期刊
ECOLOGICAL INDICATORS
卷 93, 期 -, 页码 952-965出版社
ELSEVIER
DOI: 10.1016/j.ecolind.2018.05.036
关键词
Urban hard boundary; Urban soft boundary; Artificial neural network; Boundary demarcation; Landscape metrics
资金
- University Grant Commission NET-JRF fellowship
- Iran National Science Foundation [96004000]
Urban sprawl is a major barrier for the precise demarcation of administrative boundary in the world. In India, medium and small towns have so far developed outside the envisaged planning, resulting in a leapfrog and haphazard growth. This paper has attempted to simulate the spatial extent of urban expansion and boundary demarcation for the purpose of efficient urban planning and land resource management. An Artificial Neural Network (ANN) model and a set of landscape metrics were used to delineate the Urban Growth Boundary (UGB) and characterize the future patterns of growth in Siliguri Municipal Corporation (SMC, India). In particular, two urban boundaries - namely, Urban Hard Boundary (UHB) and Urban Soft Boundary (USB) - were simulated. The results suggest a USB with the area of 123 km(2) to address the basic service delivery and a UHB with the area of 211.88 km(2) to manage the ecological fragmentation.
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