Regional land use and energy modeling. [Extension of classic Lowry model]

Conference · Thu Jan 01 04:00:00 EST 1976

OSTI ID:7319986

Kydes, A S; Sanborn, J B; Carroll, T O

The task of searching for and selecting strategies and measures which will bring about energy conservation vis-a-vis land use becomes that of understanding and defining the relationships between sets of possible land-use activities in a given region and the resultant energy end-use demand. The outcome of the search is the determination of the relative impact of such strategies and measures upon both the regional and national energy systems. The land-use energy-simulation model with the integrated capability for generating energy demand is an extension of the classic Lowry model. Such a model framework captures two essential features of the land-use energy-utilization interaction: (1) the spatial location of land-use activity is explicit, and (2) transportation energy demand is determined as an integral part of the spatial configuration. The model is divided both conceptually and computationally into three parts: the land-use model, a submodel for transportation which provides the work and shop trip distribution for spatial allocation of activities within the land-use submodel, and an energy submodel which determines energy demand resulting from the land-use configuration. (MCW)

• Research Organization: Brookhaven National Lab., Upton, NY (USA)
• Sponsoring Organization: US Energy Research and Development Administration (ERDA)
• DOE Contract Number: E(30-1)-16
• OSTI ID: 7319986
• Report Number(s): BNL-21809; CONF-761122-1
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
290300* -- Energy Planning & Policy-- Environment
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& Safety
291000 -- Energy Planning & Policy-- Conservation
510500 -- Environment
Terrestrial-- Site Resource & Use Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
DEMAND FACTORS
ENERGY CONSERVATION
ENERGY DEMAND
ENERGY MODELS
LAND USE
MATHEMATICAL MODELS
REGIONAL ANALYSIS
SIMULATION