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  1. Evaluating the Real-Time Impact of COVID-19 on Cities: China as a Case Study.Haimeng Liu, Chuanglin Fang & Qian Gao - 2020 - Complexity 2020:1-11.
    Since the beginning of 2020, the COVID-19 epidemic has dramatically influenced the human socioeconomic system. If we conceive of the city as a complex organism with a metabolism, then the daily flows of people, materials, and information into and out of a city can be regarded as its metabolism. To evaluate the real-time impact of COVID-19 on a city’s economy and society, we construct a health index of cities using human mobility big data from Baidu and analyze the temporal and (...)
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  • Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data.Hui Liu, Jingqing Jiang, Yaowei Hou & Jie Song - 2020 - Complexity 2020:1-14.
    Cities in the big data era hold the massive urban data to create valuable information and digitally enhanced services. Sources of urban data are generally categorized as one of the three types: official, social, and sensorial, which are from the government and enterprises, social networks of citizens, and the sensor network. These types typically differ significantly from each other but are consolidated together for the smart urban services. Based on the sophisticated consolidation approaches, we argue that a new challenge, fragment (...)
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  • Material Consumption and Carbon Emissions Associated with the Infrastructure Construction of 34 Cities in Northeast China.Heming Wang, Yao Wang, Cong Fan, Xinzhe Wang, Yao Wei, Zhihe Zhang, Jiashi Wang, Fengmei Ma & Qiang Yue - 2020 - Complexity 2020:1-20.
    Over the past three decades, China has experienced rapid economic growth along with a rapid increase in urbanization and living standards, leading to a boom in infrastructure demand. A large part of China’s newly constructed infrastructure is through urban construction; thus, cities have become a major source of material consumption and carbon emissions. Understanding the relationship between material consumption, carbon emissions, and the economic growth of cities is key to ensuring that the construction of infrastructure satisfies the needs for both (...)
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  • Urban Industrial Land Expansion and Its Influencing Factors in Shunde: 1995–2017.Chen Xiong, Jiayi Lu & Fangqu Niu - 2020 - Complexity 2020:1-12.
    The change in the industrial land is of great significance to the sustainable development of cities. However, scholars have done relatively little research on this subject, especially on the urban industrial land expansion process and its influencing factors. This article selects Shunde, a typical Chinese industrial city of the Guangdong province, using remote sensing interpretation to analyze the spatiotemporal evolution of industrial land expansion from 1995 to 2017 and applies the multiple regression model to analyze the influencing factors. The main (...)
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  • A Dynamic Urban Lake Area Evolution Model Based on Multilevel Grid, Cellular Automata, and Multiagent System.Jianfeng Zhu & Shenzhen Tian - 2020 - Complexity 2020:1-19.
    Urban lakes have been threatened by rapid expansion of cities in recent years. Their area changes could be extracted by remote sensing technologies. On this basis, a Dynamic Urban Lake Area Evolution Model is proposed based on a multiagent system and a cellular automata model. The DULAEM is integrated upon an Urban Lake Multilevel Grid, which is composed of the vector model with the raster model. In the DULAEM, the CA layer is mainly used for modelling the interactions between urban (...)
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  • Classification Method and Determination of Mountainous Area Types at Township Scales: A Case Study of Yuxi City, Yunnan Province.Li Wu, Binggeng Xie, Xiao Xiao, Bing Xue & Jingzhong Li - 2020 - Complexity 2020:1-13.
    The high-resolution regional division of mountainous area types has important scientific significance for promoting precise management of land space and regional sustainable development. At present, the classification method of mountainous area types is mainly at the county level and above, while classifications for towns and villages are nearly nonexistent, which poses a technical challenge for rural revitalization and the construction of ecological civilization in mountainous areas. We used Yuxi city, Yunnan Province, as the target area of this research, which was (...)
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  • Spatial and Temporal Characteristics of Rurality in Urban Suburb Town and Its Driving Factors Based on Land Use Transformation.Zhiheng Yang & Chenxi Li - 2020 - Complexity 2020:1-10.
    Rurality highlights the intrinsic differences between urban and rural communities. The comprehensive rurality evaluation index system is difficult to obtain indicators that reflect purely rural or urban characteristics; in addition, most of the data used in the evaluation index system come from statistical data, and the authenticity of the data cannot be guaranteed. Taking 25 towns in Lixia County and Shanghe County in Jinan city as the study area and using land use data and economic statistics data, the rurality evaluation (...)
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  • Spatiotemporal Characteristics of Urban Surface Temperature and Its Relationship with Landscape Metrics and Vegetation Cover in Rapid Urbanization Region.Hongbo Zhao, Juntao Tan, Zhibin Ren & Zheye Wang - 2020 - Complexity 2020:1-12.
    Under the trend of rapid urbanization, the urban heat island effect has become a hot issue for scholars to study. In order to better alleviate UHI effect, it is important to understand the effect of landuse/landcover and landscape patterns on the urban thermal environment from perspective of landscape ecology. This research aims to quantitatively investigate the effect of LULC landscape patterns on UHI effects more accurately based on a landscape metrics analysis. In addition, we also explore the complex relationship between (...)
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  • Spatial Pattern Characteristics and Influencing Factors of Green Use Efficiency of Urban Construction Land in Jilin Province.Huisheng Yu, Ge Song, Tong Li & Yanjun Liu - 2020 - Complexity 2020:1-12.
    How to explore the allocation and green utilization level of urban construction land resources has an important role in the sustainable development of the city. Taking 47 counties and cities in Jilin Province as an example, this paper evaluates the green utilization efficiency of urban construction land in 2011 and 2015 by using the unexpected output super-SBM model and explores the spatial-temporal differentiation characteristics and influencing factors of GUEUCL by using GIS and machine learning methods. The results show that the (...)
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  • Evolution and Differentiation of High-Quality Development of Marine Economy: A Case Study From China.Bo Li, Chuang Tian, Zhaoyuan Shi & Zenglin Han - 2020 - Complexity 2020:1-11.
    High-quality development is an innovative way to promote the sustainable development of the marine economy. This study uses China’s coastal areas as an example, constructing a research framework for the high-quality development of the country’s marine economy. The temporal and spatial variation in the high-quality development of China’s marine economy from 2006 to 2016 is explored utilizing the nuclear density estimation, entropy, and mean standard deviation classification methods. The results show the following: the policy orientation of China’s high-quality marine economic (...)
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  • Industrial Composition and Agglomeration Shadow: Evidence From China’s Large Urban Systems.Jiaming Li & Dongqi Sun - 2020 - Complexity 2020:1-11.
    New economic geography raises the question why the “agglomeration shadow” effect is significant in some urban regions but not others. This study attempts to answer this question in the context of China by examining the impact of industrial composition of core cities on regional urban systems. Based on the model of urban location from NEG, this study attempts to examine the population growth of six core cities and their urban systems in China. We find services exert a significantly negative effect (...)
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  • Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes.Andong Guo, Yuqing Zhang & Qing Hao - 2020 - Complexity 2020:1-12.
    Changes in land use/cover are among the most prominent impacts that humans have on the environment. Therefore, exploring land use/cover change is of great significance to urban planning and sustainable development. In this study, we preprocessed multiperiod land use and socioeconomic data, combined with spatial zoning, multilayer perception artificial neural network, and Markov chain, to construct a cellular automaton model of spatial zoning. Moreover, with the help of ArcGIS 10.2 and TerrSet 18.07 software, we explore the current status of land (...)
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  • Response Patterns of Vegetation Phenology Along Urban-Rural Gradients in Urban Areas of Different Sizes.Xue Luo, Yuqing Zhang & Dongqi Sun - 2020 - Complexity 2020:1-11.
    On the basis of MODIS Enhanced Vegetation Index time series data and multisource data, such as nighttime light data and China City Statistical Yearbook data, we investigated the differences in vegetation phenology along urban-rural gradients in urban areas of different sizes between coastal and inland cities in Liaoning Province, China. The results showed that the following: the iterative extraction of urban built-up areas using the threshold method based on nighttime light data combined with the definition of urban built-up areas had (...)
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  • Spatiotemporal Changes and Simulation of the Architectural Ethnicity at World Heritage Sites Under Tourism Development.Xi Yang, Cong Peng, Xueling Jiang, Juan Wang & Jun Liu - 2020 - Complexity 2020:1-15.
    This study was the first to integrate the quantitative analysis and simulation of spatiotemporal processes into research on the ethnicity of tourist destinations. Selecting the world heritage site of Jiuzhaigou in China as a case study, we employed remote sensing images and field observation to obtain the spatial distribution data of the site’s architectural ethnicity of 2005 and 2015. Logistic regression analysis was used to determine the mechanism driving changes in architectural ethnicity. Then, we proposed a Logistic-CA-Markov coupling model to (...)
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  • Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity.Pengyan Zhang, Yanyan Li, Wenlong Jing, Dan Yang, Yu Zhang, Ying Liu, Wenliang Geng, Tianqi Rong, Jingwen Shao, Jiaxin Yang & Mingzhou Qin - 2020 - Complexity 2020:1-12.
    Urbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in different regions have different impacts on NPP, especially in densely populated areas. However, to date, efforts to quantify urban expansion and climate change have been limited, and the impact of long-term continuous changes in NPP has not been (...)
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  • Utilisation Efficiency of Construction Land in China’s Coastal Cities Based on Debt Level.Hui Wang, Lu Qiao, Chuang Tian & Qiaoqiao Lin - 2020 - Complexity 2020:1-10.
    Optimising the allocation of population, land, and capital production resources is crucial for promoting an efficient urbanisation and solving the urban land financial problem. This study uses a panel threshold model to identify the response boundary of urban construction land use efficiency to government debt level for 51 postfinancial crisis Chinese coastal cities. The results indicate that the threshold of economic development level and provincial gross domestic product are 2.67 and 5.17, respectively. In cities with relatively backward economic development, an (...)
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  • A Fully Operational Framework for Handling Cellular Automata Templates.Mauricio Verardo & Pedro P. B. de Oliveira - 2019 - Complexity 2019:1-11.
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