The Land Use Evolution and Impact Assessment Model (or LEAM) is a computer model developed at the

University of Illinois at Urbana-Champaign The University of Illinois Urbana-Champaign (UIUC, U of I, Illinois, or University of Illinois) is a public land-grant research university in the Champaign–Urbana metropolitan area, Illinois, United States. Established in 1867, it is the f ...

. LEAM is designed to simulate future land use change as a result of alternative policies and development decisions. In recent years, LEAM has been used in combination with transportation and

social cost Social cost in neoclassical economics is the sum of the private costs resulting from a transaction and the costs imposed on the consumers as a consequence of being exposed to the transaction for which they are not compensated or charged. In other w ...

models to better capture the effects land use has on transportation demand and social costs and vice versa.

History

LEAM was first developed in the LEAMlab of the Department of Urban and Regional Planning at the

in the late 1990s with funding from the

National Science Foundation The U.S. National Science Foundation (NSF) is an Independent agencies of the United States government#Examples of independent agencies, independent agency of the Federal government of the United States, United States federal government that su ...

. Its popularity with counties and regional agencies in Illinois led to technology licensing from the university and commercialization. In 2003, LEAMgroup was founded by professors Dr. Brian Deal and Dr. Varkki Pallathucheril. Since then, LEAM and its associated planning and decision support tools have been applied all around the U.S. and abroad.

Approach

LEAM was developed to coordinate complex regional planning activities and aid in regionally-based thinking, decision support, and policy establishment. In LEAM, a region is represented as a 30x30-meter cell grid. A discrete-choice model controls whether land use in each grid cell is transformed from its present state to a new state (residential, commercial, or industrial use) in a particular time step. Several factors, or drivers, go into determining the likelihood of

land use change Land use is an umbrella term to describe what happens on a parcel of land. It concerns the benefits derived from using the land, and also the land management actions that humans carry out there. The following categories are used for land use: for ...

. Drivers of change include factors associated with each cell such as proximity to cities, employment centers, roads, highways; slope; location within wetlands and floodplains; and characteristics of surrounding cells. Whether or not a cell finally changes states is determined by its probability score and the scores of its neighboring cells as well as a factor of chance. LEAM results then serve as inputs to impact assessment models that determine the implications of land use change on human, natural, and cultural systems. Some of these models include: transportation demand, air quality, water quality and quantity, runoff pollution,

habitat fragmentation Habitat fragmentation describes the emergence of discontinuities (fragmentation) in an organism's preferred environment (habitat), causing population fragmentation and ecosystem decay. Causes of habitat fragmentation include geological proces ...

, and utility and infrastructure demand and cost.

References

B. Deal, 2001. "Ecological Urban Dynamics: The Convergence of Spatial Modeling and Sustainability," ''The Journal of Building Research and Information'' 29(5): 381-393. B. Deal, C. Farello, & B. Hannon, 2004. "A Dynamic Model of the Spread of an Infectious Disease: The Case of Fox Rabies in Illinois," in ''Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach'' R. Costanza and A. Voinov, eds. New York: Springer. B. Deal and D. Fournier, 2000. "Ecological Urban Dynamics and Spatial Modeling," Proceedings of the American Council for an Energy Efficient Economy, Summer Study on Efficiency and Sustainability, Monterey, CA. B. Deal and V. Pallathucheril, 2009. "A Use-Driven Approach to Large-Scale Urban Modelling and Planning Support," in ''Planning Support Systems Best Practice and New Methods'' S. Geertman and J.C.H. Stillwell, eds. Springer Science+Business, pp. 29–51. B. Deal and V.G. Pallathucheril, 2009. "Sustainability and Urban Dynamics: Assessing Future Impacts on Ecosystem Services," ''Sustainability'' 1: 346-362. B. Deal and V.G. Pallathucheril, 2007. "Developing and Using Scenarios," in ''Engaging the Future: Forecasts, Scenarios, Plans, and Projects'' L.D. Hopkins and M.A. Zapata, eds. Cambridge, MA: Lincoln Institute of Land Policy. B. Deal and D. Schunk, 2004. "Spatial Dynamic Modeling and Urban Land Use Transformation: A Simulation Approach to Assessing the Costs of Urban Sprawl," ''The Journal of Ecological Economics'' 51(1-2): 79-95. B. Deal and Z. Sun, 2006. "A Spatially Explicit Urban Simulation Model: Landuse Evolution and Impact Assessment Model (LEAM)," in ''Smart Growth and Climate Change: Regional Development, Infrastructure and Adaptation'' M. Ruth, ed. Northampton, MA: Edward Elgar, pp. 181–203. L.D. Hopkins, N. Kaza, & V.G. Pallathucheril, 2005. "A Data Model to Represent Plans and Regulations in Urban Simulation Models," in ''GIS, Spatial Analysis, and Modeling'' D. Maguire, M. Batty, and M. Goodchild, eds. Redlands, CA: ESRI Press. Z. Sun, B. Deal, and V.G. Pallathucheril, 2009. "The Land-use Evolution and Impact Assessment Model: A Comprehensive Urban Planning Support System," ''URISA: Journal of the Urban and Regional Information Systems Association'' 21(1): 57-68.

External links

LEAM homepage
{{morecat, date=June 2024 Scientific simulation software

History

Approach

See also

References

External links