Patterns of urban land use in a developing country: the role of transport infrastructure and natural amenities in Brazil

REFERENCES

• Ahlfeldt, G. M. , & McMillen, D. P. (2018). Tall buildings and land values: Height and construction cost elasticities in Chicago, 1870–2010. Review of Economics and Statistics , 100 (5), 861–875. https://doi.org/10.1162/rest_a_00734
   Web of Science ®Google Scholar
• Ahlfeldt, G. M. , Redding, S. J. , Sturn, D. M. , & Wolf, R. E. (2015). The economics of density: Evidence form Berlin Wall. Econometrica , 83 (6), 2127–2189. https://doi.org/10.3982/ECTA10876
   Web of Science ®Google Scholar
• Antipova, A. , Wang, F. , & Wilmot, C. (2011). Urban land uses, socio-demographic attributes and commuting: A multilevel modeling approach. Applied Geography , 31 (3), 1010–1018. https://doi.org/10.1016/j.apgeog.2011.02.001
   Web of Science ®Google Scholar
• Arnott, R. , Hochman, O. , & Rausser, G. C. (2008). Pollution and land use: Optimum and decentralization. Journal of Urban Economics , 64 (2), 390–407. https://doi.org/10.1016/j.jue.2008.02.007
   Web of Science ®Google Scholar
• Barr, J. (2010). Skyscrapers and the skyline: Manhattan, 1895–2004. Real Estate Economics , 38 (3), 567–597. https://doi.org/10.1111/j.1540-6229.2010.00277.x
   Web of Science ®Google Scholar
• Billings, S. B. , & Johnson, E. B. (2016). Agglomeration within an urban area. Journal of Urban Economics , 91 , 13–25. https://doi.org/10.1016/j.jue.2015.11.002
   Web of Science ®Google Scholar
• Braimoh, A. K. , & Onishi, T. (2007). Spatial determinants of urban land use change in Lagos, Nigeria. Land Use Policy , 24 (2), 502–515. https://doi.org/10.1016/j.landusepol.2006.09.001
   Web of Science ®Google Scholar
• Browning, C. R. , Byron, R. a. , Calder, C. a. , Krivo, L. J. , Kwan, M.-P. , Lee, J.-Y. , & Peterson, R. D. (2010). Commercial density, residential concentration, and crime: Land use patterns and violence in neighborhood context. Journal of Research in Crime and Delinquency , 47 (3), 329–357. https://doi.org/10.1177/0022427810365906
   Web of Science ®Google Scholar
• Brueckner, J. K. , & Rosenthal, S. S. (2009). Gentrification and neighborhood housing cycles: Will America’s future downtowns be rich? Review of Economics and Statistics , 91 (4), 725–743. https://doi.org/10.1162/rest.91.4.725
   Web of Science ®Google Scholar
• Brueckner, J. K. , Thisse, J. F. , & Zenou, Y. (1999). Why is central Paris rich and downtown Detroit poor? An amenity-based theory. European Economic Review , 43 (1), 91–107. https://doi.org/10.1016/S0014-2921(98)00019-1
   Web of Science ®Google Scholar
• Duranton, G. , & Puga, D. (2015). Urban land use. In G. Duranton , J. V. Henderson , & W. C. Strange (Eds.), Handbook of regional and urban economics (5th ed., pp. 467–560). Elsevier. http://real.wharton.upenn.edu/~duranton/Duranton_Papers/LandUseHand10b.pdf%5Cnhttp://files/1256/LandUseHand10b.pdf
   Google Scholar
• Fotheringham, S. , Brunsdon, C. , & Charlton, M. (2003). Geographically weighted regression . John Wiley & Sons.
   Google Scholar
• Fujita, M. (1989). Urban economic theory: Land use and city size . Cambridge University Press.
   Google Scholar
• Fujita, M. , & Thisse, J. (2013). Economics of agglomeration, industrial location, and regional growth . Cambridge University Press.
   Google Scholar
• IBGE . (2012). Censo Demográfico 2010, Resultados Gerais da Amostra . IBGE.
   Google Scholar
• Jacob, B. , & McMillen, D. (2015). Border effects in Suburban land use. National Tax Journal , 68 (3S), 855–874. https://doi.org/10.17310/ntj.2015.3S.06
   Google Scholar
• Law, J. , Quick, M. , & Chan, P. (2016). Open area and road density as land use indicators of young offender residential locations at the small-area level: A case study in Ontario, Canada. Urban Studies , 53 (8), 1710–1726. https://doi.org/10.1177/0042098015576316
   Web of Science ®Google Scholar
• Loader, C. (1999). Local regression and likelihood . Springer.
   Google Scholar
• Lucas, R. E. , & Rossi-Hansberg, E. (2003). On the internal structure of cities. Econometrica , 70 (4), 1445–1476. https://www.jstor.org/stable/3082004 doi: 10.1111/1468-0262.00338
   Web of Science ®Google Scholar
• McMillen, D. (2006). Tenting for monocentricity. In R. Anott & D. McMillen (Eds.), A companion on urban economics . Blackwell Publishing.
   Google Scholar
• McMillen, D. (2017). Teardowns and demolitions in Chicago, 2000-2014: A conditionally parametric approach. Revue Économique , 68 (3), 511–535. https://doi.org/10.3917/reco.683.0511
   Web of Science ®Google Scholar
• McMillen, D. , & McDonald, J. F. (1999). Land use before zoning: The case of 1920’s Chicago. Regional Science and Urban Economics , 29 (4), 473–489. https://doi.org/10.1016/S0166-0462(99)00004-6
   Web of Science ®Google Scholar
• McMillen, D. , & McDonald, J. F. (2004). Locally weighted maximum likelihood estimation: Monte Carlo evidence and application. In L. Anselin , R. Florax , & S. Rey (Eds.), Advances in spatial econometrics: Methodology, tools and applications (1st ed., pp. 225–229). Springer.
   Google Scholar
• McMillen, D. , & Soppelsa, M. E. (2015). A conditionally parametric probit model of microdata land use in Chicago. Journal of Regional Science , 55 (3), 391–415. https://doi.org/10.1111/jors.12174
   Web of Science ®Google Scholar
• Medina, L. L. (1997). A Legislação de Uso e Ocupação do Solo do Recife. In Norma Lacerda , Ana Rita Sá Carneiro , & Fátima Furtado (Eds.), Anais do 7o Encontro Nacional da Associação de Pós-Graduação e Pesquisa em Planejamento Urbano e Regional – ANPUR (pp. 540–566). ANPUR.
   Google Scholar
• Monteiro, C. , & Carvalho, L. (2016). Recife: The popular struggle for a better city. Architectural Design , 86 (3), 96–105. https://doi.org/10.1002/ad.2051
   Web of Science ®Google Scholar
• Morandé, F. , Petermann, A. , & Vargas, M. (2010). Determinants of urban vacant land: Evidence from Santiago, Chile. Journal of Real Estate Finance and Economics , 40 (2), 188–202. https://doi.org/10.1007/s11146-008-9123-5
   Google Scholar
• Nadalin, V. , & Igliori, D. (2016). Empty spaces in the crowd. Residential vacancy in Sao Paulo’s city centre. Urban Studies , 54 (13), 3085–3100. https://doi.org/10.1177/0042098016666498
   Web of Science ®Google Scholar
• O’Sullivan, A. (2012). Urban economics (8th ed.). McGraw-Hill Irwin. http://books.google.com/books?id=XPuyAAAAIAAJ
   Google Scholar
• Páez, A. (2006). Exploring contextual variations in land use and transport analysis using a probit model with geographical weights. Journal of Transport Geography , 14 (3), 167–176. https://doi.org/10.1016/j.jtrangeo.2005.11.002
   Web of Science ®Google Scholar
• Rodrigues, F. , Silveira Neto, R. , & Miranda, F. (2018). Identification of employment sub-centers in Brazilian Metropolitan Regions, Anais do 47o Encontro Nacional de Economia . Anpec.
   Google Scholar
• Sarzynski, A. , Wolman, H. L. , Galster, G. , Hanson, R. , Gordon, P. , & Richardson, H. (2006). Testing the conventional wisdom about land use and traffic congestion: The more we sprawl, the less we move? Urban Studies , 43 (3), 601–626. https://doi.org/10.1080/00420980500452441
   Web of Science ®Google Scholar
• Seabra, D. , Silveira Neto, R. D. M. , & Menezes, T. (2016). Amenidades Urbanas e Valor das Residências: Uma Análise Empírica para a Cidade do Recife. Economia Aplicada , 20 (1), 143–169. https://doi.org/10.11606/1413-8050/ea147474
   Google Scholar
• Silveira Neto, R. D. M. (2016). Mais Carros, Menos Espraiamento e Menos Mobilidade? A (I)Mobilidade Urbana Recente na Região Metropolitana do Recife. In V Encontro Pernambucano de Economia (pp. 1–22). CORECON/PE.
   Google Scholar
• Tibshirani, R. , & Hastie, T. (1987). Local likelihood estimation. Journal of the American Statistical Association , 82 (398), 559–567. https://doi.org/10.1080/01621459.1987.10478466
   Web of Science ®Google Scholar
• Tobler, W. R. (1970). A computer movie simulating urban growth in Detroit region. Economic Geography , 46 (1), 234–240. https://doi.org/10.2307/143141
   Google Scholar
• Twinam, T. (2017). Danger zone: Land use and the geography of neighborhood crime. Journal of Urban Economics , 100 , 104–119. https://doi.org/10.1016/j.jue.2017.05.006
   Web of Science ®Google Scholar
• Verburg, P. H. , van Eck, J. R. R. , de Nijs, T. C. M. , Dijst, M. J. , & Schot, P. (2004). Determinants of land-use change patterns in the Netherlands. Environment and Planning B: Planning and Design , 31 (1), 125–150. https://doi.org/10.1068/b307
   Web of Science ®Google Scholar
• Wang, Y. , Kockelman, K. M. , & Xiaokun, W. (2011). Anticipation of land use change through use of geographically weighted regression models for discrete response. Transportation Research Record , 2245 (1), 111–123. https://doi.org/10.3141/2245-14
   Google Scholar
• Wheaton, W. (2004). Commuting, congestion, and employment dispersal in cities with mixed lad uses. Journal of Urban Economics , 55 (3), 417–438. https://doi.org/10.1016/j.jue.2003.12.004
   Web of Science ®Google Scholar
• Wheeler, D. , & Paéz, A. (2010). Geographically weighted regression. In M. Fischer & A. Getis (Eds.), Handbook of applied spatial analysis (1st ed., pp. 461–507). Springer.
   Google Scholar
• White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica , 50 (1), 1–25. https://doi.org/10.2307/1912526
   Web of Science ®Google Scholar
• Wooldridge, J. (2010). Econometric analysis of cross section and panel data . MIT Press.
   Google Scholar