Managing Urban Growth for the Efficient Use of Public Infrastructure: Toward a Theory of Concurrency
Gerrit Knaap,
Chengri Ding and
Lewis D. Hopkins
Additional contact information
Gerrit Knaap: Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL, g-knaap@uiuc.edu
Chengri Ding: Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, cehgri@archone.tamu.edu
Lewis D. Hopkins: Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL
International Regional Science Review, 2001, vol. 24, issue 3, 328-343
Abstract:
In this article, the authors develop three dynamic models of urban growth with a focus on the efficient utilization of lumpy urban infrastructure. First, the authors show that the optimal growth rate depends on the rate at which infrastructure capacity is consumed when public service levels are variable and produced with a fixed stock of public infrastructure. Second, it is shown that the optimal growth rate depends on the rate of increase in marginal public service costs when public service levels are fixed and provided with variable inputs and a fixed stock of infrastructure. Third, the authors examine the optimal growth path when service levels are fixed and infrastructure is expanded in lumpsum increments. Under these conditions, the authors show that the optimum urban growth path depends on the level and timing of investments in urban infrastructure and that efficiencies can be gained by coordinating public and private investments in urban development.
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/016001760102400304 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:24:y:2001:i:3:p:328-343
DOI: 10.1177/016001760102400304
Access Statistics for this article
More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().