Abstract
The word "Imageability" proposed by Kevin Lynch is operationally redefined here as "Image Probability", with which people recall certain elements in a central district. 4 central districts chosen from Tokyo and Yokohama region are charactorized as middle-scale commercial centers which are composed of 132〜313 commercial elements. 400 persons in each district are interviewed at the commuter station in its district, to find out by how many persons each element is recalled out of 400 persons interviewed. This "Image probability" is analysed by the standardized multiple regression analysis, variables of which are physical charactoristics of each element, for example, number of stories of building which a element belong to, floor area of the element, length with which the element faces to the street, number of streets which the element faces, distance at which the element locates from the station, etc. The multple correlation coefficients are 0.620, 0.638, 0.732, 0.755 in 4 districts. Among the multple correlation coefficients, these related with the distance from the station are the most interesting. These values show the degree of decrease of image probability along each street, and this could be a new scale of measurement for the centrality of street or the "Street Imagiability" See Table V-1, a_7, a_8, a_9, a_10. From this table, we can recognize three kinds of streets. (1) Main streets which have low decreasing ratio of the image probability. (2) Secondary streets which have high decreasing ratio of the image probability. (3) Back streets which have low decreasing ratio again, after the image probability drops to the certain level along secondary street.
