Understanding Connectivity of Settlements: Implications of the Power Curve
Access Status
Authors
Date
2009Type
Metadata
Show full item recordCitation
Source Title
Source Conference
ISBN
School
Collection
Abstract
Research on human settlements has traditionally focussed on one or a few descriptive or functional aspects, such as geographical characteristics of the locality, the economy, housing, transport, infrastructure, education or health, or created models with varying degrees of complexity that attempt to bring these elements together. This paper applies a different approach that is based in understanding connectivity within and between complex systems. It outlines a new growth area for settlement research and design which brings into play the concept of scale-free hierarchical networks with preferential tendencies, best described by the power curve. Using examples ranging from remote communities to developing countries, the concept helps explain among others, the economic connectivity within a globalised world. The paper also argues that understanding the implications of connectivity is a step towards predicting, evaluating and diagnosing the social, cultural and economic sustainability of settlements.
Related items
Showing items related by title, author, creator and subject.
-
Smoker, John Frank (2011)There are 287 discrete Aboriginal towns in remote areas of Western Australia, accommodating about 17,000 Aboriginal people and varying in population size from small towns with under 20 people up to larger towns with over ...
-
Perugia, Francesca (2021)The current literature on migrants' housing experience in Australia and internationally often uses spatial and economic conditions of disadvantage and adverse personal circumstances to frame the description of migrants' ...
-
Alkroosh, Iyad Salim Jabor (2011)This thesis presents the development of numerical models which are intended to be used to predict the bearing capacity and the load-settlement behaviour of pile foundations embedded in sand and mixed soils. Two artificial ...