Transferability study of the Large Zone Economic Module (LZEM) of the SE3M model of land use and transportation |
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| Affiliation: | 1. Environmental Futures Research Institute, Griffith School of Environment, Griffith University, Nathan, Qld 4111, Australia;2. Environmental Research Department, Alcoa World Alumina Australia, Huntly Mine, P.O. Box 172, WA 6208, Australia;1. Interdepartmental Graduate Program in Marine Science, USA;2. Department of Geography, University of California, Santa Barbara, CA 93106, USA;3. Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106-5131, USA;1. Department of Statistics, Iowa State University, Ames, IA 50011, USA;2. Mathematical Biology Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904 0495, Japan;1. Department of Population Health Science and Policy and Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York;2. Department of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, New York;1. Department of Engineering, University of Perugia, via Duranti 93, 06125, Perugia, Italy;2. Fondazione Bruno Kessler, via Sommarive 18, 38123, Povo, Trento, Italy |
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| Abstract: | Models of urban land use are often used in the policy analysis process to forecast long-range impacts of various land use policies or urban infrastructure projects. For models that have been deemed suitable for multiple implementations, a critical, initial test of the model framework is to examine the model's transferability to other geographies. The purpose of this paper is to present a transferability study of the Large Zone Economic Module (LZEM) of the SE3M model of land use and transportation. The SE3M was initially implemented in the US territory of Guam. The islands of Puerto Rico and Oahu were selected as case studies for this model, transferability evaluation. LZEM is implemented with three base years (2000, 2002 and 2007) for these case studies and then validated to 2010 as horizon year for which validation data was available in the Puerto Rico and Oahu implementations. This paper presents evidence that LZEM is reasonably accurate when applied to other geographic regions and that if specific economic parameters are identified, the entire regional economy and the associated population and employment distribution can be spatially modeled within the LZEM framework. |
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| Keywords: | Land use modeling Regional science Urban planning Integrated land use and transportation forecasting model |
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