Delimiting Urban Growth Boundary through Combining Land Suitability Evaluation and Cellular Automata
نویسندگان
چکیده
China’s domestic urban planning only worked on researches of urban space control, the scope definition of urban development is not clear enough. The purpose of this study is to present a new urban growth boundary (UGB) delimitation method which combined land suitability evaluation (LSE) and cellular automata (CA). This method gave credence to LSE’s advantage in sustainable land use, and CA’s advantage in objective dynamic simulation. The ecological limitation areas were defined by LSE, which were regarded as the restricted areas of urban growth; meanwhile, it was taken as an important model input to guide intensive land allocation in urban growth model (CA model). The future urban growth scenarios were predicted by CA model and the corresponding UGB lines were delineated by ArcGIS 10.1. The results indicated that this method had good performance in Ningbo’s urban growth simulation. When compared to the planned UGB in urban master planning, the simulated UGBs under port development and regulated scenarios showed more intensive and suitable spatial layout of land. Besides, the simulated UGB under regulated scenario had the most reasonable space structure and the largest ecological protection effect among the UGBs. Hence, the simulated UGBs were superior to the planned UGB. The study recommends that this UGB delimitation method can promote sustainability of land development and ecological environment in Chinese cities.
منابع مشابه
Simulation and Evaluation of Urban Development Scenarios Using Integration of Cellular Automata Model and Game Theory
Urban growth is a dynamic and evolutionary spatial and social process that relates to the changes of urban spatial units and the transformation of people’s lifestyles and consequently demographic changes. Considering the urban development process as a function of land uses interactions, population structure and the strategic behavior of the agents involved in the urban development process (the ...
متن کاملبررسی آثار ناشی از توسعه شهر بر مطلوبیت پهنههای حفاظتی با رویکرد سیمایسرزمین (مطالعه موردی: حوزه آبخیز کرگانرود)
Urbanization is one of the most significant global changes. The rapid growth in urban area isimposing high pressure to land and their resources. With regard to various ecological services of the Hyrcanian ecosystems and the necessity to conserve them, this research aimed to investigate the growth trend of urban areas and their impacts on land suitability of the conservational patches in Korga...
متن کاملAnalyzing and modeling urban sprawl and land use changes in a developing city using a CA-Markovian approach
Mashhad City, according to the latest official statistics of the country is the second populated city after Tehran and is the biggest metropolis in the east of Iran. Considering the rapid growth of the population over the last three decades, the city’s development area has been extended, significantly. This significant expansion has impacted natural lands on suburb and even some parts e.g. rang...
متن کاملPredicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis
Toronto’s Census Metropolitan Area (CMA) has faced on-going challenges concerning its demographic shifts in the urban and rural fringe tending to become a megacity over the coming decades, due to rapid population increase and urban amalgamation. For this research we examine past urban land use transitions in Toronto’s CMA based on collected remote sensing data between 1973 and 2010. A Markov Ce...
متن کاملThe SLEUTH Land Use Change Model: A Review
Land use change is driven by interaction in space and time between humans and the environment that can be captured by computer simulation models (Veldkamp and Verburg, 2004). In the last few decades, land use change models have played an important role in understanding the causes, mechanisms and consequences of land use dynamics. SLEUTH is an open source cellular automata based land use change ...
متن کامل