2002. A life-space approach to functional assessment of mobility in the elderly. Journal of Gerontological Social Work 35:35–55.
   Google Scholar
• Popescu, M. L., H. Boisjoly, H. Schmaltz, M.-J. Kergoat, J. Rousseau, S. Moghadaszadeh, F. Djafari, and E. E. Freeman. 2011. Age-related eye disease and mobility limitations in older adults. Investigative Ophthalmology & Visual Science 52:7168–74.
   PubMed Web of Science ®Google Scholar
• Rowe, J. W., and R. L. Kahn. 1997. Successful aging. The Gerontologist 37:433–40.
   PubMed Web of Science ®Google Scholar
• Schleith, D., and M. W. Horner. 2014. Commuting, job clusters, and travel burdens: Analysis of spatially and socioeconomically disaggregate longitudinal employer-household dynamic data. Transportation Research Record: Journal of the Transportation Research Board 2452:19–27.
   Web of Science ®Google Scholar
• Spear, B. 2011. Improving employment data for transportation planning. Cambridge, MA: Cambridge Systematics.
   Google Scholar
• Sultana, S. 2005. Racial variations in males' commuting times in Atlanta: What does the evidence suggest? The Professional Geographer 57:66–82.
   Web of Science ®Google Scholar
• Suzuki, T., and S. Lee. 2012. Jobs–housing imbalance, spatial correlation, and excess commuting. Transportation Research Part A: Policy and Practice 46:322–36.
   Web of Science ®Google Scholar
• Taylor, P., R. Fry, D. Cohn, G. Livingston, R. Kochhar, S. Motel, and W. Patten. 2011. The old prosper relative to the young: The rising age gap in economic well-being. Pew Social & Demographic Trends. Washington, DC: Pew Research Center. http://www.pewsocialtrends.org/files/2011/11/WealthReportFINAL.pdf (last accessed 15 June 2015).
   Google Scholar
• U.S. Census Bureau, U.S. Department of Commerce. n.d. American factfinder. http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml (last accessed 15 June 2015).
   Google Scholar
• Werner, C. A. 2011. The older population: 2010. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, U.S. Census Bureau.
   Google Scholar
• White, M. J. 1988. Urban commuting journeys are not wasteful. Journal of Political Economy 96:1097–110.
   Web of Science ®Google Scholar
• Yang, J. W. 2008. Policy implications of excess commuting: Examining the impacts of changes in US metropolitan spatial structure. Urban Studies 45 (2): 391–405.
   Google Scholar
• Yang, J. W., and J. Ferreira. 2008. Choices versus choice sets: A commuting spectrum method for representing job–housing possibilities. Environment and Planning B: Planning & Design 35:364–78.
   Web of Science ®Google Scholar