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An empirical assessment of factors affecting the accuracy of target-year synthetic populations

Listed author(s):
  • Ma, Lu
  • Srinivasan, Sivaramakrishnan
Registered author(s):

    This study contributes by presenting an empirical assessment of the accuracy of the target-year populations synthesized with different base-year populations, data-fusion methods, and control tables. Forty-five synthetic populations were generated for 12 census tracts in Florida for this purpose. The empirical results indicate the value of synthesizing base-year populations more accurately by accommodating multi-level controls. Although fewer controls are typically available for target years, the use of multi-level controls in the target year with appropriate synthesis methods does benefit the accuracy of the synthetic population. This study also establishes that the magnitude of the overall error in the synthesized population appears to be linearly related to the magnitude of the input errors introduced via the control tables. The improvements in accuracy are statistically significant and hold after controlling for differences in population sizes and growth rates for the different census tracts. Overall, efforts to accurately synthesize base-year populations and to good forecasts of target-year controls can help synthesize accurate target-year populations.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416000252
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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 85 (2016)
    Issue (Month): C ()
    Pages: 247-264

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    Handle: RePEc:eee:transa:v:85:y:2016:i:c:p:247-264
    DOI: 10.1016/j.tra.2016.01.016
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    1. Stefan Rayer & Stanley Smith, 2014. "Population Projections by Age for Florida and its Counties: Assessing Accuracy and the Impact of Adjustments," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(5), pages 747-770, October.
    2. Peter Goodings Swartz & P Christopher Zegras, 2013. "Strategically robust urban planning? A demonstration of concept," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 40(5), pages 829-845, September.
    3. David Pritchard & Eric Miller, 2012. "Advances in population synthesis: fitting many attributes per agent and fitting to household and person margins simultaneously," Transportation, Springer, vol. 39(3), pages 685-704, May.
    4. Keith Bartholomew, 2007. "Land use-transportation scenario planning: promise and reality," Transportation, Springer, vol. 34(4), pages 397-412, July.
    5. Rich, Jeppe & Mulalic, Ismir, 2012. "Generating synthetic baseline populations from register data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 467-479.
    6. Kirill Mueller & Kay W. Axhausen, 2011. "Hierarchical IPF: Generating a synthetic population for Switzerland," ERSA conference papers ersa11p305, European Regional Science Association.
    7. P Williamson & M Birkin & P H Rees, 1998. "The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records," Environment and Planning A, , vol. 30(5), pages 785-816, May.
    8. Stanley Smith & Jeff Tayman, 2003. "An evaluation of population projections by age," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 741-757, November.
    9. Stefan Rayer, 2007. "Population forecast accuracy: does the choice of summary measure of error matter?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(2), pages 163-184, April.
    10. P Williamson & M Birkin & P H Rees, 1998. "The estimation of population microdata by using data from small area statistics and samples of anonymised records," Environment and Planning A, Pion Ltd, London, vol. 30(5), pages 785-816, May.
    11. Alsnih, Rahaf & Hensher, David A., 2003. "The mobility and accessibility expectations of seniors in an aging population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 903-916, December.
    12. Kirk Harland & Alison Heppenstall & Dianna Smith & Mark Birkin, 2012. "Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-1.
    13. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
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