Urban growth models have been used for decades to forecast urban development in metropolitan areas. Since the 1990s cellular automata, with simple computational rules and an explicitly spatial architecture, have been heavily utilized in this endeavor. One such cellularautomata-based model, SLEUTH, has been successfully applied around the world to better understand and forecast not only urban gr...

The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet there are still some very basic quest...

Although substantial studies emphasized the close relationship among land development, public infrastructure, and urban economic growth, the mediating effect of public infrastructure remains unexplored. Using panel data of 253 prefecture-level Chinese cities from 1999 to 2012, we empirically conduct a mediating effect analysis to examine how land development promotes urban economic growth. It i...

Does entrepreneurship cause urban economic growth and if so how large is the impact? Empirical analysis of such question is hampered by endogeneity. This paper uses two different sets of variables – the homestead exemption levels in state bankruptcy laws from 1975 and the share of MSA overlaying aquifers to instrument for entrepreneurship and examine urban growth between 1993 and 2002. Despite ...

Predicting urban growth is important for practical reasons, and also for the challenge it presents to theoretical frameworks for cluster dynamics [1–3]. Recently, the model of diffusion limited aggregation (DLA) [4,5] has been applied to describe urban growth [1], and results in tree-like dendritic structures which have a core or “central business district” (CBD). The DLA model predicts that th...

Modelling urban dynamics is mostly pronounced in metropolitan areas, where spatial information science could contribute to efforts of understanding the pattern and future characteristics. This paper discusses the past, current and future trend of land-use dynamics of European part of the Istanbul Metropolitan. Studies on urban growth modelling state that, there is no consensus on the selection ...

Performance evaluation is crucial for the development and improvement of an urban cellular automata model, such as SLEUTH. In this paper, we employed multiple methods for map comparison andmodel validation to evaluate the simulation performance of the SLEUTH urban growth model in the Shenyang metropolitan area of China. These multiple methods included the relative operating characteristic (ROC)...

Analysis of urban distribution and its expansion using remote sensing data has received increasing attention in the past three decades, but little research has examined spatial patterns of urban distribution and expansion with buffer zones in different directions. This research selected Hangzhou metropolis as a case study to analyze spatial patterns and dynamic changes based on time-series urba...

Urban remote sensing research and approaches to modelling residential mobility focus predominantly on growth patterns. In this paper, the phenomenon of extreme urban decline, named ‘shrinkage’, is scrutinised. The different characteristics of urban decline are illuminated using a multi-scale approach. Selected patterns of the spatial growth and shrinkage are first calculated by means of satelli...