Federico Benassi

Modelling the spatial variation of human population density using Taylor's power law, Italy 1971-2011

ABSTRACT Taylor’s power law (Tpl) is applied to the human population density of Italian regions and provinces for the period 1971–2011. Three different weighting systems are used to estimate Tpl at the national and subnational levels in which seemingly unrelated regression models are adopted. The following results were found: Tpl is suitable for human populations and sensitive to the adopted weighting system; Tpl’s slope is positive and, at a subnational level, has an inverse behaviour with respect to the spatial variability of the weighting variables; and Tpl’s slope can be viewed as an indicator of a population’s spatial distribution homogeneity.

The importance of spatial adjustment processes in the labour force: the case of Albania

Using census data on work commuting in Albania – collected for the first time in 2011 – this study examines the spatial adjustment processes between demand and supply of labour across the country. The first part focuses on the spatial adjustment of labour forces that occur within and between Albanian’s prefectures. Several statistical indicators, derived using origin-destination matrices, measure the differential levels of attraction and expulsion of each prefecture. Results show a high level of heterogeneity and emphasise the crucial role of spatial contiguity among prefectures on this spatial dynamic. The second part examines the role of the municipality of Tirana. This is first investigated within a three-territorial-units system (the municipality of Tirana, rest of the prefecture and rest of Albania) and then within the prefecture as a closed system. Interestingly, 71.5% of all the commuting flows directed to the Municipality originate from municipalities located very close to Tirana (less than 10 km). We conclude that the spatial structure of the prefecture, reasonably extendable to the whole country, can be defined as monocentric. Further studies should focus on the implied costs of this system to the society and environment of Albania.

Measuring Residential Segregation of Selected Foreign Groups with Aspatial and Spatial Evenness Indices. A Case Study

Over the last decades there have been important methodological advances in measuring residential segregation, especially concerning spatial indices. After a discussion of the fundamental concepts and approaches some of the numerous indices are introduced. We focus in particular on the most known aspatial and spatial indices in the dimension of evenness namely segregation and dissimilarity indices. The contribution is based on data of the geographic distribution of selected foreign groups resident in the census enumeration areas that form the Local Labour Market Area (LLMA) of Rome. Data refer to the population censuses 2001 and 2011. Applying the indices to the LLMA of Rome serves as a test of the practical and potential usefulness of the proposed measures and their possible interpretation.

Graph Regionalization with Clustering and Partitioning: An Application for Daily Commuting Flows in Albania

The paper presents an original application of the recently proposed spatial data mining method named GraphRECAP on daily commuting flows using 2011 Albanian census data. Its aim is to identify several clusters of Albanian municipalities/communes; propose a classification of the Albanian territory based on daily commuting flows among municipalities/communes. Starting from 373 local units, we first applied a spatial clustering technique without imposing any constraining strategy. Based on the input variables, we obtained 16 clusters. In the second step of our analysis, we impose a set of constraining parameters to identify intermediate areas between the local level (municipality/commune) and the national one. We have defined 12 derived regions (same number as the actual Albanian prefectures but with different geographies). These derived regions are quite different from the traditional ones in terms of both geographical dimensions and boundaries.