Using the Sleuth Urban Growth Model to Simulate the Impacts of Future Policy Scenarios on Urban Land Use in the Baltimore-Washington Metropolitan Area

Jantz, Claire A.; Goetz, Scott J.; Shelley, Mary K

doi:10.1068/b2983

Cited by 266 publications

(203 citation statements)

References 20 publications

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“…However, the SLEUTH model can't simulate the effect of social and economic factors on urban land use [1]. To make up for this shortage, applying the SLEUTH model to simulate the future urban growth often introduces different scenarios modes, so as to provide a decision-making basis for urban development [38,45]. The two scenario modes put forward in this paper are different from the previous scenario modes, which are usually unprotected, light protected, moderate protected, and heavily protected modes [43,44].…”

Section: Discussionmentioning

confidence: 99%

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Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Shi

2017

Sustainability

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Abstract:The SLEUTH model is one of the recent methodological advances, but its data sources are mainly interpreted from remote sensing images. It doesn't cover the whole urban area and exhibits technical errors. Moreover, the relationships between land use and land cover change (LUCC) and sustainability have seldom been discussed. Aimed at addressing these shortcomings, we focus on a wider range and use different data sources to simulate and predict the boundary of urban construction land expansion, and analyze the relationship between the expansion style of urban land and the change of ecological service value. Based on Shanghai land use map data, which covers the whole city scope and eliminates the error in data processing, we use a SLEUTH model to simulate the urban growth mode in Shanghai in 2020 under two scenarios, i.e., the natural growth mode and ecological priority mode, which are different from the previous scenario modes such as unprotected, light protected, moderately protected, and heavily protected modes. The results are as follows:(1) The development of urban land in Shanghai is most reasonable under the ecological priority mode as its ecological service value is higher than that of the natural growth mode; (2) Construction land expansion in Shanghai is very slow under the ecological priority mode, wherein construction land growth mainly occurs in the northwest, southwest, and southeast of Shanghai, and the northwest part of Chongming Island; (3) The surrounding area of the central city is given priority over edge growth, where the growth range is small. The outer suburbs are given priority for widespread growth, which is synchronous with the slow growth of roads.

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Section: Discussionmentioning

confidence: 99%

“…The accuracy of the SLEUTH model to predict urban land growth depends on urban development in the past and parameter calibration, and parameter calibration is based on the land use change of the urban historical period [21,38]. The previous data sources of LUCC are mainly interpreted from remote sensing images using technical means.…”

Section: Discussionmentioning

confidence: 99%

Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Shi

2017

Sustainability

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“…Creates new land use scenarios that reflect alternative development concepts for the future. (3) spread; (4) slope resistance; and (5)"road gravity"(road-influenced growth) (Jantz et al 2003;Clarke et al 1997). …”

Section: Population Growth Methodsmentioning

confidence: 99%

Planning and management modeling for treated wastewater usage

Ahmadi

Merkley

2009

Irrig Drainage Syst

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Two computational models, including several calculation and analysis submodels, were developed to create a tool for assessing the impact of different treated wastewater reuse options on irrigated agriculture. The models consider various aspects of treated wastewater availability (past, present, and future), wastewater quality, agricultural water demand, and the economics of conveying wastewater from treatment plants to farms. The two models were implemented using Visual BASIC.NET in a GIS environment to facilitate visualization of some of the features of an area under study, and to provide a convenient interface for user application. One of the models is for treated wastewater availability calculations, and the other is for wastewater reuse.The water availability model has sub-models including urban population predictions, agricultural land use changes, residential water demand, agricultural water demand (evapotranspiration) for over 40 crop types, and treated wastewater analysis.The water reuse model is composed of three sub-models, including soil water and salt iii balance calculations, nutrient calculations, and pumping and conveyance costs calculations. The nutrient calculationssub-model is based on an existing model, but was completely rewritten and modified in some parts to accommodate the needs and features of the water reuse model presented herein.A sample application of the models is presented for Cache Valley, Utah. The results show a comparison of treated wastewater reuse schemes for the study area, highlighting how irrigated agriculture would best benefit from the total or partial use of treated wastewater. Two wastewater reuse scenarios were considered. The water availability model shows good agreement with other sources of information in terms of population forecast and calculation of future residential and agricultural water demand.However, according to the results from the model, the rate of increase of the urban area was much higher than the rate of decrease of the agricultural areas between the years 1992 and 2001.The future population growth and water demand increases for urban areas was calculated and validated for Logan City. Also, in the case studythe model was shown to be a good tool for wastewater influent analysis for Logan City. Both of the models were successfully developed, tested, and validated (for a case study in Utah) as part of this research.

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“…Urban change maps; Simulation of urban growth Jantz et al (2003), Xian and Cran(2005), Shao and Liu(2014), Sunde et al(2014) Kuang et al(2014), Wu and Thompson (2013), Nie et al(2015a), Nie et al(2015b) Although these techniques have proven effective to some degree when applied to ISFs, several problems still exist:…”

Section: More Than Two Imagesmentioning

confidence: 99%

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Shahtahmassebi

Song

Zheng

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

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A substantial body of literature has accumulated on the topic of using remotely sensed data to map impervious surfaces which are widely recognized as an important indicator of urbanization. However, the remote sensing of impervious surface growth has not been successfully addressed. This study proposes a new framework for deriving and summarizing urban expansion and re-densification using time series of impervious surface fractions (ISFs) derived from remotely sensed imagery. This approach integrates multiple endmember spectral mixture analysis (MESMA), analysis of regression residuals, spatial statistics (Getis_Ord) and urban growth theories; hence, the framework is abbreviated as MRGU. The performance of MRGU was compared with commonly used change detection techniques in order to evaluate the effectiveness of the approach. The results suggested that the ISF regression residuals were optimal for detecting impervious surface changes while Getis_Ord was effective for mapping hotspot regions in the regression residuals image. Moreover, the MRGU outputs agreed with the mechanisms proposed in several existing urban growth theories, but importantly the outputs enable the refinement of such models by explicitly accounting for the spatial distribution of both expansion and re-densification mechanisms.Based on Landsat data, the MRGU is somewhat restricted in its ability to measure re-densification in the urban core but this may be improved through the use of higher spatial resolution satellite imagery. The paper ends with an assessment of the present gaps in remote sensing of impervious surface growth and suggests some solutions. The application of impervious surface fractions in urban change detection is a stimulating new research idea which is driving future research with new models and algorithms.

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Using the Sleuth Urban Growth Model to Simulate the Impacts of Future Policy Scenarios on Urban Land Use in the Baltimore-Washington Metropolitan Area

Cited by 266 publications

References 20 publications

Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Planning and management modeling for treated wastewater usage

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

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