A constrained cellular automata (CA) model based on 'grey cells' for the simulation of different types of urban forms and developments is developed within a raster GIS. Remote sensing and GIS are used to supply information on environmental constraints and locations of growth centers for the...

The spatial distribution and locational characteristics of land development have changed dramatically in Chinese cities since the land reform of 1987 which allowed the paid transfer of land-use rights—i.e. land leasing. This has led to the rapid transformation of the urban spatial...

Short-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic dynamics that can benefit the forecasting of...

Most cellular automata (CA) urban models assume densities to be uniform for all cells. This is not true in real cities because densities vary substantially from city to city and from urban center to periphery areas. Development density, which affects urban form, is an important factor in urban...

This paper presents a new cellular automata (CA) model which uses artificial neural networks tlsbfor both calibration and simulation. A critical issue for urban CA simulation is how to determine parameter values and define model structures. The simulation of real cities involves the use of many...

In the rapidly growing literature on urban development in China, many authors have emphasised the salient features of economic decentralisation and the increasingly significant role of the local state. However, such arguments neglect a counter-trend in which the central state has...