연구동향 분석
박사

용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 : 용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 = A Geographically Weighted Regression Analsis on the Effect of Use Zoning on the Residential

강순덕 2018년

논문상세정보
인용/피인용
' 용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 : 용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 = A Geographically Weighted Regression Analsis on the Effect of Use Zoning on the Residential' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Geographically Weighted Regression
  • Korean Real Estate Market
  • Residential Land Price
  • Use Zoning
  • 용도지역
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
57 0

0.0%

' 용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 : 용도지역이 주거용 나대지 가격에 미치는 영향에 대한 공간가중회귀분석 = A Geographically Weighted Regression Analsis on the Effect of Use Zoning on the Residential' 의 참고문헌

  • 허식, 서울시 주거용지 가격의 분위회귀분석
    이성원 산업경제연구, 제 24권 제2호, 591-612 [2011]
  • 토지이용 접근성과 중심성의 토지가격 효과 연구- 서울시를 사례 로
    강창덕 서울도시 연구, 제15권 제3호, 19-40 [2014]
  • 지가평가모형의 개발
    유완(Yu Wann) 조응래(Cho Eung-Rae) 국토계획 제25권 제1호, 9-20 [1990]
  • 지가의 공간적 변동에 따른 입지지대의 분석에 관한 연구 - 공간적 자기상관을 고려한 방법론을 중심으로
    서경천 이성호 국토계획, 제36권 제1 호, 55-71 [2001]
  • 제주 올레길이 인근 토지 가격 상승률에 미친 영향에 관 한 연구: 제주 올레7코스를 대상으로
    이동원 정수연 부동산연구, 제24권 제1호, 63-76 [2014]
  • 접근성과 용도지역 지정이 토지가격에 미치는 영향-천안지역에 대한 실증분석을 중심으로
    이순배 한국동서경제연구, 제17권 제2호, 59-77 [2006]
  • 입지유형을 고려한 산업용지의 가격형성요인 분 석
    권지숙 심재헌 이성호 한국지역개발학회지, 제23권 제1호, 165-184 [2011]
  • 신토지공법론
    석종현 경진사 [1994]
  • 부산시 도심일대의 지가형성요인분석에 관한 연구
    안혜진 도시연구보, 제12집, 1-11 [2002]
  • 공간계량경제 접근방법을 이용한 농지가격추정 에 관한 연구
    박헌수 송용철 국토연구, 제72권, 121-140 [2012]
  • “토지 실거래가격 결정요인에 관한 연구- 충남 당진을 중심으로”
    김선주 김재태 김효곤 「주거 환경」, 제10권 제2호, 2012, 33-47 [2012]
  • Yang, H.J. J. Song and M.J. Choi(2016), Measuring the externality effects of commercial land use on residential land value: A case study of Seoul, Sustainability (Switzerland), 8 (5), art. no. 432 .
  • Worboys M. F. K. Mason and J. Lingham(1998), Computational Techniques for non-euclidean planar spacial data applied to migrant flows. In Innovations in Geographical Information Systems 5, Ed. C. Carver 35-45. London: Taylor and Francis.
  • Wen, H. and AC Goodman(2013), Relationship between urban land price and housing price: evidence from 21 provincial capitals in China, Habitat International, 40, 9-17.
  • Stevenson, F. and A. Leaman(2010), Evaluating housing performance in relation to human behaviour: new challenges, Building Research & Information, 38(5), 437-441.
  • Spalatro, F. and B. Provencher(2001), An analysis of minimum frontage zoning to preserve lakefront amenities, Land Economics, 77(4), 469-481.
  • Sole-Olle, A and E. Viladecans-Marsal(2011), Lobbing, political competition, and local land supply: recent evidence from Spain, Journal of Public Economics, 96, 10-19.
  • Sirmans, C. F. Turnbull G.K. and J. Dombrow(1997), Residential development, risk, and land prices, Journal of Regional Science, 37(4), 613-628.
  • Shim, J. H. and C. I. Kim,(2016), A hedonic price analysis of industrial land prices: A case study of Southeastern Industrial Region in South Korea, Information (Japan), 19 (10A), 4379-4385.
  • Sheng, J. X. Han and H. Zhou (2017), Spatially varying patterns of afforestation / reforestation and socio-economic factors in China: a geographically weighted regression approach, Journal of Clean Production, 153, 362-371.
  • Rosenthal, S. S. and R. W. Helsey(1994), Redevelopment and the urban land price gradient, Journal of Urban Economics, 35, 182-200.
  • Ready, R.C. and C. W. Abdalla(2005), The amenity and disamenity impacts of agriculture: estimates from a hedonic pricing model, American Journal of Agricultural Economics, 87(2), 314-326.
  • Quigley, J.M. and L.A. Rosenthal(2005), The effects of land use regulation on the price of housing: What do we know? What can we learn?, Cityscape, 8(1), 69-137.
  • Quigley, J.M. and A.M. Swoboda(2007), The urban impacts of the Endangered Species Act: a general equilibrium analysis, Journal of Urban Economics, 61, 299-318.
  • Phillips, J. and E. Goodstein(2000), Growth management and housing prices: the case of Portland, Oregon, Contemporary Economics Policy, 18(3), 334-344.
  • Perdomo, J.A.(2011), A methodological proposal to estimate changes of residential property value: Case study developed in Bogot , Applied Economics Letters, 18 (16), 1577-1581.
  • Peng, R. and WC Wheaton(1994), Effects of restrictive land supply on housing in Hong Kong: an econometric analysis, Journal of Housing Research, 5, 263-291.
  • Peiser, R.B.(1987), The determinants of nonresidential urban land values, Journal of Urban Economics, 22(3), 340-360.
  • Ong, S.E. T.F Sing and L.C. Malone-Lee(2004), Strategic considerations in land use planning: The case of white sites in Singapore, Journal of Property Research, 21(3), 235-253.
  • Ohls, J.C. R.C. Weisberg and M.J. White(1974), The effects of zoning on land value, Journal of Urban Economics, 1(4), 428-444.
  • Netusil, N.R.(2005), The effect of environmental zoning and amenities on property values: Portland, Oregon, Land Economics, 81(2), 227-246.
  • Mulley, C.(2014), Accessibility and residential land value uplift: identifying spatial variations in the accessibility impacts of a bus transitway, Urban Studies, 51(8), 1707-1724.
  • Montello D. R.(1992), The geometry of Environmental knowledge. In theories and methods of spatio-temporal reasoning in geographic space, Ed. A. U. Frank, I. Campari and U. Formentini, 136-52. Berlin: Springer-Verlag Lecture Notes in Computer Science #639.
  • Mohring, H.(1961), Land values and the measurement for highway benefits, Journal of Political Economy, June, 236-249.
  • Miller, H.J.(2004), Tobler’s first las and spatial analysis, Annals of the Association of American Geographers, 94(2), 284-289.
  • Miller, H.J. and E.A. Wentz(2003), Representation and spatial analysis in geographic information systems, Annals of the Association of American Geographers, 93(3), 574-594.
  • Mennis J.(2006), Mapping the results of geographically weighted regression. The Cartographic Journal, 43, 171-179.
  • Mechenzie, D.J. and R.M. Betts(2006), Essentials of Real Estate Economics, Thomson South-Western.
  • Mckenzie, D.J. and R.M. Betts(2006), Essentials of Real Estate Economics, Thomson.
  • McMillen, D.P. and J.F. McDonald(2002), Land values in a newly zoned city, Review of Economics and Statistics, 84(1), 62-72.
  • Mattews, J.W. and G.K. Turnbull(2007), Neighborhood street layout and property value: the interaction of accessibility and land use mix, Journal of Real Estate Finance and Economics, 35(2), 111-141.
  • Manganelli, B. P. Pontrandolfi, A. Azzato, and B. Murgante(2014), Using geographically weighted regression for housing market segmentation, International Journal of Business Intelligence and Data Mining, 139(2), 161-177.
  • Love R. F. J. G. Morris and G. O. Wesolowsky(1988), Facility Location: Models and methods . New York: North Holland.
  • Larson, W.(2015), New estimates of value of land of the Unites States, Bureau of Economic Analysis, April 3, 2015
  • Kowalski, J. G. and C.C. Paraskevopoulos(1990), The impact of location on urban industrial land prices, Journal of Urban Economics, 27(1), 16-24.
  • Kostov, P.(2009), A spatial quantile regression hedonic model of agricultural land prices, Spatial Economic Analysis, 4(1), 53-72.
  • Kok, N. P. Monkkonen and J.M. Quigley(2014), Land use regulations and the value of land and housing: An intra-metropolitan analysis, Journal of Urban Economics, 81, 136-148.
  • Knapp, G.J.(1985), The price effects of urban growth boundaries in metropolitan Portland Oregon, Land Economics, 61(1), 26-35.
  • Kawalski, J.G. and C.C. Paraskevopoulos(1990), The impact of location on urban industrial land prices, Journal of Urban Economics, 27, 16-24.
  • Kaufman, J. S. Hovde, and S. Tan(2015), Land use regulation, Urban Land Economics, 77-80.
  • Kanaroglou P. S. and M. R. Ferguson(1996), Discrete spatial choice model for aggregate destinations. Journal of Regional Science, 36, 271-90.
  • Jaeger, W.K. A.J. Plantingga and C. Groutb(2012), How has Oregon’s land use planning system affected property value?, Land Use Policy, 29, 62-72.
  • Irwin, E.G. and N.E. Backstael(2001), The problem of identifying land use spillovers: measuring the effects of open spaces on residential property values, American Journal of Agricultural Economics, 83, 698-704.
  • Ihlanfeldt, K.R.(2007), The effect of land use regulation on housing and land prices, Journal of Urban Economics, 61, 420-435.
  • Huriot J. M., T. E. Smith and J. F. Thisse(1989), Minimum-cost distances in spatial analysis. Geographical Analysis, 21, 294-315.
  • Hodge, G.(2014), Planning Canadian Communities, Toronto, Thomson.
  • Hilber, C.A.L. and F. Robert-Nicoud(2013), On the origins of land use regulations: theory and evidence from US metro areas, Journal of Urban Economics, 75, 29-43.
  • Helsley,R.W. and W.C. Strange(1995), Strategic growth controls, Regional Science and Urban Economics, 25, 435-460.
  • Harvey, J. and E. Jowsey(2003), Urban land economics, Palgrave.
  • Guttenberg, A.(2002), Multidimensional land use classification and how it evolved: reflections on a methodological innovation in urban planning, Journal of Planning History, 1(4), 311-324.
  • Gurran, N.(2011), Australian urban land use planning: Principles, systems and practice (2nd ed,), Sydney, Sydney University Press.
  • Goodwin, B.K. A.K. Mishira, F.N. Ortalo-Magne(2003), What’s wrong with our models of agricultural land values? agricultural land values, government payments, and production, American Journal of Agricultural Economics, 85(3), 744-752.
  • Glaeser, E.L. and J. Gyourko(2003), The impact of building restrictions on housing affordability, Federal Reserve Bank of New York Economic Policy Review, 9, 21-39.
  • Glaeser, E.L. and B.A. Ward(2009), The causes and consequences of land use regulation: evidence from Greater Boston, Journal of Urban Economics, 65, 265-278.
  • Gill, S.E., J.F. Handley, A,R, Ennos, S. Pauleit, N. Theuray and S.J. Lindley(2008), Characterizing the urban environment of UK cities and towns: a template for landscape planning, Landscape and Urban Planning, 87, 2010-2022.
  • Getis A.(1991), Spatial Interaction and spatial autocorrelation: a cross-product approach. Environment and planning A, 23, 1269-77.
  • Getis A. and J. K. Ord(1992), The analysis of spacial association by use of distance statistics. Geographical Analysis 24, 189-206.
  • Geoghgan, J.(2003), Capitalization of open spaces into housing value and the residential property tax revenue impacts of agricultural easement programs, Agricultural and Resource Economic Review, 32(1), 33-45.
  • Gatrell A. C.(1983), Distance and Space: A geographical perspective. Oxford: Clarendon Press.
  • Fotheringham A. S., C. Brunsdon and M. E. Charlton(2002), Geographically weighted regression: the analysis of spatially varying relationship. Wiley, Chichester.
  • Fotheringham A. S. Ferguson(1983), A new set of spatial interaction models: The theory of competing destinations. Environment and Planning A, 15, 15-36.
  • Fischel, W.A.(2004), An economic history of zoning and a cure for its exclusionary effects, Urban Studies, 41(2), 317-340.
  • Evans, AW(1987), House Prices and Land Prices in the South East: A Review, House-Builders' Federation.
  • Earnhart, D(2006), Using contingent-pricing analysis to value open space and its duration at residential locations, Land Economics, 82(1), 17-35.
  • Dyer, R.F. and D.P. McMillen(2007), Teardowns and land value in the Chicago metropolitan area, Journal of Urban Economics, 61, 45-63.
  • Dougherty M(1995), A review of neural networks applied to transport. Transportation Research C, 3, 247-60.
  • Diplock G and S. Openshaw(1996), Using simple genetic algorithms to calibrate spatial interaction models. Geographical Analysis 28, 262-79.
  • Davis, M.A. and J. Heathcote(2007), The price and quantity of residential land in the United States, Journal of Urban Economics, 54, 2595-2620.
  • Cliff, A. D. and P. Haggett(1989), On complex geographic space: Computing frameworks for spacial diffusion processes. In geocomputation: A primer, Ed. P. A. Longley, S. M. Brooks, R. McDonnell and B. MacMillan, 231-56. New York: John Wiley and Sons.
  • Chen, M., W. Liu and D. Lu (2016), Challenges and the way forward in China’s new-type urbanization, Land Use Policy, 55, 334-339.
  • Casti J. L.(1990), Searching for certainty: what scientists can know about the future. New York: William Marrow.
  • Brunsdon C. A. S. Fotheringham and M. E. Charlton(1996) ,Geographically weighted regression: a method for exploring non-stationarity. Geographical Analysis 28, 281-98.
  • Brigham, E.F.(1965), The determinants of residential land values, Land Economics, 41, 325-334.
  • Brandt, S. and W. Maennig(2011), Road noise exposure and residential property prices: evidence from hamburg, Transportation Research Part D, 16, 23-30.
  • Bowman, A.W. (1984), An alternative method of cross-validation for the smoothing of density estimates, Biometika, 71(2), 353-360.
  • Boamah, N.A.(2013), Land use controls and residential land values in the Offinso South municipality, Ghana, Land Use Policy, 33, 111-117.
  • Biyand R. and D. Yu(2011), Package spgwr’.http://cran.r-project.org/web/pachages/spgwr/spgwr.pdf. Accessed 6 July 2011.
  • Bhat, C. A. Govindarajan and V. Pulugurta(1998), Disaggregate attraction-end choice modeling: formulation and empirical analysis, Transportation Research Record, 1645, 60-68.
  • Beguin H. and J. F. Thisse(1979), An axiomatic approach to geographical space. Geographical Analysis 11, 325-41.
  • Beaton, W.P.(1991), The impact of regional land-use controls on property values: the case of the New Jersey pinelands, Land Economics, 67(2), 172-194.
  • Beaton, W.P. and M. Poliock(1992), Economic impact of growth management policies surrounding the Chesapeake Bay, Land Economics, 68(4), 434-453.
  • Asabere, P.K.(1990), Sirmans,Turnbull and Dombrow,(1997) The value of a neighborhood street with reference to the cul-de-sac, Journal of Real Estate Finance and Economics, 3(2), 185-193.
  • Anselin L.(1995), Local indicators of spacial association-LISA. Geographical Analysis 27, 93-115.
  • Angel, L. and G. M. Hayman(1976), Urban Fields: A Geometry of Movement for Regional Science. London: Pion.
  • Andersen, J.R. E.E. Hardy. J.T. Roach and R.E. Witmer(1976), A land use and land cover classification system for use with remote sensor data. In Geological survey professional paper 964, Washington, D.C. USA: United States Geological Survey.
  • Alston, J.M.(1986), An analysis of growth of U.S. farmland prices, 1963-82, American Journal of Agricultural Economics, 68(1), 1-9
  • Aho, A., DW Derryberry and T. Peterson(2014), Model selection for ecologists: the worldviews of AIC and BIC, Ecology, 95(3), 631-636.
  • Adams, F.G. G. Milgramm, E.W. Green and C. Mansfield(1968), Undeveloped land prices during urbanization: a micro-empirical study over time, Review of Economics and Statistics, 50, 248-258.