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Elaborating Spatiotemporal Associations Between the Built Environment and Urban Vibrancy:A Case of Guangzhou City,China

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Chinese Geographical Science 2022年第3期32卷 480-492页

作者： WANG Bo LEI Yaqin XUE Desheng LIU Jixiang WEI Chunzhu School of Geography and Planning Sun Yat-sen UniversityGuangzhou 510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation Guangzhou 510275China Department of Urban Planning and Design the University of Hong KongHong Kong 999077China

This study applies multi-source datasets(i.e.,Baidu Heat Map data,points of interest(POIs)data,and floor area and land use data)and geographically and temporally weighted regression(GTWR)models to elaborate the spatiotemporal relationships between the built environment and urban vibrancy on both weekdays and weekends,using Guangzhou City as a ***,we verified the spatially and temporally nonstationary nature of the built environment correlates,which have been largely ignored in previous studies based on local regression *** spatially and temporally heterogeneous effects of the built environment on urban vibrancy are then presented and visualized,based on the GTWR *** found that the elasticity of location(i.e.,distance),land use mix(i.e.,diversity),building intensity and numbers of POIs with various functions(i.e.,density)are different across time(2-h intervals within a day)and space(grids),due to people’s everyday lifestyle,time-space constraints,and geographical context(e.g.,spatial structure).The findings highlight the importance of a better understanding of the local geography on the spatiotemporal relationships for urban planners and local governments so as to put forward decision-making support for fostering and maintaining urban vibrancy.

关键词： urban vibrancy Baidu Heat Map(BHM) built environment heterogeneity geographically and temporally weighted regression

Urban expansion patterns and their driving forces based on the center of gravity-GTWR model:A case study of the Beijing-Tianjin-Hebei urban agglomeration

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Journal of Geographical Sciences 2020年第2期30卷 297-318页

作者： WANG Haijun ZHANG Bin LIU Yaolin LIU Yanfang XU Shan ZHAO Yuntai CHEN Yuchen HONG Song School of Resources and Environmental Science Wuhan UniversityWuhan 430079China Key Laboratories of Geographic Information Systems Ministry of EducationWuhan UniversityWuhan 430079China Collaborative Innovation Center for Geospatial Information Science Wuhan UniversityWuhan 430079China Institute of Geographic Sciences and Natural Resources Research CASBeijing 100101China China Land Survey and Planning Institute Beijing 100035China

Research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and *** this paper,we reveal the multi-dimensional characteristics of urban expansion patterns,based on the intensity index of the urban expansion,the differentiation index of the urban expansion,the fractal dimension index,the land urbanization rate,and the center of gravity model,by taking the Beijing-Tianjin-Hebei(Jing-Jin-Ji)urban agglomeration as an *** then build the center of gravity-geographically and temporally weighted regression(GTWR)model by coupling the center of gravity model with the GTWR *** the analysis of the temporal and spatial patterns and by using the center of gravity-GTWR model,we analyze the driving forces of the urban land expansion and summarize the dominant development modes and core driving forces of the Jing-Jin-Ji urban *** results show that:1)Between 1990 and 2015,the expansion intensity of the Jing-Jin-Ji urban agglomeration showed a down-up-down trend,and the peak period was in *** 2005,high-speed development took place in Beijing,Tianjin,Baoding,and Langfang;after 2005,rapid development was seen in Xingtai and Handan.2)Although the barycenter of cities in the Jing-Jin-Ji urban agglomeration has shown a divergent trend,the local interaction between cities has been enhanced,and the driving forces of urban land expansion have shown a characteristic of spatial spillover.3)The spatial development mode of the Jing-Jin-Ji urban agglomeration has changed from a dual-core development mode to a multi-core development mode,which is made up of three functional cores:the transportation core in the northern part,the economic development core in the central part,and the investment core in the southern *** synergistic development between each functional core has led to the multi-core development mode.4)The center of gravity-GTWR model combines the analy

关键词： urban land expansion driving forces center of gravity geographically and temporally weighted regression Jing-Jin-Ji

Vegetation recovery trends under dual dominance of climate change and anthropogenic factors in the severely damaged areas of the Wenchuan earthquake

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Journal of Mountain Science 2022年第11期19卷 3131-3147页

作者： WANG Qian WANG Ze-gen YONG Zhi-wei ZHAO Kai XIONG Jun-nan DU Xue-mei Zhao Yang School of Geoscience and Technology Southwest Petroleum UniversityChengdu 610500China Applied Geology Research Center of China Geological Survey Chengdu 610036China School of Civil Engineering and Geomatics Southwest Petroleum UniversityChengdu 610500China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

The occurrence of the Wenchuan earthquake caused the degradation of regional ecosystems,including vegetation ***,the post-seismic vegetation recovery and its driving forces on the spatial-temporal scale are still vague,especially in the severely damaged areas(including Wenchuan,Beichuan,Mianzhu,Shifang,Qingchuan,Maoxian,Anzhou,Dujiangyan,Pingwu and Pengzhou).Here,we detected vegetation recovery in the severely damaged areas by using Ensemble Empirical Mode Decomposition(EEMD)to analyze the time series characteristics of the Enhanced Vegetation Index(EVI),and explored the driving effects of climate,land use types,nighttime light,water system,slope,and clay content on vegetation recovery based on geographically and temporally weighted regression(GTWR)*** results indicated that the post-seismic vegetation recovery rate increased rapidly(acceleration>0)but slowed down after *** the areas of best vegetation recovery(EVI increments>0.1)were distributed in the north of the study area,the Minjiang River Basin,and front fault and central fault of the Longmenshan Fault *** the areas with the worst vegetation recovery(EVI incrementsregression coefficients>0),but the impacts weakened after the earthquake,possibly due to the increase of secondary disasters induced by precipitation and the rise in maximum *** impact of cultivated land on vegetation recovery was mostly positive(regression coefficients>0),which may be related to the implementation of the Grain for Green *** nighttime light inhibited vegetation recovery(regression coefficients<0),which could be closely associated with *** results indicated that more attention should be paid to the nonlinear variatio

关键词： Vegetation recovery Enhanced Vegetation Index Ensemble empirical mode decomposition geographically and temporally weighted regression

Spatiotemporal variation of ecological environment quality and extreme climate drivers on the Qinghai-Tibetan Plateau

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Journal of Mountain Science 2023年第8期20卷 2282-2297页

作者： SUN Tao YANG Yan-mei WANG Ze-gen YONG Zhi-wei XIONG Jun-nan MA Guo-li LI Jie LIU Ao School of Civil Engineering and Geomatics Southwest Petroleum UniversityChengdu 610500China School of Geoscience and Technology Southwest Petroleum UniversityChengdu 610500China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Protecting the ecological security of the Qinghai-Tibet Plateau(QTP)is of great importance for global ecology and *** the past few decades,climate extremes have posed a significant challenge to the ecological environment of the ***,there are few studies that explored the effects of climate extremes on ecological environment quality of the QTP,and few researchers have made quantitative ***,this paper proposed the Ecological Environmental Quality Index(EEQI)for analyzing the spatial and temporal variation of ecological environment quality on the QTP from 2000 to 2020,and explored the effects of climate extremes on EEQI based on geographically and temporally weighted regression(GTWR)*** results showed that the ecological environment quality in QTP was poor in the west,but good in the *** 2000 and 2020,the area of EEQI variation was large(34.61%of the total area),but the intensity of EEQI variation was relatively low and occurred mainly by a slightly increasing level(EEQI change range of 0.05-0.1).The overall ecological environment quality of the QTP exhibited spatial and temporal fluctuations,which may be attributed to climate *** spatial heterogeneity was observed in the effects of the climate extremes on ecological environment ***,the effects of daily temperature range(DTR),number of frost days(FD0),maximum 5-day precipitation(RX5day),and moderate precipitation days(R10)on ecological environment quality were positive in most ***,there were significant temporal differences in the effects of consecutive dry days(CDD),consecutive wet days(CWD),R10,and FD0 on ecological environment *** differences may be attributed to variances in ecological environment quality,climate extremes,and vegetation types across different *** conclusion,the impact of climate extremes on ecological environment quality exhibits complex *** findings will assist managers in iden

关键词： Ecological environment quality Extreme climate geographically and temporally weighted regression Qinghai-Tibetan Plateau

Infuence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year’s longitudinal surveillance data:a spatio-temporal modelling study

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Infectious Diseases of Poverty 2023年第6期12卷 99-100页

作者： Xin Liu Yang Sun Yun Yin Xiaofeng Dai Robert Bergquist Fenghua Gao Rui Liu Jie Liu Fuju Wang Xiao Lv Zhijie Zhang College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao China No. 8 Institute of Geology and Mineral Resources Exploration of Shandong Province Rizhao China School of Public Health Fudan University Shanghai China Key Laboratory of Public Health Safety Ministry of Education Shanghai China Ingerod Brastad Sweden Anhui Institute of Schistosomiasis Control Hefei China

Background Urbanization greatly afects the natural and social environment of human existence and may have a multifactoral impact on parasitic ***,a common parasitic disease transmitted by the snail Oncomelania hupensis,is mainly found in areas with population aggregations along rivers and lakes where snails *** studies have suggested that factors related to urbanization may infuence the infection risk of schistosomiasis,but this association remains *** study aimed to analyse the efect of urbanization on schistosomiasis infection risk from a spatial and temporal perspective in the endemic areas along the Yangtze River Basin in *** County-level schistosomiasis surveillance data and natural environmental factor data covering the whole Anhui Province were *** urbanization level was characterized based on night-time light data from the Defense Meteorological Satellite Program Operational Linescan System(DMSP-OLS)and the National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite(NPP-VIIRS).The geographically and temporally weighted regression model(GTWR)was used to quantify the infuence of urbanization on schistosomiasis infection risk with the other potential risk factors *** regression coefcient of urbanization was tested for signifcance(α=0.05),and the infuence of urbanization on schistosomiasis infection risk was analysed over time and across space based on signifcant regression *** studied included climate,soil,vegetation,hydrology and *** The mean regression coefcient for urbanization(0.167)is second only to the leached soil area(0.300),which shows that the urbanization is the most important infuence factors for schistosomiasis infection risk besides leached soil *** other important variables are distance to the nearest water source(0.165),mean minimum temperature(0.130),broadleaf forest area(0.105),amount of precipitation(0.073),surface t

关键词： Urbanization Night-time light data Schistosomiasis Spatio-temporal analysis geographically and temporally weighted regression