Urban Sprawl: A Case Study for Project Gigalopolis Using SLEUTH Model

2006 ◽  
pp. 436-445 ◽  
Author(s):  
Matteo Caglioni ◽  
Mattia Pelizzoni ◽  
Giovanni A. Rabino
Keyword(s):  
Urban Sprawl ◽  
Sleuth Model

scholarly journals Manifestation of Remote Sensing Data in Modeling Urban Sprawl Using the SLEUTH Model and Brute Force Calibration: A Case Study of Sana’a City, Yemen

2012 ◽  
Vol 41 (2) ◽  
pp. 405-416 ◽  
Author(s):  
Mohamed Al-shalabi ◽  
Biswajeet Pradhan ◽  
Lawal Billa ◽  
Shattri Mansor ◽  
Omar F. Althuwaynee
Keyword(s):  
Remote Sensing ◽  
Urban Sprawl ◽  
Remote Sensing Data ◽  
Brute Force ◽  
Sensing Data ◽  
Sleuth Model ◽  
Force Calibration

scholarly journals Determinants of urban sprawl in Latin America: evidence from Santiago de Chile

2021 ◽  
Vol 1 (8) ◽  
Author(s):  
Cristian Silva ◽  
Francisco Vergara-Perucich
Keyword(s):  
Latin America ◽  
Urban Sprawl ◽  
Capital City ◽  
Design And Implementation ◽  
Policy Context ◽  
Santiago De Chile ◽  
City Regions ◽  
Policy Frameworks ◽  
Social And Environmental Impacts

AbstractUrban sprawl has been widely discussed in regard of its economic, political, social and environmental impacts. Consequently, several planning policies have been placed to stop—or at least restrain—sprawling development. However, most of these policies have not been successful at all as anti-sprawl policies partially address only a few determinants of a multifaceted phenomenon. This includes processes of extended suburbanisation, peri-urbanisation and transformation of fringe/belt areas of city-regions. Using as a case study the capital city of Chile—Santiago—thirteen determinants of urban sprawl are identified as interlinked at the point of defining Santiago's sprawling geography as a distinctive space that deserves planning and policy approaches in its own right. Unpacking these determinants and the policy context within which they operate is important to better inform the design and implementation of more comprehensive policy frameworks to manage urban sprawl and its impacts.

Measuring Urban Sprawl, Coalescence, and Dispersal: A Case Study of Pordenone, Italy

2011 ◽  
Vol 38 (6) ◽  
pp. 1085-1104 ◽  
Author(s):  
Federico Martellozzo ◽  
Keith C Clarke
Keyword(s):  
Urban Sprawl

scholarly journals ASSESSMENT OF URBAN SPRAWL USING SHANNON’S ENTROPY AND FRACTAL ANALYSIS: A CASE STUDY OF ATAKUM, ILKADIM AND CANIK (SAMSUN, TURKEY)

2017 ◽  
Vol 25 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Derya OZTURK
Keyword(s):  
Urban Sprawl ◽  
Fractal Analysis ◽  
Urban Form ◽  
Entropy Method ◽  
Shannon’S Entropy ◽  
Analysis Method ◽  
Maximum Likelihood Classification ◽  
Shannon's Entropy ◽  
Box Counting

Urban sprawl is one of the most important problems in urban development due to its negative environmental and societal impacts. Therefore, the spatial pattern of urban growth should be accurately analyzed and well understood for effective urban planning. This paper focuses on urban sprawl analysis in the Atakum, Ilkadim and Canik districts of Samsun, Turkey. In this study, urban sprawl was examined over a period of 24 years using Shannon's entropy and fractal analysis based on remote sensing and Geographic Information System (GIS). The built-up areas in 1989, 2000 and 2013 were extracted from Landsat TM/ETM+/OLI images using the maximum likelihood classification method, and urban form changes in the 1989–2013 period were investigated. The Shannon's entropy method was used to determine the degree of urban sprawl, and a fractal analysis method based on box counting was used to characterize the urban sprawl. The results show that Atakum, Ilkadim and Canik experienced important changes and have considerable sprawl and complex characteristics now. The study also revealed that there is no monotonic relationship between Shannon's entropy and fractal dimension.

scholarly journals Urban Sprawl and its Effects on Environment and Farmland a Timisoara Case Study

2014 ◽  
Vol 71 (1) ◽  
pp. 18-25
Author(s):  
Smaranda BICA ◽  
Diana BELCI
Keyword(s):  
Urban Sprawl ◽  
Agricultural Land ◽  
Growth Management ◽  
Developed Countries ◽  
East European ◽  
Development Policies ◽  
The Developed Countries ◽  
American Cities

Urban sprawl has been plaguing Western European and American cities for the last 70 years. One has fought against this phenomenon all over the world with a combination of strategic planning and urban regulations, focusing on growth management, sustainable development and preservation of farmland. East European cities, Romanian cities included, have been rapaciously consuming the free natural and agricultural land around them, without long-term development policies. The aim of this paper is analyzing urban sprawl around Timișoara and finding efficient ways of economizing urban and rural land. The article is based on several urban studies, statistical and traffic data showing the magnitude of the phenomenon and its dramatic effects on the environment.The European Union required to recent members to follow the path set by the developed countries, even if their economies have a system more or less centralized inherited from communism. It is still unclear who should be responsible for urban planning; the rules and regulations are made along the way, while the investors’ pressure is huge. Meanwhile extended rural and agricultural land might be destroyed. Most politicians do not acknowledge this problem as they approve further expansion into farmland without any previous planning. This paper might be just tackling this subject, but its target should be making urban sprawl more visible, understanding its dimension and dramatic effects around Romanian cities.

scholarly journals URBAN SPRAWL IN SMALL CITIES, ANALYSIS OF THE MUNICIPALITY OF SÃO PEDRO (SP): POTENTIALS AND CONSTRAINS

2013 ◽  
pp. 64-73 ◽  
Author(s):  
Priscila Carrara Fracassi ◽  
José Augusto Lollo
Keyword(s):  
Data Collection ◽  
Present Article ◽  
Urban Sprawl ◽  
Field Work ◽  
Limiting Factors ◽  
Soil Conditions ◽  
Mass Movements ◽  
Small Cities ◽  
Natural Factors

Urban sprawl in small cities has led to the occupation of unsuitable areas, resulting in peripheralization and in the occupation of fragile environments. In these occupations, the physical characteristics of the environment are often disrespected. In this context, the present article reports on a case study in the municipality of São Pedro, state of São Paulo, Brazil, which presents and discuss a set of natural factors (geological and geomorphological) conditioning the occurrence of erosion and gravitational mass movements, which are limiting factors for urban sprawl. The methodology employed in this study was based on field work, bibliographic research, and data collection, analysis and GIS-based systematization, which allowed for a spatial reading of the urban sprawl to indicate, from different perspectives, how the phenomenon is manifested. Thus, it was possible to draw up a chart highlighting the areas with the greatest potential for occupation and those with restrictions due to their greater susceptibility to erosion and mass movements. The main identified natural factors of restriction were steepness and soil conditions and law enforced restrictions (environmental protection areas).

Land reclamation and reuse of waste water on the backdrop of urban sprawl of Kolkata metropolitan: a case study of East Kolkata, Wetland, India

2021 ◽  
pp. 557-579
Author(s):  
Pankaj Kumar Roy ◽  
Malabika Biswas Roy ◽  
Sritama Chatterjee ◽  
Sudipa Halder ◽  
Swetasree Nag ◽  
...  
Keyword(s):  
Waste Water ◽  
Urban Sprawl ◽  
Land Reclamation ◽  
East Kolkata Wetland

Measuring urban sprawl and exploring the role planning plays: A shanghai case study

2017 ◽  
Vol 67 ◽  
pp. 426-435 ◽  
Author(s):  
Li Tian ◽  
Yongfu Li ◽  
Yaqi Yan ◽  
Boyi Wang
Keyword(s):  
Urban Sprawl

Simulating the urban growth dimensions and scenario prediction through sleuth model: a case study of Rasht County, Guilan, Iran

GeoJournal ◽  
2013 ◽  
Vol 79 (5) ◽  
pp. 591-604 ◽  
Author(s):  
Sadeq Dezhkam ◽  
Bahman Jabbarian Amiri ◽  
Ali Asghar Darvishsefat ◽  
Yousef Sakieh
Keyword(s):  
Urban Growth ◽  
Sleuth Model ◽  
Scenario Prediction
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