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

Shi, Yishao; Wu, Jie; Shi, Shuyuan

doi:10.3390/su9060876

Cited by 20 publications

(11 citation statements)

References 51 publications

(22 reference statements)

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“…When creating a SLEUTH simulation, the optimal parameter selection is based on the Lee-Sallee shape index [41] for the measurement of spatial fit between the modeled growth and the known urban extent for control years. A high Lee-Sallee value shows a high simulation accuracy [29,39,[42][43][44][45].…”

Section: A Simulation and Prediction Model For Urban Growthmentioning

confidence: 99%

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Kuo

Tsou

2017

Sustainability

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Abstract:Changing land use and urban expansion are key drivers of global environmental change, which are inevitable consequences of economic and social development for many cities. Most land use changes have a negative impact on the natural environment, especially due to their effects on surface temperature, runoff and habitat diversity. Due to the limitation of local government funding and expenditure, it is a challenge for developing countries to create strategies for urban sustainability. This study provided a systematic assessment method for simulating and analyzing the future impacts and spatial patterns of urban growth via cellular automata and cluster analysis. We used Tainan as a study area and compared the impact of future urban spatial development during two periods : 1993-2008 and 2008-2030. The results indicate that the impact of this development on the natural environment can be divided into six clusters. With an increased distance from the city center, there were increased changes in surface temperature and a decreased amount of runoff. These results indicate the occurrence of urban expansion, with habitat diversity being greater in areas governed by policies or ordinances.

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Section: A Simulation and Prediction Model For Urban Growthmentioning

confidence: 99%

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Kuo

Tsou

2017

Sustainability

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“…Most of these studies used future growth scenarios such as “business as usual”, “compact development”, and “environmental protection”. Each scenario is defined below: “business as usual:” same growth pattern as previous growth pattern [29,30]“compact development:” controlling development density [29]“environmental protection:” restricting development location beyond environmentally sensitive areas [31]…”

Section: Literature Reviewmentioning

confidence: 99%

Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston

Kim

Newman

2019

Sustainability

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Rising sea levels and coastal population growth will increase flood risk of more people and assets if land use changes are not planned adequately. This research examines the efficacy of flood protection systems and land use planning by comparing Amsterdam in the Netherlands (renown for resilience planning methods), with the city of Houston, Texas in the US (seeking ways of increasing resilience due to extreme recent flooding). It assesses flood risk of future urban growth in lieu of sea level rise using the Land Transformation Model, a Geographic Information Systems (GIS)-based Artificial Neural Network (ANN) land use prediction tool. Findings show that Houston has currently developed much more urban area within high-risk flood-prone zones compared to Amsterdam. When comparing predicted urban areas under risk, flood-prone future urban areas in Amsterdam are also relatively smaller than Houston. Finally, the increased floodplain when accounting for sea level rise will impact existing and future urban areas in Houston, but do not increase risk significantly in Amsterdam. The results suggest that the protective infrastructure used in the Netherlands has protected its future urban growth from sea level rise more adequately than has Houston.

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“…Two of these strategies are morphological: (i) adjusting the network to the urban structure to facilitate its legibility by the users; (ii) facilitating transfer to move away from the current many-to-many configuration to all-to-all configuration to favour the network effect (Mees, 2000). In Shanghai, urban development since 1995 has followed two gradients toward Hangzhou and toward Suzhou along the road corridors G15-G2 and S26-S58 (Cui & Shi, 2012;Shi, et al, 2017). We propose that the two overlapping ellipse rings follow these gradients (See Figure 6b).…”

Section: Justification Of the Ellipse Scenariomentioning

confidence: 99%

How to design the metro network for maximal accessibility potential? A comparative analysis of Shanghai.

Zhang

Chiaradia²

2017

Proceedings 24th ISUF 2017 - City and Territory in the Globalization Age

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In Shanghai, the high-capacity metro network has been proved to play an important role in the urban movement and urban morphology generating pattern. Previous studies on the metro network analysis such as London Underground network (Chiaradia, 2005) and Shanghai Metro network (Zhang, 2014) have shown that topological configuration of metro network can explain at least 50% of entry/exit movement at metro stations. The Shanghai metro network uses a core ring (Inner ring Line 4) to encircle a core of stations which are characterized by higher line connectivity. Branches radiate from the core and reach further areas of the urban system. However, the core lines and stations have over-congested especially at peak time, at the same time, the link mean distance doesn’t minimized because the inner ring core is not big enough for the ever growing metro network. How should the network be designed to achieve best accessibility potential? Through the use of sDNA (spatial design network analysis) and geographic information system, this paper compared current 2016 and planned 2020 Shanghai metro network (Fig 1). There was an increase of 23% in the metro station amount, however, the mean distance only decreased by 2.6%, and the line connectivity increased by 0.68%. Inspired by the Shanghai City Planning 2015-2040 which will reserve place for a ring-shaped metro line near mid-ring, and by the two orbital rail rings for the Greater Paris, we did a comparison between 4 network plans based on the 2016 network: a) a mid-ring line added; b)a mid-ring line & mid-ring express line added; c) two ellipse rings added; d) two ellipse rings & ellipse express lines added (Fig 2). The results showed that the plan D works best for minimizing mean distance and maximizing line connectivity, followed by plan C, plan B, and plan A. Two ellipse rings and express lines led to a reduction of more than 30% of network mean distance and an increase of 18.5% of line connectivity, corresponding to only 13% increase of the metro station amount. The proposed approach enables us to configurationally examine urban metro network accessibility potential and provides decision support for urban development.

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

Cited by 20 publications

References 51 publications

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston

How to design the metro network for maximal accessibility potential? A comparative analysis of Shanghai.

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