Urban Development with Lags

Bar-Ilan, Avner; Strange, William C.

doi:10.1006/juec.1996.0005

Cited by 75 publications

(55 citation statements)

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“…In a model with uncertainty, Capozza and Helsley (1990) argue that developers should delay development until the value of the built-up land compensates 17 for, not just the value of land in the best alternate use plus conversion costs (as in Arnott and Lewis, 1979), but also the option value of not developing in the face of uncertainty. Bar-Ilan and Strange (1996) extend Capozza andHelsley (1990) to allow for the fact that there are often long lags between the decision to build and the completion of construction. In this framework, uncertainty about urban growth translates into greater rent uncertainty the further away a parcel is from the city center.…”

Section: Iva the Monocentric City Model And Its Generalizationsmentioning

confidence: 99%

Causes of Sprawl: A Portrait from Space

Burchfield

Overman

Puga

et al. 2006

The Quarterly Journal of Economics

577

379

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We study the extent to which us urban development is sprawling and what determines differences in sprawl across space. Using remote-sensing data to track the evolution of land use on a grid of 8.7 billion 30×30 meter cells, we measure sprawl as the amount of undeveloped land surrounding an average urban dwelling. The extent of sprawl remained roughly unchanged between 1976 and 1992, although it varied dramatically across metropolitan areas. Ground water availability, temperate climate, rugged terrain, decentralized employment, early public transport infrastructure, uncertainty about metropolitan growth, and unincorporated land in the urban fringe all increase sprawl.Key words: urban sprawl, land development, remote sensing jel classification: r14, o51 * For helpful comments and suggestions we thank three anonymous referees, William Fischel, Masahisa Fujita, John Hartwick, Vernon Henderson, John Landis, William Strange, and, in particular, Edward Glaeser. We also received helpful comments from seminar participants at the University of California Berkeley, Harvard University, Universitat Pompeu Fabra and Stanford University, and at conferences organized by the Regional Science Association International, the Centre for Economic Policy Research, the Association of Environmental and Resource Economists, and the Lincoln Institute. We are very grateful to Ferko Csillag for his advice on remote-sensing data. Also to the us Geological Survey, and in particular to Stephen Howard and James Vogelmann, for early access to preliminary versions of the 1992 data. Vernon Henderson and Jordan Rappaport kindly provided us with data on metropolitan population 1920-1990, Matthew Kahn with data on employment decentralization, and Jacob Vigdor with data on streetcar usage. While working on this project, Burchfield was an MSc student at the Department of Geography, University of Toronto. She gratefully acknowledges help from Kent Todd in preparing arc Macro Language scripts. Funding from the Social Sciences and Humanities Research Council of Canada (Puga and Turner), and the support of the Canadian Institute for Advanced Research (Puga) and the National Fellows program at the Hoover Institution (Turner) are gratefully acknowledged.† Neptis Foundation, 50 Park Road, Toronto, Ontario m4w 2n5, Canada (e-mail: mburchfield@neptis.org). ‡ Department of Geography and Environment, London School of Economics, Houghton Street, London wc2a 2ae, United Kingdom (e-mail: h.g.overman@lse.ac.uk; website: http://cep.lse.ac.uk/~overman). Also affiliated with the Centre for Economic Policy Research, and the Centre for Economic Performance at the London School of Economics.§ Department of Economics, University of Toronto, 150 Saint George Street, Toronto, Ontario m5s 3g7, Canada (e-mail:d.puga@utoronto.ca; website: http://dpuga.economics.utoronto.ca). Also affiliated with the Canadian Institute for Advanced Research and the Centre for Economic Policy Research. ¶ Department of Economics, University of Toronto, 150 Saint George Street, Toronto, On...

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Section: Iva the Monocentric City Model And Its Generalizationsmentioning

confidence: 99%

Causes of Sprawl: A Portrait from Space

Burchfield

Overman

Puga

et al. 2006

The Quarterly Journal of Economics

577

379

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“…This irreversibility assumption can be relaxed, as is outlined below. A detailed demonstration of this technique for a geometric process can be found in Bar-Ilan and Strange (1996).…”

Section: Summary and Extensionsmentioning

confidence: 99%

Investment with an arithmetic process and lags

Bar-Ilan

2000

Manage Decis Econ

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“…Alvarez and Keppo, 2002;Bar-Ilan and Strange, 1996). We do not consider the latter aspect in the present application due to the unavailability of the necessary data.…”

Section: Objective Functionmentioning

confidence: 99%