The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Basudeb Bhatta - One of the best experts on this subject based on the ideXlab platform.
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Urban Growth Analysis and Remote Sensing - Urban Growth Analysis and Remote Sensing
SpringerBriefs in Geography, 2012Co-Authors: Basudeb BhattaAbstract:This chapter introduces the study and research focused in this book. It aims to describe the background, significance, and objectives of the research; overview, questions that are to be answered in the research, and methodological overview. This chapter, as expected from any research-based book, acts as a prelude to all other chapters. The background section briefs the Urban Growth, sprawl, and the importance of remote sensing data and GIS techniques in Urban Growth analysis. The significance section documents the importance of current research. Other three sections (research objectives, research questions and methodological overview) will help to shape the readers’ outlook on the research.
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Causes and Consequences of Urban Growth and Sprawl
Advances in Geographic Information Science, 2010Co-Authors: Basudeb BhattaAbstract:An overall idea about Urban Growth and sprawl has been provided in Chap. 1. This chapter is aimed to list the causes and consequences of Urban Growth and sprawl. The causes that force Growth in Urban area and the causes that are responsible for undesirable pattern or process of Urban Growth are also essentially important for the analysis of Urban Growth. The consequences or the impacts of Urban Growth, whether ill or good, are also necessary to be understood and evaluated towards achieving a sustainable Urban Growth.
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Limitations of Urban Growth Analysis
Advances in Geographic Information Science, 2010Co-Authors: Basudeb BhattaAbstract:This chapter is aimed to discuss several limitations of Urban Growth analysis in brief. Remote sensing data are challenged by spatial, spectral, radiometric, and temporal resolutions as explained in Chap. 4. In addition to these general resolution constrains, there are several other issues associated with Growth measurement and analysis.
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Modelling of Urban Growth boundary using geoinformatics
International Journal of Digital Earth, 2009Co-Authors: Basudeb BhattaAbstract:Abstract Urban Growth boundary (UGB) is a regulatory measure of local government for delineating limits of Urban Growth over a period of time. Land within the UGB allows Urban development, while the land outside of this boundary remains primarily non-Urban. The increasing popularity of UGB demands an easy and effective method to design this boundary. This article introduces a new concept, Ideal Urban Radial Proximity (IURP), to designate a spatial UGB using geoinformatics in the digital environment. The Kolkata Urban agglomeration was considered to demonstrate this model. Remotely sensed imageries of three temporal instants (years 1975, 1990 and 2005) were considered to determine the information on Urban extent and Growth of the city. These data were then used as inputs to model the UGB for the years 2020 and 2035. The proposed model discourages scattered development and increase in Urban Growth rate. It preserves Urban vegetation, water bodies and any other important non-Urban areas within the inner city...
Shinya Hanaoka - One of the best experts on this subject based on the ideXlab platform.
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Improvement of an Urban Growth Model for Railway-Induced Urban Expansion
Sustainability, 2020Co-Authors: Alvin C. G. Varquez, Shinya Hanaoka, Sifan Dong, Manabu KandaAbstract:Increasing population in Urban areas drives Urban cover expansion and spatial Growth. Developing Urban Growth models enables better understanding and planning of sustainable Urban areas. The SLEUTH model is an Urban Growth simulation model which uses the concept of cellular automata to predict land cover change using six spatial inputs of historical data (slope, land use, exclusion, Urban, transportation, and hill-shade). This study investigates the potential of SLEUTH to capture railway-induced Urban Growth by testing methods that can consider railways as input to the model, namely (1) combining the exclusion layer with a station map; (2) creating a new input layer representing stations in addition to the default six inputs. Districts in Tsukuba, Japan and Gurugram, India which historically showed evidence of Urban Growth by railway construction are investigated. Results reveal that both proposed methods can capture railway impact on Urban Growth, while the former algorithm under the right settings may perform better than the latter at finer resolutions. Coarser resolution representation (300-m grid-spacing) eventually reduces the differences in accuracy among the default SLEUTH model and the proposed algorithms.
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Spatio-temporal Urban Growth Modeling of Jaipur, India
Journal of Urban Technology, 2011Co-Authors: Pran Nath Dadhich, Shinya HanaokaAbstract:Urban Growth is a spatial and dynamic process that tends to increase the priority of Urban planning for developing cities with a fast growing population and economy. Unplanned and illegal Urban Growth degrades the quality of the Urban environment for city residents; therefore, adequate information and advanced technologies are required for better implementation of planning policies. The use of temporal data is indispensable for observing Urban Growth and for the planning of a city. The inclusion of remote sensing data is advantageous for mapping and monitoring Urban Growth in different periods. In this study, the Urban Growth of the city of Jaipur, with its spatial and temporal changes, was mapped over a period of 16 years (1989–2000 and 2000–2005) using Landsat satellite data. This study focuses on the further classification of the Urban areas into different categories on the basis of density, use, and association by implementing a rule-based classification system on remotely sensed data. The Markov meth...
Manabu Kanda - One of the best experts on this subject based on the ideXlab platform.
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Improvement of an Urban Growth Model for Railway-Induced Urban Expansion
Sustainability, 2020Co-Authors: Alvin C. G. Varquez, Shinya Hanaoka, Sifan Dong, Manabu KandaAbstract:Increasing population in Urban areas drives Urban cover expansion and spatial Growth. Developing Urban Growth models enables better understanding and planning of sustainable Urban areas. The SLEUTH model is an Urban Growth simulation model which uses the concept of cellular automata to predict land cover change using six spatial inputs of historical data (slope, land use, exclusion, Urban, transportation, and hill-shade). This study investigates the potential of SLEUTH to capture railway-induced Urban Growth by testing methods that can consider railways as input to the model, namely (1) combining the exclusion layer with a station map; (2) creating a new input layer representing stations in addition to the default six inputs. Districts in Tsukuba, Japan and Gurugram, India which historically showed evidence of Urban Growth by railway construction are investigated. Results reveal that both proposed methods can capture railway impact on Urban Growth, while the former algorithm under the right settings may perform better than the latter at finer resolutions. Coarser resolution representation (300-m grid-spacing) eventually reduces the differences in accuracy among the default SLEUTH model and the proposed algorithms.
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High-resolution global Urban Growth projection based on multiple applications of the SLEUTH Urban Growth model.
Scientific data, 2019Co-Authors: Yuerong Zhou, Alvin C. G. Varquez, Manabu KandaAbstract:As Urban population is forecast to exceed 60% of the world’s population by 2050, Urban Growth can be expected. However, research on spatial projections of Urban Growth at a global scale are limited. We constructed a framework to project global Urban Growth based on the SLEUTH Urban Growth model and a database with a resolution of 30 arc-seconds containing Urban Growth probabilities from 2020 to 2050. Using the historical distribution of the global population from LandScanTM as a proxy for Urban land cover, the SLEUTH model was calibrated for the period from 2000 to 2013. This model simulates Urban Growth using two layers of 50 arc-minutes grids encompassing global Urban regions. While varying Growth rates are observed in each Urban area, the global Urban cover is forecast to reach 1.7 × 106 km2 by 2050, which is approximately 1.4 times that of the year 2012. A global Urban Growth database is essential for future environmental planning and assessments, as well as numerical investigations of future Urban climates. Machine-accessible metadata file describing the reported data (ISA-Tab format)
Li Wenbi - One of the best experts on this subject based on the ideXlab platform.
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Urban Growth Control:Statistical Study and Theoretical Model
Urban Studies, 2007Co-Authors: Li WenbiAbstract:The research results Urban Growth control through more than 40years are reviewed in this paper. The result of the empirical study shows, Urban Growth control will raise the land price and house price through the amenity- creation. The theoretical models explain how Growth control affects the price of house price, and rising up of the house price will increase the wealth of existing residents especially the land owner in the city, but will decrease the wealth of other consumers or renters.
Terry Moore - One of the best experts on this subject based on the ideXlab platform.
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Assessing Urban Growth management ?: The case of Portland, Oregon, the USA's largest Urban Growth boundary
Land Use Policy, 1993Co-Authors: Arthur C. Nelson, Terry MooreAbstract:Many states in the USA attempt to manage Urban Growth so that development is directed to Urban areas equipped to accommodate development, and rural lands are preserved for resource and other non-Urban uses. The state of Oregon is entering its third decade of what many commentators describe as the nation's most aggressive Urban Growth management programme administered statewide. This article reports a recent evaluation of the effectiveness of the state Urban Growth management policies as they are implemented by the metropolitan Portland area. The metropolitan Portland area contains the largest population, employment and land base within a single Urban Growth boundary in the USA. Using primary data collection and analysis, the effectiveness of the Urban Growth management and resource land preservation effort is assessed. Nearly all regional development has been directed to the Urban Growth boundary and away from resource lands. Many problems with administration are found, however. Policy implications are suggested.
