Nature of Inner Asia
Bibliographic description:
, , , , , , , URBAN SPATIAL EXPANSION PREDICTION USING SLEUTH (THE CASE OF DARKHAN CITY MONGOLIA) // Nature of Inner Asia. - 2022. №2-3(21). . - С. 101-104.
Title:
URBAN SPATIAL EXPANSION PREDICTION USING SLEUTH (THE CASE OF DARKHAN CITY MONGOLIA)
Financing:
Munkhnaran Sugar, Chinbat Badamdorj, Myagmartseren Purevtseren et al. Urban Spatial Expansion Prediction Using SLEUTH (the case of Darkhan city, Mongolia). Nature of Inner Asia. 2022; 2–3(21): 101–114. DOI: 10.18101/2542-0623-2022-2/3-101-114
Codes:
Annotation:
The aim of this study is to simulate the urban sprawl of Darkhan city and to predict future urban expansion using the SLEUTH CA model. The model performs mathematical calculations based on the historical change in urban growth from the past to the present and models future trends using 8 expansion indices and 5 coefficients.The spatial expansion of Darkhan city is expected to increase steadily by 1%, and the rate of expansion is expected to decline between 2035 and 2040 due to the impact of land resources and constraints. The SLEUTH model presented an edge growth that accounts for about 95% of the total expansion.
Keywords:
SLEUTH, urban sprawl,urban spatial expansion, simulation, prediction.
List of references:
Batty M. (2005). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. Cambridge: England.
Bihamta N., Soffianian A., Fakheran S., & Gholamalifard M. (2014). Using the SLEUTH Urban Growth Model to Simulate Future Urban Expansion of the Isfahan Metropolitan Area, Iran. J Indian Soc Remote Sens. doi:10.1007/s12524-014-0402-8
Burchell R., & Galley C. (2003). Projecting Incidence and Costs of Sprawl in the United States. Transportation Research Record.
Briassoulis, H. (2000). Analysis of Land Use Change: Theoretical and Modeling Approaches. PhD Thesis in Geography. Levos, Greece: University of Aegean.
Clarke K., & Gaydos L. (1998). Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12(7): 699–714.
Clarke K., Hoppen S., & Gaydos L. (1997). A Slef-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24(2): 7–14.
Ewing R. (1997). Is Los Angelos-style sprawl desirable? Journal of the American Planning Association, 63(1): 107–126.
Grimm N., Grove J., Pickett S., & Redman C. (2000). Integrated Approaches to Longterm Studies of Urban Ecological Systems. Bioscience, 50: 571–584.
Hasse J., & Lathrop R. (2003). Land Resources Impact of Urban Sprawl. Applied Geography, 23: 159–175.
Jantz C., Goetz S., Donato D., & Claggett P. (2009). Designing and Implementing a Regional Urban Modelling System Using the SLEUTH Cellular Urban Model. Computer, Environment and Urban System, 34: 1–16.
Oguz H., Klein A., & Srinivasan R. (2007). Using the Sleuth Urban Growth Model to Simulate the Impacts of Future Policy Scenarios on Urban Land Use in the Houston-Galveston- Brazoria CMSA. Research Journal of Social Sciences, 1: 72–82.
Queslati, W., Alvanides, S., & Garrod, G. (2015). Determinanats of urban sprawl in European cities. Urban Studies, 52(9), 1594–1614.
Quezada R. C., Olivera M. I., & Vilalta J. P. (2009). Cartography and Spatial Analysis of Urban Sprawl. 24th International Cartographic Conference.
Rui Y. (2013). Urban Growth Modeling Based on Land-use Changes and Road Network Expansion. Stockolm, Sweden: Royal Institute of Technology.
Onstead J., & Clarke K. (2011). Forecasting Enrollment in Differential Assessment Programs Using Cellular Automata. Environment and Planning B: Planning and Design, 38(5): 829–849.
Sierra Club. (1999). The dark side of the American Dream: The Costs and Consequences of Suburban Sprawl. San Francisco: CA.
Silva E., & Clarke K. (2002). Calibration of the SLEUTH Urban Growth Model for Lisbon and Porto, Portugal. Computers, Environment & Urban Systems, 26, 525–552.
Squires G. D. (2002). Urban Sprawl: Causes, Consequences & Policy Responces.
Washington DC: The Urban Institute Press.
Bihamta N., Soffianian A., Fakheran S., & Gholamalifard M. (2014). Using the SLEUTH Urban Growth Model to Simulate Future Urban Expansion of the Isfahan Metropolitan Area, Iran. J Indian Soc Remote Sens. doi:10.1007/s12524-014-0402-8
Burchell R., & Galley C. (2003). Projecting Incidence and Costs of Sprawl in the United States. Transportation Research Record.
Briassoulis, H. (2000). Analysis of Land Use Change: Theoretical and Modeling Approaches. PhD Thesis in Geography. Levos, Greece: University of Aegean.
Clarke K., & Gaydos L. (1998). Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12(7): 699–714.
Clarke K., Hoppen S., & Gaydos L. (1997). A Slef-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24(2): 7–14.
Ewing R. (1997). Is Los Angelos-style sprawl desirable? Journal of the American Planning Association, 63(1): 107–126.
Grimm N., Grove J., Pickett S., & Redman C. (2000). Integrated Approaches to Longterm Studies of Urban Ecological Systems. Bioscience, 50: 571–584.
Hasse J., & Lathrop R. (2003). Land Resources Impact of Urban Sprawl. Applied Geography, 23: 159–175.
Jantz C., Goetz S., Donato D., & Claggett P. (2009). Designing and Implementing a Regional Urban Modelling System Using the SLEUTH Cellular Urban Model. Computer, Environment and Urban System, 34: 1–16.
Oguz H., Klein A., & Srinivasan R. (2007). Using the Sleuth Urban Growth Model to Simulate the Impacts of Future Policy Scenarios on Urban Land Use in the Houston-Galveston- Brazoria CMSA. Research Journal of Social Sciences, 1: 72–82.
Queslati, W., Alvanides, S., & Garrod, G. (2015). Determinanats of urban sprawl in European cities. Urban Studies, 52(9), 1594–1614.
Quezada R. C., Olivera M. I., & Vilalta J. P. (2009). Cartography and Spatial Analysis of Urban Sprawl. 24th International Cartographic Conference.
Rui Y. (2013). Urban Growth Modeling Based on Land-use Changes and Road Network Expansion. Stockolm, Sweden: Royal Institute of Technology.
Onstead J., & Clarke K. (2011). Forecasting Enrollment in Differential Assessment Programs Using Cellular Automata. Environment and Planning B: Planning and Design, 38(5): 829–849.
Sierra Club. (1999). The dark side of the American Dream: The Costs and Consequences of Suburban Sprawl. San Francisco: CA.
Silva E., & Clarke K. (2002). Calibration of the SLEUTH Urban Growth Model for Lisbon and Porto, Portugal. Computers, Environment & Urban Systems, 26, 525–552.
Squires G. D. (2002). Urban Sprawl: Causes, Consequences & Policy Responces.
Washington DC: The Urban Institute Press.
Article.pdf