Migration is one of the most dramatic and vast human processes in modern times. Migration is defined as people that leave their home and home-land and move to a new country. In this research we address the pattern of this massive human movement with the tools of network theory. The undirected global flow migration network (2006)(2007)(2008)(2009)(2010) was identified as an exclusive disassortative network which combines two types of defined groups of large-and small-degree (D) countries with betweeness (Be) of Be∼D 3 . This structure was modeled and simulated with synthetic networks of similar characteristics as the global flow migration network, and the results suggest that small-degree nodes have the topology of random networks, but the dominant part of the large-degree hubs controls this topology and shapes the network into an ultra-small world. This exclusive topology and the difference of the global flow migration network from scale-free and from Erdös-Rényi networks may be a result of two defined and different topologies of largeand small-degree countries.

The focus of this study is on the ability of morphometrics and building pattern recognition to improve top-down urban renewal processes by identifying post-Second World War mass housing suitable for urban renewal. We used two conceptual frameworks: the first from the field of urban design and architecture and the second from the field of multi-parametric analysis and geographic information system. A survey of a sample of typical post-Second World War mass housing units based on historical blueprints was developed to identify geometric indicators. The geometric indicators were transformed into a geographic information system parametric model for the identification of post-Second World War mass housing units and sites in current urban plans on a city scale. The model was implemented in the city of Haifa, Israel, as a case study. The analysis results indicate 1288 buildings in 283 urban sites suitable for urban renewal, 10% of the present city’s housing stock.

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Construction initiation (CI) of floor area is an important socioeconomic and physical characteristic of urban structure and its evolution. Despite its importance and the availability of CI data, it has not attracted significant attention until now. Since the 1970s, the Tel Aviv-Yafo Municipality and Israel Central Bureau of Statistics have collected annual CI data pertaining to residential and nonresidential categories for subquarters. This paper presents an analysis of the spatial evolution of the city of Tel Aviv in the years 1976–2003, from the CI perspective. Novel aspects of this research are related to autocorrelation analysis CI patterns in individual years versus annually accumulated construction and in core versus noncore build up categories. It is shown that floor-area additions form relatively complex spatiotemporal patterns that are not referred to explicitly in existing urban studies of Tel Aviv. Autocorrelation results suggest the superimposition of current almost homogeneous or random spread over earlier phases of core area domination: the formation of uniform choice space. These random patterns represent primarily spontaneous residential regeneration processes since 1990, and major diffusion of the commercial and public activities beyond the central business district areas.