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The coupling relationship between urbanization and ecological resilience in the Pearl River Delta

Journal of geographical Sciences 2022年第1期32卷 44-64页

作者： WANG Shaojian CUI Zitian LIN Jingjie XIE Jinyan SU Kun guangdong Provincial key laboratory of urbanization and geo-simulation School of Geography and PlanningSun Yat-sen UniversityGuangzhou 510275China

Urban resilience is an emerging research topic of urban studies, and its essence is described by the ability of cities to resist, recover, and adapt to uncertain disturbances. This paper constructs a "Size-Density-Morphology" urban ecological resilience evaluation system, uses a coupling coordination degree model to measure the degree of coupling coordination between urbanization and ecological resilience in the Pearl River Delta from 2000 to 2015, and conducts an in-depth discussion on its spatiotemporal characteristics. The results show the following.(1) From 2000 to 2015, the urbanization level of cities in the study area generally increased while the level of ecological resilience declined. The coupling coordination degree between the two systems decreased from basic coordination to basic imbalance.(2) In terms of spatial distribution, the coupling coordination degree between urbanization and ecological resilience of cities presented a circular pattern that centered on the cities at the estuary of the Pearl River and increased toward the periphery.(3) Ecological resilience sub-systems played variable roles in the coupling coordination between urbanization and ecological resilience. Specifically, size resilience mainly played a reverse blocking role;the influence of morphology resilience was generally positive and continued to increase over time;the effect of density resilience was positive and continued to decline and further became negative after falling below zero. The main pathways for achieving coordinated and sustainable development of future urbanization and ecological resilience in the Pearl River Delta include: leading the coordinated development of regions with new urbanization, improving ecological resilience by strictly observing the three areas and three lines, adapting to ecological carrying capacity, and rationally arranging urban green spaces.

关键词： urbanization ecological resilience size resilience density resilience morphology resilience coupling coordination model Pearl River Delta

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Simulating multiple urban land use changes by integrating transportation accessibility and a vector-based cellular automata:a case study on city of Toronto

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geo-Spatial Information Science 2022年第3期25卷 439-456页

作者： Xiaocong Xu Dachuan Zhang Xiaoping Liu Jinpei Ou Xinxin Wu School of geography and Planning Guangdong Key Laboratory for Urbanization and Geo-simulationSun Yat-Sen UniversityGuangzhouChina Southern Marine Science and Engineering guangdong laboratory(Zhuhai) ZhuhaiChina

The accessibility provided by the transportation system plays an essential role in driving urban growth and urban functional land use *** studies on land use simulation usually simplified the accessibility as proximities and adopted the grid-based simulation strategy,leading to the insufficiencies of characterizing spatial geometry of land parcels and simulating subtle land use changes among urban functional *** overcome these limita-tions,an Accessibility-interacted Vector-based Cellular Automata(A-VCA)model was proposed for the better simulation of realistic land use change among different urban functional *** accessibility at both local and zonal scales derived from actual travel time data was considered as a key driver of fine-scale urban land use changes and was integrated into the vector-based CA simulation *** proposed A-VCA model was tested through the simulation of urban land use changes in the City of Toronto,Canada,during 2012-2016.A vector-based CA without considering the driving factor of accessibility(VCA)and a popular grid-based CA model(Future Land Use simulation,FLUS)were also implemented for *** simulation results reveal that the proposed A-VCA model is capable of simulating fine-scale urban land use changes with satisfactory accuracy and good morphological feature(kappa=0.907,figure of merit=0.283,and cumulative producer’s accuracy=72.83%±1.535%).The comparison also shows significant outperformance of the A-VCA model against the VCA and FLUS models,suggesting the effectiveness of the accessibility-interactive mechanism and vector-based simulation *** proposed model provides new tools for a better simula-tion of fine-scale land use changes and can be used in assisting the formulation of urban and transportation planning.

关键词： Urban land use change simulation transportation accessibility Vector-based cellular automata(VCA)

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Administrative urbanization and City-making in Post-reform China: A Case Study of Ordos City, Inner Mongolia

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Chinese geographical Science 2017年第6期27卷 891-903页

作者： YIN Guanwen LIU Yungang College of geography and Environment Shandong Normal University guangdong Provincial key laboratory of urbanization and geo-simulation School of Geography and Planning Sun Yat-sen University

In post-reform China, local governments, instead of the central state, have become major promoters of urbanization. Differing from the existing literature based on Western theories, this article argues that a localized perspective, ‘administrative urbanization', can provide a contextual explanation for the mechanism of urbanization in the reform era. The case study of Ordos indicates that new town construction, especially in the inland area, has become the main strategy for investment attraction and economic development. The local government has played a dominant role in this construction through a series of administrative measures, including avoidance of central state regulations, land leasing, high standard infrastructure construction, relocation policies and industrial attraction. This article also explores the issue of unsustainability in the new town, and identifies that underdeveloped industrialization, slow population agglomeration and real estate bubbles are primary threats to the sustainability of administrative urbanization.

关键词： administrative urbanization local government sustainability Ordos China

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How Unique is ′China Model′: A Review of Theoretical Perspectives on China′s urbanization in Anglophone Literature

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Chinese geographical Science 2015年第1期25卷 98-112页

作者： WANG Fenglong LIU Yungang School of geography Sciences and Planning Guangdong Key Laboratory for Urbanization and Geo-simulation Sun Yat-sen University Department of geography Hong Kong Baptist University

As a major aspect of the ′China Model′, urbanization in China is being heatedly discussed in the Anglophone literature in the last two decades. By considering China′s urbanization as a ′testing ground′ of ′western′ theories, these studies are important for the understanding of China′s ongoing urban restructuring and exchanging knowledge with ′western′ insights. Based on a survey of existing studies, this paper identifies various endogenous and exogenous concepts and explanations of China′s urbanization. It is suggested that China′s urbanization is mainly driven by a combination of political decentralization and neoliberalization with various forms of social stratification and mobility. However, it is argued that the distinctness of the ′China Model′, which is usually used to support the legitimacy of studies of China′s urbanization, has led to many controversial arguments and diminished the due contributions of Chinese scholars in the knowledge production of China′s urbanization. To consolidate the legitimacy of studies on China′s urbanization and enhance the roles of Chinese scholars, we suggest future studies to pay more attentions to the fundamental theories with looser constraints and ′true questions′ on China′s urbanization.

关键词： theoretical perspective urbanization endogenous exogenous China Model

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The Environmental Impacts of Informal Economies in China: Inverted U-shaped Relationship and Regional Variances

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Chinese geographical Science 2021年第4期31卷 585-599页

作者： YANG Jiangmin TAN Yiming XUE Desheng HUANG Gengzhi XING Zuge guangdong key laboratory for urbanization and geo-simulation School of Geography and PlanningSun Yat-Sen UniversityGuangzhou 501275China Southern Marine Science and Engineering guangdong laboratory Zhuhai 519082China

This paper aims to the debate on the nexus between informal economies and the environment by investigating the long-term dynamic impacts of China’s informal economies on pollution and considering regional differences in informal economies’ *** paper uses the Multiple Indicators Multiple Causes(MIMIC) model to estimate the size of informal economies and employs econometric models to examine their relationships to pollution based on provincial-level panel data from 2000 to 2017. The results indicate that informal economies’ effects on environmental pollution are not purely positive or negative. Rather, our model indicates that there is an inverted U-shaped relationship between informal economies and pollution in the long run in China;this means that the level of environmental pollution increases at first and then decreases with the growth of informal economies. Further analysis shows that while this inverted, U-shaped relationship is significant in different regions of China, it is affected by different environmental impact factors. The paper concludes by discussing the policy implications for environmental protection and sustainable development.

关键词： informal economy pollution environmental Kuznets curve regional variances sustainable development

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State key laboratory of Automotive simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

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Efficient phase-induced gabor cube selection and weighted fusion for hyperspectral image classification

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Science China(Technological Sciences) 2022年第4期65卷 778-792页

作者： CAI RunLin LIU ChenYing LI Jun guangdong Provincial key laboratory of urbanization and geo-simulation School of Geography and PlanningSun Yat-sen UniversityGuangzhou 510275China Hubei key laboratory of Intelligent geo-Information Processing School of Computer ScienceChina University of GeosciencesWuhan 430078China

Spectral-spatial Gabor filtering(GF),a robust feature extraction tool,has been widely investigated for hyperspectral image(HSI)***,a new type of GF method,named phase-induced GF,which showed great potential for HSI feature extraction,was *** this new type of GF possibly better explores the frequency characteristics of HSIs,with a new parameter added,it generates a much larger amount of features,yielding redundancies and noises,and is therefore risky to severely deteriorate the efficiency and accuracy of *** tackle this problem,we fully exploit phase-induced Gabor features efficiently,proposing an efficient phase-induced Gabor cube selection and weighted fusion(EPCS-WF)method for HSI ***,to eliminate the redundancies and noises,we first select the most representative Gabor cubes using a newly designed energy-based phase-induced Gabor cube selection(EPCS)algorithm before feeding them into ***,a weighted fusion(WF)strategy is adopted to integrate the mutual information residing in different feature cubes to generate the final *** experimental results obtained on four well-known HSI datasets demonstrate that the EPCS-WF method,while only adopting four selected Gabor cubes for classification,delivers better performance as compared with other Gabor-based *** code of this work is available at https://***/cairlin5/EPCS-WF-hyperspectral-image-classification for the sake of reproducibility.

关键词： hyperspectral image(HSI)classification Gabor filtering(GF) phase offset feature selection weighted fusion(WF)

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Globe230k:A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 393-410页

作者： Qian Shi Da He Zhengyu Liu Xiaoping Liu Jingqian Xue School of geography and Planning Sun Yat-sen UniversityGuangzhou 510275China guangdong Provincial key laboratory for urbanization and geo-simulation Guangzhou 510275China

Global land cover map provides fundamental information for understanding the relationship between global environmental change and human *** the development of data-driven deep learning theory,semantic segmentation network has largely facilitated the global land cover mapping ***,the performance of semantic segmentation network is closely related to the number and quality of training data,and the existing annotation data are usually insufficient in quantity,quality,and spatial resolution,and are usually sampled at local region and lack diversity and variability,making data-driven model difficult to extend to global ***,we proposed a large-scale annotation dataset(Globe230k)for semantic segmentation of remote sensing image,which has 3 superiorities:(a)large scale:the Globe230k dataset includes 232,819 annotated images with a size of 512×512 and a spatial resolution of 1 m,including 10 firstlevel categories;(b)rich diversity:the annotated images are sampled from worldwide regions,with coverage area of over 60,000 km^(2),indicating a high variability and diversity;(c)multimodal:the Globe230k dataset not only contains RGB bands but also includes other important features for Earth system research,such as normalized differential vegetation index(NDVI),digital elevation model(DEM),vertical-vertical polarization(VV)bands,and vertical-horizontal polarization(VH)bands,which can facilitate the multimodal data fusion *** used the Globe230k dataset to test several state-of-the-art semantic segmentation algorithms and found that it is able to evaluate algorithms in multiple aspects that are crucial for characterizing land covers,including multiscale modeling,detail reconstruction,and generalization *** dataset has been made public and can be used as a benchmark to promote further development of global land cover mapping and semantic segmentation algorithm development.

关键词： Globe network modal

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Spatial Analysis of Commuting Mode Choice in Guangzhou, China

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Chinese geographical Science 2013年第3期23卷 353-364页

作者： ZHOU Suhong DENG Lifang HUANG Meiyu School of geography and Planning Sun Yat-sen University guangdong key laboratory for urbanization and geo-simulation Guangzhou Panyu Urban Planning & Design Institute Bartlett School of Planning University College London

Metropolitan cities in China are commonly confronted with unresolved traffic congestion issues, primarily due to rapidly increasing traffic demand. Group disparity between commuting mode choice and its spatial distribution on road networks has enabled us to examine the factors that give rise to the discrepancies and the fundamental spatial causes of traffic congestion. In recent years, mi- cro-perspective, individual, and behavior-based spatial analysis have mushroomed and been facilitated with effective tools such as tem- poral geographic information systems （T-GIS）. It is difficult to study the interrelations between transport and space on the basis of commuting mode choice since the mode choice data are invisible in a specific space such as a particular road network. Therefore, in the field of transport, the classical origin destination （OD） four-stage model （FSM） is usually employed to calculate data when studying commuting mode choice. Based on the relative principles of T-GIS and the platform of ArcGIS, this paper considers Guangzhou as a case study and develops a spatio-temporal tool to examine the daily activities of residents. Meanwhile, the traffic volume distribution in rush hours, which was analyzed according to commuting modes and how they were reflected in the road network, was scrutinized with data extracted from travel diaries. Moreover, efforts were made to explain the relationship between traffic demand and urban spatial structure. Based on the investigation, this research indicates that traffic volumes in divergent groups and on the road networks is driven by： l） the socio-economie characteristics of travelers; 2） a jobs-housing imbalance under suburbanization; 3） differences in the spatial supply of transport modes; 4） the remains of the Danwei （work unit） system and market development in China; and 5） the transition of urban spatial structure and other factors.

关键词： transport travel mode China temporal geographic information systems (T-GIS)

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Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends

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Journal of geographical Sciences 2020年第5期30卷 757-774页

作者： WANG Shaojian GAO Shuang HUANG Yongyuan SHI Chenyi guangdong Provincial key laboratory of urbanization and geo-simulation School of Geography and PlanningSun Yat-sen UniversityGuangzhou 510275China College of Urban and Environmental Sciences Peking UniversityBeijing 100871China

Climate change resulting from CO_2 emissions has become an important global environmental issue in recent *** carbon emission performance is one way to reduce carbon *** carbon emission performance has been discussed at the national and industrial levels,city-level studies are lacking due to the limited availability of statistics on energy *** this study,based on city-level remote sensing data on carbon emissions in China from 1992–2013,we used the slacks-based measure of super-efficiency to evaluate urban carbon emission *** traditional Markov probability transfer matrix and spatial Markov probability transfer matrix were constructed to explore the spatiotemporal evolution of urban carbon emission performance in China for the first time and predict long-term trends in carbon emission *** results show that urban carbon emission performance in China steadily increased during the study period with some ***,the overall level of carbon emission performance remains low,indicating great potential for improvements in energy conservation and emission *** spatial pattern of urban carbon emission performance in China can be described as"high in the south and low in the north,"and significant differences in carbon emission performance were found between *** spatial Markov probabilistic transfer matrix results indicate that the transfer of carbon emission performance in Chinese cities is stable,resulting in a"club convergence"***,neighborhood backgrounds play an important role in the transfer between carbon emission performance *** on the prediction of long-term trends in carbon emission performance,carbon emission performance is expected to improve gradually over ***,China should continue to strengthen research and development aimed at improving urban carbon emission performance and achieving the national energy conservation and emission reducti

关键词： urban carbon emission performance super-efficiency SBM model spatial Markov chain spatiotemporal patterns trend prediction China

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