Evaluating the strategy of decentralized urban land-use planning in a developing region

Sakieh, Yousef; Salmanmahiny, Abdolrassoul; Jafarnezhad, Javad; Mehri, Azade; Kamyab, Hamidreza; Galdavi, Somayeh

doi:10.1016/j.landusepol.2015.07.004

Cited by 93 publications

(33 citation statements)

References 38 publications

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“…Such findings are in line with similar coastal studies (Sakieh et al, 2015;Sekovski et al, 2015). In other words, urban growth is likely to take place around current settlements in a compact fashion.…”

Section: Urban Growth and Coastal Hazardssupporting

confidence: 91%

“…The authors evaluated different combinations of the 13 metrics and found that OSM contributes to more accurate and superior predictions than single-metric approaches. Recent studies have furthermore suggested OSM's robustness (Jantz et al, 2010;Sakieh et al, 2015). Hence, it was applied in this work to narrow parameter ranges after each stage.…”

Section: Model Calibrationmentioning

confidence: 99%

“…Rienow and Goetzke (2015) used the support vector machine to enhance SLEUTH's predictive power by developing probability-based excluded layers. Likewise, Sakieh et al (2015) applied a multi-criterion evaluation method to generate suitability-based policy layers.…”

Section: Introductionmentioning

confidence: 99%

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An examination of land use impacts of flooding induced by sea level rise

Song¹,

Fu²,

Gu³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Coastal regions become unprecedentedly vulnerable to coastal hazards that are associated with sea level rise. The purpose of this paper is therefore to simulate prospective urban exposure to changing sea levels. This article first applied the cellular-automaton-based SLEUTH model (Project Gigalopolis, 2016) to calibrate historical urban dynamics in Bay County, Florida (USA) -a region that is greatly threatened by rising sea levels. This paper estimated five urban growth parameters by multiple-calibration procedures that used different Monte Carlo iterations to account for modeling uncertainties. It then employed the calibrated model to predict three scenarios of urban growth up to 2080 -historical trend, urban sprawl, and compact development. We also assessed land use impacts of four policies: no regulations; flood mitigation plans based on the whole study region and on those areas that are prone to experience growth; and the protection of conservational lands. This study lastly overlaid projected urban areas in 2030 and 2080 with 500-year flooding maps that were developed under 0, 0.2, and 0.9 m sea level rise. The calibration results that a substantial number of built-up regions extend from established coastal settlements. The predictions suggest that total flooded area of new urbanized regions in 2080 would be more than 25 times that under the flood mitigation policy, if the urbanization progresses with few policy interventions. The joint model generates new knowledge in the domain between land use modeling and sea level rise. It contributes to coastal spatial planning by helping develop hazard mitigation schemes and can be employed in other international communities that face combined pressure of urban growth and climate change.

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Section: Urban Growth and Coastal Hazardssupporting

confidence: 91%

Section: Model Calibrationmentioning

confidence: 99%

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An examination of land use impacts of flooding induced by sea level rise

Song¹,

Fu²,

Gu³

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the SLEUTH model allows policies and plans of urban development to be incorporated through variations in the excluded layer or in the set of model coefficients (e.g. Yang and Lo, 2003;Jantz et al, 2004;Dezhkam et al, 2014;Liang and Liu, 2014;Bihamta et al, 2015;Han et al, 2015b;Sakieh et al, 2015). Although the performance of SLEUTH is relatively high, it gives no information about the human and ecological factors affecting the local suitability of urban growth (Rienow and Goetzke, 2015).…”

Section: Introductionmentioning

confidence: 99%

Extending the SLEUTH model to integrate habitat quality into urban growth simulation

Wang

Chen

et al. 2018

Journal of Environmental Management

118

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This study aims to support sustainable urban and environmental planning by using urban growth simulation models, in which environmental quality is employed as one of the inputs. We proposed an extended SLEUTH urban growth model (UGM) for the regions threatened by environmental quality degradation caused by uncontrolled urban expansion. In this model, habitat quality is assessed by the InVEST model and is used to represent environmental quality, which is utilized in urban growth simulation. The habitat quality map is used to replace the slope layer as input for the SLEUTH model's urban growth simulation for cities where relatively flat topography makes this layer of minimal explanatory value. The extended SLEUTH UGM was calibrated using data for Changzhou city, China in 1990, 2000, 2010, and 2014. The best value of the Optimal SLEUTH Metric (OSM) was calculated for both the standard SLEUTH UGM and the extended SLEUTH UGM independently. The OSM value for the latter model was much higher than that of the former model, which indicated that the extended model provided a better explanation of urban growth in the study area. The calibrated extended SLEUTH UGM was applied to predict growth in Changzhou city from 2014 to 2030. The result showed that the urban area is expected to expand about 626 km by 2030. Comparison with the prediction result by using standard SLEUTH UGM showed that the area with high habitat quality could be reserved and the urban expansion could be limited by using our model. The findings demonstrate that the extended SLEUTH UGM could be a valuable tool for sustainable urban and environmental planning and management in developing regions where environmental protection should be considered as one of the major land-use objectives in their rapid urbanization process.

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“…First, the Chinese government should strengthen the scientific basis of urban land use planning and improve its enforcement. Rational urban land use planning is vital to the effective operation of a city [46]. Coordinated economic, social, and environmental urban development should also be considered.…”

Section: Discussionmentioning

confidence: 99%

Urban Land Use Efficiency and Coordination in China

Yang

Dang

2017

Sustainability

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Due to the focused pursuit of economic growth in the process of the large-scale urban development of China, the phenomena of low land use efficiency and discordance of land use induce unwanted economic, social, and environmental costs. This paper presents a comprehensive study of urban land use efficiency and of the degree of land use coordination of 33 cities in China, using theoretical analysis, data envelopment analysis, principal component analysis, the coordination coefficient method, and four-quadrant analysis. The findings of this study suggest a gradually increasing proportion of land use efficiency from eastern to central and western regions of China, coinciding with China's pattern of socioeconomic development. No correlation was found between high levels of urban land use efficiency and the degree of land use coordination; however, a significant correlation was found between low land use efficiency and low degrees of land use coordination. Rational land use planning and policy design can effectively improve both urban land use efficiency and coordination.

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Evaluating the strategy of decentralized urban land-use planning in a developing region

Cited by 93 publications

References 38 publications

An examination of land use impacts of flooding induced by sea level rise

An examination of land use impacts of flooding induced by sea level rise

Extending the SLEUTH model to integrate habitat quality into urban growth simulation

Urban Land Use Efficiency and Coordination in China

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