Constructing Landscape Ecological Security Patterns of an Ancient Capital Based on Cellular Automata Theory

Abstract

Urban sprawl in developing countries changes urban land use structure and function, and threatens the sustainable development of regional ecology and security patterns of city landscapes. A new way to control urban sprawl is to develop a comprehensive landscape security plan, analyze factors influencing urban growth, optimize land use and demarcate a growth boundary. Here, we use Xi’an, China, as a case study to analyze scenarios of landscape security pattern and urban spatial control to explore urban spatial zoning. We construct a theoretical framework of a landscape security pattern to manage urban spatial expansion from the perspective of landscape security and urban smart growth. As a first step, the integrated landscape security pattern is constructed based on four factors: hydrology, geological disasters, cultural heritage, and recreation. Second, the urban spatial expansion model is simulated based on a cellular automata model. Finally, nine land-use patterns are developed by overlaying integrated landscape security patterns and urban spatial expansion. Thus, urban space is divided into three types of zoning scenarios: suitable construction, restricted construction, and prohibited construction. The calculations indicate that the zoning area of the three types accounted for 10.4%, 14.7%, and 74.9%, respectively, of the total area in Xi’an. It is of great significance to determine the spatial contradiction between development and protection in the process of urban expansion and to establish a schema of suitable urban land use. We discuss the rapid urbanization process in developing countries at the macro scale, and formulate a land use plan that balances development and protection.

Construction of Security Pattern for Historical Districts in Cultural Landscape Based on MCR Model: A Case Study of Chaozong Street, Changsha City

“…The MCR model developed by Knaapen can be used to analyze the latent spatial distribution of ecological processes, which identifies landscape ecological SPs and provides corresponding guidance and design to maintain ecological courses [20]. Subsequently, with the assistance of cutting-edge technologies such as neural network CA models [21], the MCR model has been applied to strengthen national ecological security [22][23][24][25], rational land use expansion [26,27], land use evaluation [28], and tourism development [29][30][31][32].…”

Sustainable Development Efficiency of Cultural Landscape Heritage in Urban Fringe Based on GIS-DEA-MI, a Case Study of Wuhan, China

“…Xuhui Wang et al constructed the ecological security model of ancient capital landscape based on cellular automata theory [ 15 ]. Alessandra Capuano explored more advanced Roman archaeological sites and urban sustainability based on sustainable concepts [ 16 ]. Janjira Sukwai used GIS and computer-generated 3D modeling to support a visual integrity assessment of change management in the Chiang Mai Historical City buffer zone [ 17 ].…”

Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach

“…While some patterns are based on the prediction rate of change, others rely on spatial patterns that focus on required data and validation strategies [53]. In recent years, some spatial models have combined remote sensing (RS) and geographic information systems (GISs) to simulate and predict future scenarios of LULC [54], for instance, Markov chain [55,56], cellular automata-Markov (CA-Markov) [57], logistic regression [58,59], cellular automata model [60,61], SLEUTH model [62,63], and artificial neural network model [64,65]. Many studies in the literature have also separately applied the Fractal [66,67], CA-Markov [68][69][70][71] and ANN [72][73][74], logistic regression [75,76], and agent-based [77,78] models, which are popular in prediction studies for LULC.…”