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The gravity model is a general model used to describe the spatial interaction behavior of social and economic flows. In its various forms, the gravity model has been widely used for several decades in such disciplines as transportation, geography, urban and regional planning, sociology, demography, economics, health planning, and marketing to analyze and predict flows of people, goods, money, etc. In transportation, the gravity model was a part of a string of models in the U.S. Department of Transportation's urban transportation planning (UTP) procedure used to forecast the flow of people and/or vehicles on every link of a transportation network in order to evaluate various transportation plans. Today, all commercial transportation planning packages include modules to compute gravity models.

While several versions of the gravity model have been given in the literature, in the most general definition of the gravity model, a flow Tij between an origin i and a destination j is written as

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The Ai is called an origin factor, Bj a destination factor, and for most applications are considered to be parameters to be estimated. The Fij is called a separation factor, and for practical purposes, is specified to be

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namely, a function of a separation measure cij. The separation measure cij may be vector valued, that is,

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where each component cijk is by itself also a measure of separation (for example, distance, transportation cost, travel time). The algebraic form of the function Fcij is set to be

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where θk = θ1,θ2,…,θk are unknown parameters to be estimated from observed flows. This form is general enough for most applications of interest. Such gravity models are called exponential gravity models and can be readily estimated by maximum likelihood procedures.

Development

Early 20th-century gravity models were developed by analogy with the physical sciences. By mid-20th century the intervening opportunities model was proposed to derive a model of flows from a different premise. The model assumed (1) that each traveler examines destinations sequentially starting with those closest to him/her and proceeding outward and (2) that each destination is chosen in proportion to the number of opportunities in it by someone who has not already accepted a closer destination. Later research showed that the intervening opportunities model is a special case of the form Tij = AiBjFij above.

In the 1950s and 1960s the gravitational analogy for the gravity model was challenged and a number of changes to the algebraic form of the function Fcij were proposed, for example,

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During that time, particularly in transportation studies, the separation measure, cij, was changed from distance to travel time, and since travel time is usually more sensitive to transportation system improvements, it also facilitated examination of the impacts of such improvements. Another frequently used measure is generalized cost, which is a linear combination of travel time and travel cost.

In the 1960s the gravity model was derived using entropy maximization, and Alan Wilson in his seminal work derived the model

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The entropy maximization approach assumed that (a) all microstates (lists of individual trips from all origins to all destinations) are equally probable and (b) the most probable meso-state (an origin–destination trip table) is the one given by the largest number of microstates. Wilson's model is equivalent to the generalized gravity model Tij = AiBjFij above by

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