We have used cellular automata integrated with GIS and remote sensing to analyze urban sprawl aiming at analyzing expansion of potential unauthorized land uses for residential, commercial and industrial based on spatial factor deriving from remote sensing high resolution data. The spatial factors considered are used as parameter to measure either land use in these expansion process develop as u...

Sprawl opponents have blamed sprawl for weakening linkages among the residents and social capital but there is a lack of empirical evidence to support their argument. This study examines the relationship between the county sprawl index and social-capital factors from the 2000 Social Capital Community Benchmark Survey data. Using 3-level hierarchical models, this study shows that for the US, urb...

Suburban sprawl is one of the most avidly followed urban issues in the United States today. However, despite the level of attention that is afforded sprawl, their remains relatively little understanding of its determinants and its constitution. Previous attempts to measure sprawl have focused largely on costing out its impacts rather than quantifying its characteristics. Also, the characterizat...

Urban sprawl is a hot topic of global concern with increasing dramatically and impact on ecological environment. But there is not a mature method to explain the detail of process of urban sprawl and dynamic changes. In this paper, the dynamic changes of urban is studied based on 1980, 1988, 1994, 2000 and 2005 five remote sensing images of Shenzhen. It is distinguished three types including inf...

Urban sprawl often has a negative connotation, used as a derogatory label for certain forms and consequences of land development that are seen as environmentally and socially unpleasant. Although sprawl may be seen as offensive, there may be other, far greater and more harmful consequences of sprawl. The literature indicates that rates of negative health outcomes, such as obesity, tend to be hi...

In this paper, we introduce a geometric statistic called the sprawl of a group with respect to a generating set, based on the average distance in the word metric between pairs of words of equal length. The sprawl quantifies a certain obstruction to hyperbolicity. Group presentations with maximum sprawl (ie without this obstruction) are called statistically hyperbolic. We first relate sprawl to ...

The management of urban sprawl is fundamental to achieving sustainable urban development. Monitoring urban sprawl is, however, challenging. This study proposes the use of two spatial statistics, namely global Moran and local Moran to indentify statistically significant urban sprawl hot and cold spots. The findings reveal that the Moran indexes are sensitive to the distance band spatial weight m...

than ever, many now see “urban sprawl” as the source of most of society’s problems and “smart growth” as the logical antidote to those problems. That belief has spawned a host of local and state initiatives and been popularized nationally by Vice President Al Gore, who proposes to make urban sprawl a federal issue. The assertions by the critics of urban sprawl do not stand up to scrutiny. Widel...

Urban growth identification, quantification, and the knowledge of rate and trends of growth would help in regional planning with better infrastructure in environmentally sound way. This requires analyses of spatial and temporal data, which can be done with the help of spatial and temporal technologies such as Remote Sensing, Geographic Information System (GIS) and Global Positioning System (GPS...

Suburban sprawl is one of the most avidly followed urban issues in the United States today. However, despite the level of attention that is afforded sprawl, their remains relatively little understanding of its determinants and its constitution. Previous attempts to measure sprawl have focused largely on costing out its impacts rather than quantifying its characteristics. Also, the characterizat...