So far some economists have studied the pattern of traffic assignment theoretically and empirically. But it seems that there are few proper stochastic or statistical models for analyzing the traffic assignment problem on the base of an economic theory. The purpose of this paper is to formulate the economic behavior of traffic assignment and to derive some statistical models which seem useful for empirical study or the prediction of the future course.
This article is devoted to neo-classical location problems, based on input substitution and maximization of profits. The firm's optimal location is determined by means of an iterative grid search procedure, which is clarified by means of a set of numerical examples.
Network tools are used in computing demand for recreational services.
A study initiated by the National Physical Planning Agency of the Dutch government has offered an opportunity to further develop an economic push-pull model of interregional migration. A new aggregate-hypothesis is presented which is derived from a survey of migration research. It is followed by a preliminary test involving a certain choice of regions, statistical indicators, time period, direction and form of postulated relationships. The test reveals that the (aggregate) chance of interprovincial migration depends in a statistically significant way on relative economic attraction, physical distance, social distance, alternative economic attraction, and relative housing attraction.
The confusion which is made in certain location studies, between Weber's optimum and that the center of gravity, is analyzed. It is demonstrated that the two points are not identical, and that the center of gravity minimizes the squares of the distances. The cause of the confusion is shown. And two numerical examples show the necessity to differentiate the two points.
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