A methodology for identification and analysis of city shrinkage effects in urban morphology and landscape

Shrinking cities are one of the most topical issues in urban studies nowadays. However, studies on the consequences of urban shrinkage on landscape are not numerous. In this paper, a methodology for identifying and analyzing the effects of urban shrinkage on urban morphology and urban landscape is presented. Its purpose consists of identifying ruins and vacant lands through remote sensing operating upon open-source data. An example of application to a Portuguese shrinking city is also presented.info:eu-repo/semantics/acceptedVersio

Non-Markovian Effects on Overdamped Systems

We study the consequences of adopting the memory dependent, non-Markovian, physics with the memory-less over-damped approximation usually employed to investigate Brownian particles. Due to the finite correlation time scale associated with the noise, the stationary behavior of the system is not described by the Boltzmann-Gibbs statistics. However, the presence of a very weak external white noise can be used to regularize the equilibrium properties. Surprisingly, the coupling to another bath effectively restores the dynamical aspects missed by the over-damped treatment.Comment: 10 page

7th Nordic Geographers Meeting, Session N12

The ruination of the urban built environment is intuitively associated with areas of poverty and social deprivation in cities. The Chicago School’s theories on the city growth developed in the Interwar period of the 20th century have largely supported this belief. Ruination was presented in those theories as a 'natural' result of the centrifugal growth of cities, i.e. social mobility and suburbanization. In this paper, we are going to investigate the above-mentioned relationships between the deterioration of the built environment and the social geography of cities. We seek to ascertain whether the ruins may be simply seen as inscriptions of poverty in the cityscape or whether they are signs of social and economic changes in a broader sense. Through remote sensing supported by high-resolution aerial photography and fieldwork, all the ruined buildings situated in the Lisbon city center and in an old industrial suburb of Lisbon’s periphery – Barreiro city – were identified. Census data on the socioeconomic conditions of population was then cross-referenced and a multiple linear regression was used for determining relations between the two types of data.info:eu-repo/semantics/draf

Post‐industrial urban shrinkage in Lisbon: planning challenges for former manufacturing sites

The paper aims are twofold: This paper develops a new approach to measure physical change outcomes of urban shrinkage (No Void project). The paper showcases Lisbon city, which has suffered depopulation, explained by economic restructuring, and suburbanization and the effects of economic cycles (boom and bust) mingled with political options, comparing two manufacturing areas (East and Southwest) with different fortunes.info:eu-repo/semantics/draf

Ruínas e espaços abandonados da desindustrialização em Lisboa: a anatomia de uma crise urbana

The paper aims are twofold: This paper develops a new approach to measure physical change outcomes of urban shrinkage (NoVoid project). The paper showcases Lisbon city, which has suffered depopulation, explained by economic restructuring, and suburbanization and the effects of economic cycles (boom and bust) mingled with political options, comparing two manufacturing areas (East and Southwest) with different fortunes.info:eu-repo/semantics/draf

Adding Value to Key Issues Research Through Q-Sorts and Interpretive Structured Modeling

A questionnaire requiring respondents to rate the importance of key issues is the traditional data collection tool for investigating the key issues of Information Technology (IT) managers. Such an instrument does not force managers to confront the relationships between issues. Q-sort and interpretive structured modeling (ISM) force managers to consider the linkages among key issues. This article discusses the use of these methodologies for investigating key issues and demonstrates their application with data collected from Brazilian banking IT managers. This study illustrates how these approaches provide additional insights into the key concerns facing IT managers

Numerical simulation of vibrated granular gases under realistic boundary conditions

A variant of the Direct Simulation Monte Carlo method is used to study the behavior of a granular gas, in two and three dimensions, under varying density, restitution coefficient, and inelasticity regimes, for realistic vibrating wall conditions. Our results agree quite well with recent experimental data. The role of the energy injection mechanism is discussed, as well as the behavior of state-functions, such as pressure, under realistic boundary conditions. Upon a density increase, we find signals of a clustering transition.Comment: Latex, 12 EPS figures (to appear in Physica A