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Mathematical Problems in Engineering
Volume 2014, Article ID 167495, 9 pages
http://dx.doi.org/10.1155/2014/167495
Research Article

Multiobjective Optimization Model of Residential Spatial Distribution

1School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
3School of Science, Beijing Jiaotong University, Beijing 100044, China

Received 27 April 2014; Revised 19 June 2014; Accepted 19 June 2014; Published 7 July 2014

Academic Editor: Robertt A. Valente

Copyright © 2014 Xia Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Cervero, “Jobs-housing balancing and regional mobility,” Journal of the American Planning Association, vol. 55, no. 2, pp. 136–150, 1989. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Wachs, B. D. Taylor, N. Levine, and P. Ong, “The changing commute: a case-study of the jobs-housing relationship over time,” Urban Studies, vol. 30, no. 10, pp. 1711–1729, 1993. View at Publisher · View at Google Scholar · View at Scopus
  3. M. W. Horner and A. T. Murray, “A multi-objective approach to improving regional jobs-housing balance,” Regional Studies, vol. 37, no. 2, pp. 135–146, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Miller, “Impact of jobs-housing balance on average jurisdiction commuting times: virginia macroscopic analysis,” Transportation Research Record, no. 2244, pp. 18–26, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. P. Zhao, B. Lü, and G. D. Roo, “Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era,” Journal of Transport Geography, vol. 19, no. 1, pp. 59–69, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Sultana, “Job/housing imbalance and commuting time in the atlanta metropolitan area: exploration of causes of longer commuting time,” Urban Geography, vol. 23, no. 8, pp. 728–749, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Wang and Y. Chai, “The jobs-housing relationship and commuting in Beijing, China: the legacy of Danwei,” Journal of Transport Geography, vol. 17, no. 1, pp. 30–38, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. B. P. Y. Loo and A. S. Y. Chow, “Jobs-housing balance in an era of population decentralization: an analytical framework and a case study,” Journal of Transport Geography, vol. 19, no. 4, pp. 552–562, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Giuliano, “Is jobs-housing balance a transportation issue?” Transportation Research Record, no. 1305, pp. 305–312, 1991. View at Google Scholar
  10. S. Lobyaem, The Effectiveness of Jobs-Housing Balance as a Strategy for Reducing Traffic Congestion: A Study of Metropolitan Bangkok, Texas A&M University, 2006.
  11. Z. R. Peng, “The jobs-housing balance and urban commuting,” Urban Studies, vol. 34, no. 8, pp. 1215–1235, 1997. View at Publisher · View at Google Scholar · View at Scopus
  12. Q. Wu, Jobs-Housing Balance: The Right Ratio for the Right Place, The University of Texas at Austin, 2013.
  13. K. R. Ma and D. Banister, “Extended excess commuting: a measure of the jobs-housing imbalance in Seoul,” Urban Studies, vol. 43, no. 11, pp. 2099–2113, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. C. C. Layman and M. W. Horner, “Comparing methods for measuring excess commuting and jobs-housing balance: empirical analysis of land use changes,” Transportation Research Record, vol. 2174, no. 1, pp. 110–117, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. P. A. Waddell, “Accessibility and residential location: the interaction of workplace, housing tenure, residential mobiltity and location choice,” in Proceedings of the Lincoln Land Institute TRED Conference, 1996.
  16. I. A. Inoa, N. Picard, and A. de Palma, “Commuting time and accessibility in a joint residential location, workplace, and job type choice model,” in Proceedings of the Lausanne SustainCity Consortium Meeting, 2012.
  17. P. Waddell, “Exogenous workplace choice in residential location models: is the assumption valid?” Geographical Analysis, vol. 25, no. 1, pp. 65–82, 1993. View at Google Scholar · View at Scopus
  18. M. A. I. Rivera and N. C. C. Tiglao, “Modeling residential location choice, workplace location choice and mode choice of two-worker households in Metro Manila,” Eastern Asia Society for Transportation Studies, vol. 5, pp. 1167–1178, 2005. View at Google Scholar
  19. A. R. Pinjari, R. M. Pendyala, C. R. Bhat, and P. A. Waddell, “Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions,” Transportation, vol. 38, no. 6, pp. 933–958, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. Á. Ibeas, R. Cordera, L. Dell'Olio, and P. Coppola, “Modelling the spatial interactions between workplace and residential location,” Transportation Research A: Policy and Practice, vol. 49, pp. 110–122, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. J. E. Cho, D. Rodriguez, and Y. Song, “The role of employment subcenters in residential location decisions,” Journal of Transport and Land Use, vol. 1, no. 2, pp. 121–151, 2008. View at Google Scholar
  22. T. L. Saaty, What Is the Analytic Hierarchy Process?Springer, Berlin, Germany, 1988.
  23. T. L. Saaty, “How to make a decision: the analytic hierarchy process,” European Journal of Operational Research, vol. 48, no. 1, pp. 9–26, 1990. View at Google Scholar
  24. D. S. Faber and H. Korn, “Applicability of the coefficient of variation method for analyzing synaptic plasticity,” Biophysical Journal, vol. 60, no. 5, pp. 1288–1294, 1991. View at Publisher · View at Google Scholar · View at Scopus
  25. H. S. Gau, C. Y. Hsieh, and C. W. Liu, “Application of grey correlation method to evaluate potential groundwater recharge sites,” Stochastic Environmental Research and Risk Assessment, vol. 20, no. 6, pp. 407–421, 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. Z.-H. Zou, Y. Yun, and J.-N. Sun, “Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment,” Journal of Environmental Sciences, vol. 18, no. 5, pp. 1020–1023, 2006. View at Publisher · View at Google Scholar · View at Scopus