The effects of Seoul’s greenbelt on the spatial distribution of population and employment, and on the real estate market

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• 作者：Myung-Jin Jun (1)
  
• 关键词：R12 ; R14 ; R15
• 刊名：The Annals of Regional Science
• 出版年：2012
• 出版时间：December 2012
• 年：2012
• 卷：49
• 期：3
• 页码：619-642
• 全文大小：442KB
• 参考文献：1. Anas A (1994) METROSIM: a unified economic model of transportation and land use. Alex Anas & Associates, Williamsville
  2. Anas A (1995) Capitalization of urban travel improvements into residential and commercial real estate: simulations with a unified model of housing, travel mode and shopping choices. J Reg Sci 35(3): 351-75 CrossRef
  3. Anas A (1998) NYMTC transportation models and data initiative. The NYMTC Land Use Model Alex Anas & Associates, Williamsville
  4. Anas A, Rhee H-J (2006) Curbing excess sprawl with congestion tolls and urban boundaries. Reg Sci Urban Econ 36: 510-41 CrossRef
  5. Bae C-H, Jun MJ (2003) Counterfactual planning: what if there had been no greenbelt in Seoul?. J Plann Edu Res 22: 374-83 CrossRef
  6. Bengston DN, Youn YC (2006) Urban containment policies and the protection of natural areas: the case of Seoul’s greenbelt. Ecol Soc 11(1): 1-5
  7. Choi MJ (1993) Spatial and temporal variations in land values: a descriptive and behavioral analysis of the Seoul Metropolitan Area (1956-989). Dissertation. Harvard University, Cambridge, Massachusetts, USA
  8. Choi MJ (1994) An empirical analysis of the impacts of greenbelt on land prices in the Seoul Metropolitan Area. J Korean Plann Assoc 29(2):97-11 (in Korean)
  9. De la Barra T (1989) Integrated land use and transport modeling. Cambridge University Press, Cambridge CrossRef
  10. Farber S, Maoh H, Kanaroglou P (2009) The impacts of urban growth policies on transportation system usage and performance: a simulation approach. Can J Transp 3(1): 1-5
  11. Graham D, Gibbons S, Martin R (2009) Transport investment and the distance decay of agglomeration benefits (available at http://personal.lse.ac.uk/gibbons/Papers/202009.pdf)
  12. Han S (1997) Measuring the social cost of green belt zoning. Research Report 1997-03-19, Korea Economic Research Institute, Seoul, Republic of Korea
  13. Hannah L, Kim KH, Mills ES (1993) Land use controls and housing prices in Korea. Urban Stud 30(1): 147-56 CrossRef
  14. Hunt JD, Echenique MH (1993) Experiences in the application of the MEPLAN framework for land use and transport interaction modelling. In: Proceedings of the 4th national planning method application conference. Daytona Beach, Florida
  15. Hunter JD, Kriger DS, Miller EJ (2005) Current operational urban land-use-transport modeling frameworks: a review. Transp Rev 25(3): 329-76 CrossRef
  16. Jin YH, Park JG (2000) The reform of green belt policy: Korean experiences. In: Papers and proceedings of the international workshop on urban growth management policies of Korea, Japan, and the USA. Korean Regional Science Association and the Korea Research Institute for Human Settlements, Seoul National University, Seoul, Republic of Korea, pp 125-39
  17. Jun MJ, Bae C (2000) Estimating the commuting costs of Seoul’s greenbelt. Int Reg Sci Rev 23(3): 300-15 CrossRef
  18. Jun MJ, Hur JW (2001) Commuting costs of “leap-frog-new town development in Seoul. Cities 18(3): 151-58 CrossRef
  19. Jun MJ (2004) A metropolitan input-output model: multisectoral and multispatial relations of production, income formation, and consumption. Ann Reg Sci 38: 131-47 CrossRef
  20. Jun MJ (2005) Forecasting urban land use demand using a metropolitan input-output model. Environ Plann A 37: 1311-328 CrossRef
  21. Jun MJ (2009) The economic effects of Seoul’s job decentralization: a metropolitan input-output analysis. J Reg Sci 49(2): 311-27 CrossRef
  22. Jun MJ (2011) The economic costs and transportation benefits of Seoul’s industrial land use controls. Urban Stud (forthcoming)
  23. Kim KH (1993) Housing prices, affordability, and government policy in Korea. J Real Estate Finance Econ 6: 55-1 CrossRef
  24. Landis JD (1994) The california urban futures model: a new generation of metropolitan simulation models. Environ Plann B 21: 399-20 CrossRef
  25. Lee CM (1999) An intertemporal efficiency test of a greenbelt: assessing the economic impacts of Seoul’s greenbelt. J Plann Edu Res 19(1): 41-2 CrossRef
  26. Lee CM, Fujita M (1997) Efficient configuration of a greenbelt: theoretical modeling of greenbelt amenity. Environ Plann A 29(11): 1999-017 CrossRef
  27. Lee CM, Linneman P (1998) Dynamics of the greenbelt amenity effect on the land market: the case of Seoul’s greenbelt. Real Estate Econ 26(1): 107-29 CrossRef
  28. Martínez FJ (1996) MUSSA: a land use model for Santiago City. Transp Res Record 1552: 126-34 CrossRef
  29. Martínez FJ (2000) Towards a land use and transport interaction framework. In: Hensher D, Button K (eds) Handbooks in transport—handbook 1: transport modeling. Elsevier, The Hague, pp 154-64
  30. Martínez FJ, Donoso PP (1995) MUSSA Model: the theoretical framework. In: Proceedings of the 7th world conference on transportation research, vol 2. Sydney, Australia, July, pp 333-43
  31. Putman SH (1983) Integrated urban models: policy analysis of transportation and land use. Pion Limited, London, England
  32. Putman SH (1991) Integrated urban models 2. Pion Limited, London England
  33. Ruiz-Juri N, Kockelman KM (2006) Evaluation of the trans-texas corridor proposal: application and enhancements of the random-utility-based multiregional input–output model. J Transp Eng 132(7): 531-39 CrossRef
  34. Ruiz-Juri N, Kockelman KM (2004) Extending the random-utility-based multiregional input-output model: incorporating land-use constraints, domestic demand and network congestion in a model of texas. In: Proceedings of the 83rd annual meeting of transportation research board. Washington, D.C
  35. Son JY, Kim KH (1998) Analysis of urban land shortages: the case of Korean cities. J Urban Econ 43(3): 362-84 CrossRef
  36. US EPA (2000) Projecting land-use change: a summary of models for assessing the effects of community growth and change on land-use patterns. EPA/600/R-00/098. U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH
  37. Waddell P (2002) UrbanSim: modeling urban development for land use, transportation and environmental planning. J Am Plann Assoc 68(3): 297-14 CrossRef
  38. Wegener M (1994) Operational urban models: state of the art. J Am Plann Assoc 60(1): 17-9 CrossRef
  39. Wegener M (2004) Overview of land-use transport models. In: Hensher DA, Button K (eds) Transport geography and spatial systems. Pergamon/Elsevier Science, Kidlington, UK, pp 127-46
  40. Zhao Y, Kockelman KM (2004) The random-utility-based multiregional input-output model: solution existence and uniqueness. Transp Res-B 38(9): 789-07 CrossRef
  
• 作者单位：Myung-Jin Jun (1)
  
  1. Department of Urban and Regional Planning, Chung-Ang University, Seoul, Korea
  
• ISSN：1432-0592

文摘

This paper examines the effects of Seoul’s greenbelt on the distribution of population and employment, and on the real estate market, under the assumption of the complete relaxation of the greenbelt using the random utility-based metropolitan input–output model with an endogenous land market for the Seoul metropolitan area. Simulation results show two important consequences of the greenbelt release. First, the greenbelt release would attract more residents and jobs into greenbelt zones and reduce the population and number of firms in both the central city and outer sides of the greenbelt, thereby implying the reduction of inner city densification and of development beyond the greenbelt. Second, both residential and nonresidential space rents would have declined for the whole metropolitan area from 0.4 to 13.7% had the greenbelt been completely released in 2006, thereby indicating that Seoul’s greenbelt made a contribution to raising space rents by limiting land supply.