Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract. The paper presents an analysis of the development of the Tel Aviv metropolis using the concept of fractal. The fractal density of the whole urban ensemble and of its parts was estimated as a function of the time, from 1935 on. The central part and the northern tier is fractal at all times. Its fractal dimension increase with time. However, the whole ensemble can be said to be fractal only after 1985. There is a general tendency toward fractality in the sense that the fractal dimensions of the different parts converge toward the same value. Terms of use: Documents in EconStor may

This paper presents an analysis of the spatial and temporal development of Tel-Aviv. The central notion in the analysis is the old concept of leap-frogging. Instead of seeing the population's evolution as a growth process from the centre of the metropolis outwards, we consider the population's development as taking place in different centres in a series of successive 'jumps'. In order to quantify the process, the growth of the centres' populations is fitted with the same mathematical function. This procedure enables us to extract the relevant parameters of each centre's growth and to make comparisons among them. We show that the population growth in the various centres is very similar. It permits the use of the scaling concept. In addition, a model of the growth of the individual centre is developed.

This paper suggests a plausible explanation for the spatial evolution of high-rise buildings. Contrary to intuitive expectations the histograms and spatial distribution in cities indicate peculiar and non-continuous patterns. These patterns evolve as a result of developers' behavior in real-estate markets. One of the critical variables in decision-making of developers is time. Despite obvious differences in land prices within a particular real-estate market, differences in costs and prices are relatively small in comparison to differences in their time incidence. The paper presents a simple search model of land developer that suggests interesting explanation of the spatial sprawl of cities. The central parameter in our model is "characteristic time", the period of time from the acquisition of initial property rights in the land and until the first return on the investment is realized. The model leads to leapfrogging patterns, particularly during downturn periods and explains the appearance of high-rise buildings in the urban periphery. JEL Classification R11 · R12

In this paper we suggest an approach for understanding the spatial behavior and structure of cities. It views cities as physical objects and is based on urban morphology alone. The units of examination are urban clusters instead of municipalities defined by politically determined boundaries. Clusters are defined as contiguous built-up urban areas. We present characteristics of clusters, including their morphology. Previous work that analyzed urban clusters focused on the Pareto distribution of clusters and on the behavior of the biggest cluster. Our work presents a more thorough description of the characteristics of urban clusters. By means of historic data of the Tel Aviv metropolis we present cluster statistics and we study their dynamics. We present characteristics of the clusters from 1935 to 2000, including their number, rank-size distribution, and morphology through the area–perimeter relation. These indicators present important anomalies in 1964 and 1985. Our study suggests that the urban cluster approach can be used as a tool to study urban phenomena and we hope that through them we shall be able to investigate economic and social phenomena as well.

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