title: Conventional development versus managed growth: the costs of sprawl.
abstract: OBJECTIVE
  We examined the effects of sprawl, or conventional development, versus managed (or "smart") growth on land and infrastructure consumption as well as on real estate development and public service costs in the United States.
  
  
  METHODS
  Mathematical impact models were used to produce US estimates of differences in resources consumed according to each growth scenario over the period 2000-2025.
  
  
  RESULTS
  Sprawl produces a 21% increase in amount of undeveloped land converted to developed land (2.4 million acres) and approximately a 10% increase in local road lane-miles (188 300). Furthermore, sprawl causes about 10% more annual public service (fiscal) deficits ($4.2 billion US dollars) and 8% higher housing occupancy costs ($13 000 US dollars per dwelling unit).
  
  
  CONCLUSIONS
  Managed growth can save significant amounts of human and natural resources with limited effects on traditional development procedures.
authors.affiliation: School of Urban Planning and Policy Development, Bloustein School of Planning and Public Policy, Rutgers University, 33 Livingston Avenue, Room 363, New Brunswick, NJ 08901-1900, USA. burchell@rci.rutgers.edu
authors.forename: Robert W
authors.initials: RW
authors.lastname: Burchell
authors.forename: Sahan
authors.initials: S
authors.lastname: Mukherji
mesh_terms: D002958:City Planning / Q000191:economics* / Q000458:organization & administration; D003132:Commerce / Q000191:economics* / Q000706:statistics & numerical data; D003365:Costs and Cost Analysis / Q000706:statistics & numerical data*; D004651:Employment; D004779:Environment Design / Q000191:economics*; D006798:Housing / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D009111:Local Government; D017059:Models, Econometric; D020380:Needs Assessment; D010067:Ownership; D011158:Population Growth; D011634:Public Health / Q000191:economics*; D012106:Research; D012946:Social Welfare / Q000191:economics*; D013660:Taxes; D014186:Transportation / Q000191:economics / Q000706:statistics & numerical data; D014481:United States