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• Urban dynamics and urban sprawl in hill stations of India: a case study of Shillong city

  1-10

  F Phibawanlang Kharpran

  Subrata Purkayastha

  Views:

  150

  The hill stations of India are remnants of colonial past built by the British where the scenic landscape and climate similar to Britain attracted the British to set up cantonments and sanatoriums for the British troops and their families. Shillong City whose origin dates back to the 19^th century, was the British capital of Assam Province, the administrative seat of undivided Assam after India’s Independence and at present the capital of Meghalaya. The city’s growth resulted from the continuous influx of population to fulfil the changing socio-economic and political dynamics of the city.  This hill station was built by the British with a vision to house a population of less than one lakh. It was then a cluster of a few scattered hamlets, which at present has grown tremendously with 12 contiguous urban units forming the Shillong Urban Agglomeration (SUA). With the help of RS -GIS using Shannon entropy technique as a landscape metric, the urban sprawl of Shillong has been measured from the year 1991 to 2001.The rapid growth has led to an urban sprawl which poses various challenges to the city’s environment.

• A spatio-temporal urban expansion modeling a case study Teheran metropolis, Iran

  10-19

  Sassan Mohammady

  Views:

  143

  During the past decades, urban growth has been accelerating with the massive immigration of population to cities. Urban population in the world was estimated as 2.9 billion in 2000 and predicted to reach 5.0 billion in 2030. Rapid urbanization and population growth have been a common phenomenon, especially in the developing countries such as Iran. Rapid population growth, environmental changes and improper land use planning practices in the past decades have resulted in environmental deterioration, haphazard landscape development and stress on the ecosystem structure, housing shortages, insufficient infrastructure, and increasing urban climatological and ecological problems. In this study, urban sprawl assessment was implemented using Shannon entropy and then, Artificial Neural Network (ANN) has been adopted for modeling urban growth. Our case study is Tehran Metropolis, capital of Iran. Landsat imageries acquired in 1988, 1999 and 2010 are used. According to the results of sprawl assessment for this city, this city has experienced sprawl between 1988 to 2010. Dataset include distance to roads, distance to green spaces, distance to developed area, slope, number of urban cells in a 3 by 3 neighborhood, distance to fault and elevation. Relative operating characteristic (ROC) method have been used to evaluate the accuracy and performance of the model. The obtained ROC equal to 0.8366.