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Erschienen in: Journal of Geographical Systems 3/2018

05.03.2018 | Original Article

Statistical distribution of building lot frontage: application for Tokyo downtown districts

verfasst von: Hiroyuki Usui

Erschienen in: Journal of Geographical Systems | Ausgabe 3/2018

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Abstract

The frontage of a building lot is the determinant factor of the residential environment. The statistical distribution of building lot frontages shows how the perimeters of urban blocks are shared by building lots for a given density of buildings and roads. For practitioners in urban planning, this is indispensable to identify potential districts which comprise a high percentage of building lots with narrow frontage after subdivision and to reconsider the appropriate criteria for the density of buildings and roads as residential environment indices. In the literature, however, the statistical distribution of building lot frontages and the density of buildings and roads has not been fully researched. In this paper, based on the empirical study in the downtown districts of Tokyo, it is found that (1) a log-normal distribution fits the observed distribution of building lot frontages better than a gamma distribution, which is the model of the size distribution of Poisson Voronoi cells on closed curves; (2) the statistical distribution of building lot frontages statistically follows a log-normal distribution, whose parameters are the gross building density, road density, average road width, the coefficient of variation of building lot frontage, and the ratio of the number of building lot frontages to the number of buildings; and (3) the values of the coefficient of variation of building lot frontages, and that of the ratio of the number of building lot frontages to that of buildings are approximately equal to 0.60 and 1.19, respectively.

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Metadaten
Titel
Statistical distribution of building lot frontage: application for Tokyo downtown districts
verfasst von
Hiroyuki Usui
Publikationsdatum
05.03.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Geographical Systems / Ausgabe 3/2018
Print ISSN: 1435-5930
Elektronische ISSN: 1435-5949
DOI
https://doi.org/10.1007/s10109-018-0268-3

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