Article
Engineering, Civil
Shuang Yao, Nengcheng Chen, Wenying Du, Chao Wang, Cuizhen Chen
Summary: A new rainfall-runoff model based on cellular automaton (RRCA) was proposed in this study, taking into account diverse urban scenarios and new transition rules, making it more accurate for flood simulation in urban environments. The model showed higher sensitivity to waterlogging levels compared to the benchmark model and assessed waterlogging impact through simulation of vegetation processes.
WATER RESOURCES MANAGEMENT
(2021)
Article
Geosciences, Multidisciplinary
Quanli Xu, A-Xing Zhu, Jing Liu
Summary: Cellular automata is an important model for simulating land-use change. This study proposes a method for determining the cellular unit based on land natural evolutionary unit (LNU) and shows that the LNU-based cellular automata model exhibits better spatial distribution consistency, higher simulation accuracy, and lower distortion compared to regular grid cellular automata.
Article
Engineering, Mechanical
C. Correia Ramos, Nada El Bouziani, Mouhaydine Tlemcani, Sara Fernandes
Summary: In this study, deterministic and probabilistic cellular automata are used to study and describe patterns in material blocks, with a focus on fracture-like patterns. The distribution of the internal structure is obtained using probabilistic cellular automata, and different methods of combining these patterns into a final one are discussed. Refinement techniques are introduced to improve the probability distributions and adjust the behavior of the cellular automata rules.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ramon Molinero-Parejo, Francisco Aguilera-Benavente, Montserrat Gomez-Delgado, Nikolai Shurupov
Summary: Urban development is a complex process that requires the anticipation and examination of unexpected events. This study proposes a method that combines LP-CA and participatory approaches to generate land use trajectories consistent with disruptive narrative storylines. The results demonstrate the usefulness of this methodology in simulating urban land use change in disruptive future scenarios and observing the spatial propagation of uncertainty associated with future events.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Urban Studies
Jinyao Lin, Xia Li, Youyue Wen, Peiting He
Summary: Cellular automaton (CA) is a useful tool for modeling land-use changes, and the patch-based CA model is superior to the cell-based CA model in considering local-scale spatial homogeneity of urban growth. However, traditional patch-based CA lacks the incorporation of landscape pattern information. To address this limitation, a novel landscape-driven patch-based CA model is proposed, which can consider both landscape similarity and cell-by-cell agreement.
Article
Remote Sensing
Jiachen Geng, Shi Shen, Changxiu Cheng, Kaixuan Dai
Summary: This study proposed a hybrid spatiotemporal convolution-based cellular automata model for accurate land-use/cover change simulation. By incorporating a 3D convolutional neural network, the model effectively captured the nonlinear spatiotemporal properties and improved the simulation accuracy.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Review
Environmental Studies
Anasua Chakraborty, Sujit Sikder, Hichem Omrani, Jacques Teller
Summary: This paper discusses the challenges of creating an accurate simulation of future urban growth within a GIS environment and explores various approaches for realistic simulation and prediction of urban densification. The characteristics of cellular automata models are described, and hybrid models based on cellular automata are critically analyzed.
Article
Remote Sensing
Xiaocong Xu, Dachuan Zhang, Xiaoping Liu, Jinpei Ou, Xinxin Wu
Summary: The study introduces a new A-VCA model for better simulation of fine-scale urban land use changes by considering accessibility and vector-based cellular automata. Simulation results demonstrate the superior performance of the A-VCA model in accuracy and morphological features compared to other models, highlighting the effectiveness of the accessibility-interactive mechanism and vector-based simulation strategy.
GEO-SPATIAL INFORMATION SCIENCE
(2022)
Article
Geography, Physical
Guangzhao Chen, Haoming Zhuang, Xiaoping Liu
Summary: A novel model (LPJ-FLUS) is proposed in this study, which couples the mechanistic model (LPJ) and cellular automata (CA) at the cell level to simulate land use and land cover change (LUCC) with higher accuracy. The proposed model is validated by historical LUCC simulations in China and shows promising potential for predicting future LUCC under different climate scenarios.
GISCIENCE & REMOTE SENSING
(2023)
Article
Ecology
Xun Liang, Qingfeng Guan, Keith C. Clarke, Guangzhao Chen, Song Guo, Yao Yao
Summary: The study introduces a new mixed cell CA (MCCA) for simulating land use change with mixed cells, which is fundamentally different from conventional CAs. The MCCA redesigns the CA structure based on cover proportions, utilizes random-forest regression to construct transition rules, proposes a competition mechanism among land use types, and introduces a mixed-cell accuracy measure (mcFoM) for validation. Applied in Wuhan, China, the MCCA successfully simulates subtle changes in land use proportions, representing a new approach for dynamic simulation of mixed land use structures.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Computer Science, Artificial Intelligence
Joao B. Florindo, Konradin Metze
Summary: The proposed method combines cellular automata with local descriptors for texture recognition, achieving good results by introducing a new transition function and controlled deterministic chaos concept. The approach shows great potential in plant species texture recognition.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Aditya Tafta Nugraha, Ben J. Waterson, Simon P. Blainey, Frederick J. Nash
Summary: This paper presents an improved method for calibrating cellular automata-based land use and transport interaction (LUTI) models, quantifies generalizable interactions in a wide range of port-urban settlements, and demonstrates the use of these interactions in predicting the long-term impacts of planning interventions. The findings contribute to a better understanding of urban dynamics in port cities and enable planners to better predict the consequences of their interventions.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Mathematics, Interdisciplinary Applications
Promit Moitra, Abhijit Sen
Summary: The Greenberg-Hastings cellular automata (GHCA) is a cellular automata system that models emergent phenomena in an excitable medium. This study systematically investigates the relationship between the dynamical properties of individual cells implementing excitable dynamics and the emergent system wide asymptotic state. The main result obtained is that the probability of persistence assumes a characteristic sigmoidal form as the dynamical behaviour transitions from quiescence to persistent spatiotemporal oscillations.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Ecology
Bin Zhang, Shougeng Hu, Haijun Wang, Haoran Zeng
Summary: This study proposes a size-adaptive strategy for the definition of the cellular automata (CA) neighborhood to improve the ability of CA models to simulate urban growth with spatial heterogeneity. By comparing different neighborhood definition strategies, the results show that the size-adaptive neighborhood is superior in characterizing the local interactions of urban growth and can produce more accurate simulation results. Moreover, the computational efficiency of the size-adaptive strategy is examined using serial and parallel algorithms.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Geography, Physical
Bin Zhang, Haijun Wang
Summary: This study proposes a new dual-scale neighborhood (DSN) combined with vectorization to address the contradiction in the selection of neighborhood size in cellular automata (CA) models. Experimental results show that DSN can improve simulation accuracy and computational efficiency.
GISCIENCE & REMOTE SENSING
(2021)
Article
Green & Sustainable Science & Technology
Shenzhen Tian, Xueming Li, Jun Yang, Hui Wang, Jianke Guo
Summary: The Internet is an important component of human settlements. The current research on real human settlements is insufficient, therefore the introduction of pseudo human settlements is significant for the development of human settlement sciences and the revitalization of specific areas. By using data mining technology, entropy weight method, and spatial analysis, the spatiotemporal evolution and special effects of pseudo human settlements can be studied, leading to conclusions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Shenzhen Tian, Biyan Jin, Hang Li, Xueming Li, Jun Yang
Summary: This study proposed a theoretical framework for beautiful human settlements and conducted a spatio-temporal analysis in Liaoning Province using various methods. The results showed fluctuating upward trends in time and regional heterogeneity in space for beautiful human settlements. The driving mechanisms were found to be the social and support systems, driven by urban economic strength, population, infrastructure development, and emerging technology.
Article
Green & Sustainable Science & Technology
Zhongqin Kuang, Yan Jia, Jun Yang
Summary: This study analyzed the research literature on private colleges in the CSSCI database from 1998 to 2021 and relevant policies from the legal literature database. The results showed a significant increase in the number of research papers published by private colleges, but with regional disparities in research development. The primary research forces of private colleges were mainly concentrated in the Jiangsu and Zhejiang regions.
Article
Construction & Building Technology
Yang Chen, Jun Yang, Wenbo Yu, Jiayi Ren, Xiangming Xiao, Jianhong Cecilia Xia
Summary: This study evaluated the importance of urban spatial form (USF) indicators on land surface temperature (LST) in Xi'an City. The results showed that building morphology has the highest influence on LST, with seasonal variations. The findings provide useful information for urban land-use planning and building layout.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Multidisciplinary Sciences
Jiayi Ren, Jun Yang, Feng Wu, Wei Sun, Xiangming Xiao, Jianhong (Cecilia) Xia
Summary: Based on satellite data, this study quantitatively evaluated the land surface temperature in North, South, and Northwest China from 2017 to 2021. It found that the thermal condition index (TCI) decreased in Northwest China, while it increased in North and South China. Moreover, there was strong spatial agglomeration in the Northwest and South China regions. The results provide theoretical support for improving the ecological environment in the context of new urbanization in China.
Editorial Material
Environmental Sciences
Bing Xue, Yaotian Xu, Xiangming Xiao, Jianhong (Cecilia) Xia, Xinli Ke, Jun Yang
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Wenbo Yu, Jun Yang, Feng Wu, Baojie He, Huisheng Yu, Jiayi Ren, Xiangming Xiao, Jianhong(Cecilia) Xia
Summary: To promote the application of refined Local Climate Zone (LCZ) maps in urban climate research, we proposed a downscaling mapping process by integrating GIS workflow and remote sensing workflow. The results showed that by adjusting the scale and input of the deep learning model, the LCZ basemap achieved high overall accuracy and data matching degree. Visual interpretation demonstrated high overall accuracy of LCZ maps at all scales, with the highest accuracy achieved at a 20m scale. Usefulness assessment revealed significant differences in surface temperature levels of LCZs at all scales, with the 160m scale being the most suitable for analyzing the thermal characteristics of urban landscapes.
Article
Humanities, Multidisciplinary
Wenbo Yu, Jun Yang, Feng Wu, Baojie He, Bing Xue, Shaohua Wang, Huisheng Yu, Xiangming Xiao, Jianhong (Cecilia) Xia
Summary: Pseudo-human settlements (PHS) reflect the subjective wishes and needs of residents. This study quantitatively analyzes the spatiotemporal characteristics and driving mechanism of PHS in 286 Chinese cities. The results indicate notable hierarchical characteristics and spatial differences in PHS level, with nighttime light index, per capita GRP, and population size as major drivers of heterogeneity in development level and functional structure. The findings of this study can help China and other countries promote realistic development by unveiling the characteristics of PHS.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2023)
Article
Humanities, Multidisciplinary
Xiaoming Jin, Weixin Luan, Jun Yang, Wenze Yue, Shulin Wan, Di Yang, Xiangming Xiao, Bing Xue, Yue Dou, Fangzheng Lyu, Shaohua Wang
Summary: This study, using nighttime light data and the random forest algorithm, reveals a spatial imbalance in global economic development and a shift of economic factors towards interior areas.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2023)
Article
Remote Sensing
Andong Guo, Tingting He, Wenze Yue, Wu Xiao, Jun Yang, Maoxin Zhang, Mengmeng Li
Summary: The research shows that urban trees can reduce urban heat island effect by lowering land surface temperature, especially in summer. Factors such as tree height and tree coverage rate have a significant impact on mitigating the heat island effect, while the digital elevation model plays a crucial role in influencing the cooling effect of trees.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Engineering, Electrical & Electronic
Weiling Liu, Hao Cui, Yonghua Jiang, Guo Zhang, Xinghua Li, Haifeng Li, Yujia Chen, Jun Yang
Summary: This article proposes a decoupling-reconstruction network (DecRecNet) for image reconstruction based on a radiation correction model, achieving remarkable advantages in missing information reconstruction under different conditions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Biodiversity Conservation
Andong Guo, Wenze Yue, Jun Yang, Mengmeng Li, Peng Xie, Tingting He, Maoxin Zhang, Huisheng Yu
Summary: In the context of global warming and rapid urbanization, the impact of ventilation corridors on thermal environment remains unclear. This study uses the single-window algorithm and circuit theory method to analyze the characteristics of land surface temperature and ventilation corridors in four megacities of China and finds that ventilation corridors consisting of green spaces, waters, and roads have a remarkable mitigation effect on thermal environment.
ECOLOGICAL INDICATORS
(2023)
Article
Engineering, Electrical & Electronic
Wenbo Yu, Jun Yang, Nan Cong, Jiayi Ren, Huisheng Yu, Xiangming Xiao, Jianhong Xia
Summary: This study analyzed the impact of global climate change on urban thermal environment using the EOF method and found that both background climate and local effects contribute to the variations in thermal environment. Industrial zones and compact high-rise buildings have the most significant warming effect on daytime thermal environment, while mid-to-high-rise buildings have the most significant warming effect on nighttime thermal environment.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Ecology
Xinyue Ma, Jun Yang, Dongqi Sun, Rui Zhang, Xiangming Xiao, Jianhong Xia (Cecilia)
Summary: The rapid development of cities has led to a significant increase in carbon emissions, which has had a detrimental impact on the environment. This study classified Shanghai into different functional zones using Open Street Map (OSM) data and investigated their contributions to carbon emissions. The majority of carbon emissions came from residential and tertiary sectors, primarily concentrated in urban centers and western city areas.
ECOLOGICAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Chunli Li, Jun Yang, Yuqing Zhang
Summary: This study analyzed the spatial and temporal changes of the urban ecological environment in Dalian, China from 2010 to 2022 using remote sensing data. It found that urbanization has had a substantial impact on the urban natural environment and has altered the urban land use structure.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
