scholarly journals Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area

2019 ◽  
Vol 11 (21) ◽  
pp. 5919 ◽  
Author(s):  
He ◽  
Mai ◽  
Shen
Keyword(s):  
Land Use ◽  
Metropolitan Area ◽  
Urban Growth ◽  
Small Region ◽  
Sustainable Urban Development ◽  
Rapid Urbanization ◽  
Development Scenarios ◽  
Urban Growth Boundaries ◽  
Urbanization In China ◽  
S Model

For megacities experiencing rapid urbanization in China, urban growth boundaries (UGBs) have been considered as a useful means to control urban sprawl and to promote sustainable urban development. However, scientific methods and tools to delineate sound UGBs by planners are few and far between. Using metropolitan Chengdu as the study area, this paper applies the system dynamics (SD) and conversion of land use and its effects at small region extent (CLUE-s) models to delineate UGBs. In this study, land use demand was simulated in the SD model temporally at a macro-level and allocated in the CLUE-s model spatially at a micro-level. Key social-economic elements and spatial pattern factors were used in the simulation process for the period of 2013–2030. The simulation results under various scenarios showed that areas along the major corridors and belt roads of the main Chengdu metropolitan area and its satellite towns have higher chances to be developed. The areas most likely to be developed were used to establish the UGBs for 2020, 2025, and 2030. This research demonstrates that the integrated framework of SD and CLUE-s models provides a feasible means of UGB delineation under different development scenarios.

scholarly journals Exploring the Determinants of Variations in Land Use Policy Outcomes: What Makes Urban Containment Work?

2019 ◽  
pp. 0739456X1986530
Author(s):  
Jae Hong Kim
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Least Squares Method ◽  
Initial Density ◽  
Land Use Policy ◽  
Policy Outcomes ◽  
Organizational Conditions ◽  
Urban Containment ◽  
Urban Growth Boundaries ◽  
Development Outcomes

This article explores ways in which land use policy outcomes vary across contexts focusing, as an example, on urban growth boundaries. Specifically, it analyzes how various contextual factors interact with the policy and generate diverging development outcomes by employing a kernel-based regularized least squares method. Results show that the policy effectiveness is largely dependent on the region’s population size, initial density levels, and organizational conditions. The presence of urban growth boundaries also appears to shape the way other determinants influence development patterns, suggesting that the policy can both directly and indirectly promote a more compact/contiguous pattern of development.

scholarly journals A Model-Based Analysis of Spatio-Temporal Changes of the Urban Expansion in Arid Area of Western China: A Case Study in North Xinjiang Economic Zone

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 989
Author(s):  
Jing Qian ◽  
Qiming Zhou ◽  
Xi Chen ◽  
Bo Sun
Keyword(s):  
Land Use ◽  
Driving Forces ◽  
Urban Expansion ◽  
Eastern China ◽  
Western China ◽  
Urbanization Process ◽  
Rapid Urbanization ◽  
North Xinjiang ◽  
Economic Zone ◽  
S Model

Investigation of urban expansion can provide a better understanding of the urbanization process and its driving forces, which is critical for environmental management and land use planning. Total of 514 sampling points from the aerial photos and field sampling were applied to assess the image accuracy. A Conversion of Land Use and its Effect at Small Region Extent (CLUE-S) model was established to simulate the urbanization process at the township level in the North Xinjiang Economic Zone (NXEZ) of western China. Historical land use and land cover changes with multi-temporal remote sensing data were retrieved, and the underlying driving forces were explored by training the CLUE-S model. Moreover, future changes in urban development were simulated under different scenarios. Results showed that the overall accuracy reaches larger than 80% for the years of 2002, 2005, and 2007, and the corresponding kappa coefficient is bigger than 0.8. The NXEZ is at a premature development stage compared with urban clusters in eastern China. Before 1999, the driving force in this region was primary industry development. In recent years, secondary industries started to show significance in urbanization. These findings indicate that the industrial base and economic development in the NXEZ are still relatively weak and have not taken a strong leading role. When industry and population become the main driving factors, the regional economy will enter a new stage of leap-forward development, which in turn will stimulate a new round of rapid urbanization.

scholarly journals MCR-Modified CA–Markov Model for the Simulation of Urban Expansion

2018 ◽  
Vol 10 (9) ◽  
pp. 3116 ◽  
Author(s):  
Xiuquan Li ◽  
Meizhen Wang ◽  
Xuejun Liu ◽  
Zhuan Chen ◽  
Xiaojian Wei ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Metropolitan Area ◽  
Urban Expansion ◽  
Ecological Factors ◽  
Sustainable Urban Development ◽  
Ecological Regions ◽  
Ca Model ◽  
Wuhan Metropolitan Area ◽  
Mcr Model

Ecosystem balance is an important factor that affects healthy and sustainable urban development. The traditional cellular automata (CA) model considers only a few ecological factors, however, the MCR model can account for ecological factors. In previous studies, few ecological factors were added to the CA model. Thus, the minimal cumulative resistance (MCR) model is combined with the CA and Markov models for the simulation of urban expansion. To verify the reliability of the method, the Wuhan metropolitan area was selected as a representative urban area, and its expansion in the past and future was simulated. Firstly, seven influential factors were selected from the perspective of location theory. The transformation rules of the comprehensive resistance surface followed by the modified CA–Markov model were constructed on the basis of the MCR model. The expansion of the Wuhan metropolitan area in 2013 was simulated on the basis of the 1996 and 2006 maps of land-use status, and the kappa coefficient was used as an index to evaluate the accuracy of the proposed method. Then, the expansion of the Wuhan metropolitan area in 2020 was simulated. Finally, the simulation results obtained with and without the MCR model were compared and analysed from the macro- and micro levels. Results show that the prediction accuracy of the two models differed for ecological regions, such as woodlands and water bodies. The similarities between the regions that were overestimated and underestimated by the MCR-modified CA–Markov model and non-MCR model may be attributed to solution of the land-use transfer matrix with the Markov model. The accuracy of the MCR-modified CA–Markov model for predicting forests, water and other ecological regions was higher than that of the Markov model. Therefore, the proposed MCR-modified CA–Markov model has potential applications in environmentally-conscious urban expansion.

Landscape Pattern Dynamics and Landscape Sustainability in Shenzhen City

2012 ◽  
Vol 209-211 ◽  
pp. 337-340
Author(s):  
Bin Xun ◽  
De Yong Yu ◽  
Yu Peng Liu
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Agricultural Landscape ◽  
Urban Landscape ◽  
Landscape Dynamics ◽  
Landscape Sustainability ◽  
Rapid Urbanization ◽  
Pattern Dynamics ◽  
Urbanization In China ◽  
Shape Complexity

urbanization, land use, landscape pattern, landscape sustainability, Shenzhen Abstract. Urbanization has been a universal and irresistible trend across the world. Quantifying urban landscape pattern changes can provide detailed information to understand the urbanization process and to operationalize landscape sustainability. Combining the remotely sensed images and landscape metrics, we analyze the land use structure and landscape dynamics in a typical region of rapid urbanization in China—Shenzhen during the period of 1980-2010. The results showed that the dominant semi-natural and agricultural landscape has been fundamentally converted into the human-induced landscape. At the landscape level, the signatures of landscape dynamics exhibited a coalescence-diffusion-coalescence pattern. At the class level, the degree of fragmentation and shape complexity of four main land use types substantially increased.

scholarly journals Urban Growth Structure and Travel Behavior in Tehran City

2016 ◽  
Vol 10 (8) ◽  
pp. 32
Author(s):  
Mahmood Shoorcheh ◽  
Hamidreza Varesi ◽  
Jamal Mohammadi ◽  
Todd Litman
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Use Planning ◽  
Travel Behavior ◽  
Traffic Accidents ◽  
Growth Management ◽  
Smart Growth ◽  
Sustainable Urban Development ◽  
Growth Structure ◽  
Land Use Development

This paper investigates major characteristics of Tehran’s urban growth structure, how various land use factors such as “density”, “diversity”, “design” and “accessibility” affect travel behavior, population growth and land use development, and future travel demands. Tehran city is currently developing in ways that are likely to increase sprawl and automobile-dependency, which increase problems including traffic and parking congestion, consumer costs, traffic accidents, pollution emissions and inadequate mobility for non-drivers. This analysis indicates that the growth management policies in Tehran’s Comprehensive Plan can significantly reduce vehicle travel and associated problems, resulting in a more sustainable urban development path. This information is useful for evaluating the ability of policies such as Smart Growth, New Urbanism and Accessibility Management to help achieve transport-land use planning objectives.

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