The objective of this paper is to develop and implement a Cellular Automata (CA) algorithm to simulate urban growth process. Indianapolis city, Indiana is selected as a case study to simulate its urban growth over the last three decades. Urban growth simulation for an artificial city is carried out first. It evaluates a number of urban sprawl parameters including the size and shape of neighborh...

Analyzing spatiotemporal characteristics of the historical urbanization process is essential in understanding the dynamics of urbanization and scientifically planned urban development. Based on historical urban area maps and remote sensing images, this study examined the urban expansion of Shenyang from 1910 to 2010 using area statistics, typology identification, and landscape metrics approache...

We used the SLEUTH urban growth model, closely coupled with a land transition model, to simulate future urban growth in the Houston metropolitan area, one of the fastest growing metropolises in the United States during the past three decades. The model was calibrated with historical data extracted from a time series of satellite images. Three specific scenarios are designed to simulate the spat...

We study the extent to which responses in urban redevelopment density to demand shocks contribute to population growth, taking into account urban land expansions independent of demand shocks and changes in housing absorption by existing urban households. In the context of Chinese urban growth from 1998 to 2004 when liberalization in urban housing and labor markets significantly elevated labor m...

urbanization agglomeration that is named jacobs externalities, refers to the role of economic diversification in urban. localization agglomeration, marshal-arrow-romer (mar) externalities, is related to the concentration of firms activated in a special industry within a specified place. the purpose of this research is to explore the impact of different types of agglomeration economies on employ...

Cities in developing countries are facing serious problems as a result of rapid urban population growth. Not the least of these problems is the creation of environmental stresses at the rural-urban fringe of these cities as they increase in area and envelop fertile surrounding agricultural lands. Because of this rapid rate of growth, sustainable urban environmental management (SUEM) policies an...

This paper presents a research that integrates remote sensing, GIS, and dynamic spatial modeling for predicting urban spatial growth with different development conditions considered. The study area has been a fast growing American metropolis. The prediction is based on a cellular automate urban growth model governed by a set of complex transition rules combining both socio-economic and biophysi...

A methodology is developed to relate urban growth studies to distributed hydrological modeling using an integrated approach of remote sensing and GIS. This linkage is possible because both studies share land-use and land-cover data. Landsat Thematic Mapper data are utilized to detect urban land-cover changes. GIS analyses are then conducted to examine the changing spatial patterns of urban grow...

This research explores urban growth based scenarios for the city of Nairobi using a cellular automata urban growth model (UGM). African cities have experienced rapid urbanization over the last decade due to increased population growth and high economic activities. We used multi-temporal Landsat imageries for 1976, 1986, 2000 and 2010 to investigate urban land-use changes in Nairobi. Our UGM use...