You are looking at 1 - 3 of 3 items

  • Author or Editor: Anthony G.O. Yeh x
Clear All Modify Search
You do not have access to this content

Xia Li and Anthony G.O. Yeh

The past three decades have witnessed the rapid development of geosimulation technology, such as cellular automata (CA) and agent-based modelling (ABM), for solving various geographical problems in rapidly growing regions. This chapter summarizes the main applications of CA for researchers and decision-makers to solve the environmental and planning problems associated with urban sprawl, illegal development and improper facility sitting. An integrated CA-based model, the Geographical Simulation and Optimization System (GeoSOS), has been applied to tackle a wide spectrum of environmental and resource management issues, such as the zoning of basic farmland protection areas, coupling land-use dynamics with facility sitting, and delineation of urban growth boundaries. Our studies have shown that CA models are capable of evaluating land-use policies and predicting illegal developments for early warning purposes. The simulation of using CA provides valuable experiences for urban researchers and planners to solve a series of simulation and planning problems in fast-growing regions.

You do not have access to this content

Anthony G.O. Yeh, Yang Yue, Xingang Zhou and Qi-Li Gao

Many countries have been implementing plans for smart-city development in recent years. However, how to plan a smart city effectively is still a big issue deserving further exploration. This chapter reviews the use of big data, such as mobile-phone data and transit smart-card data, which can capture spatial–temporal movement of people in a city to support the planning of smart cities. The chapter reviews how big data are captured, pre-processed and analysed. It then discusses how big data can advance our knowledge in the planning of smart cities with three examples: the study of urban structure, jobs–housing balance and low-to-moderate income group spatial distribution relating to housing policy.